[pintos-anon] / doc / tour.texi

@node Pintos Tour, Project 1--Threads, Introduction, Top
@chapter A Tour Through Pintos

This chapter is a brief tour through the Pintos code.  It covers the
entire code base, but you'll only be using Pintos one part at a time,
so you may find that you want to read each part as you work on the
corresponding project.

(Actually, the tour is currently incomplete.  It fully covers only the
threads project.)

We recommend using ``tags'' to follow along with references to function
and variable names (@pxref{Tags}).

@menu
* Pintos Loading::              
* Threads Tour::                
* User Programs Tour::          
* Virtual Memory Tour::         
* File Systems Tour::           
@end menu

@node Pintos Loading
@section Loading

This section covers the Pintos loader and basic kernel
initialization.

@menu
* Pintos Loader::               
* Kernel Initialization::       
@end menu

@node Pintos Loader
@subsection The Loader

The first part of Pintos that runs is the loader, in
@file{threads/loader.S}.  The PC BIOS loads the loader into memory.
The loader, in turn, is responsible for initializing the CPU, loading
the rest of Pintos into memory, and then jumping to its start.  It's
not important to understand exactly what the loader does, but if
you're interested, read on.  You should probably read along with the
loader's source.  You should also understand the basics of the
80@var{x}86 architecture as described by chapter 3 of
@bibref{IA32-v1}.

Because the PC BIOS loads the loader, the loader has to play by the
BIOS's rules.  In particular, the BIOS only loads 512 bytes (one disk
sector) into memory.  This is a severe restriction and it means that,
practically speaking, the loader has to be written in assembly
language.

Pintos' loader first initializes the CPU.  The first important part of
this is to enable the A20 line, that is, the CPU's address line
numbered 20.  For historical reasons, PCs start out with this address
line fixed at 0, which means that attempts to access memory beyond the
first 1 MB (2 raised to the 20th power) will fail.  Pintos wants to
access more memory than this, so we have to enable it.

Next, the loader asks the BIOS for the PC's memory size.  Again for
historical reasons, the function that we call in the BIOS to do this
can only detect up to 64 MB of RAM, so that's the practical limit that
Pintos can support.  The memory size is stashed away in a location in
the loader that the kernel can read after it boots.

Third, the loader creates a basic page table.  This page table maps
the 64 MB at the base of virtual memory (starting at virtual address
0) directly to the identical physical addresses.  It also maps the
same physical memory starting at virtual address
@code{LOADER_PHYS_BASE}, which defaults to @t{0xc0000000} (3 GB).  The
Pintos kernel only wants the latter mapping, but there's a
chicken-and-egg problem if we don't include the former: our current
virtual address is roughly @t{0x7c00}, the location where the BIOS
loaded us, and we can't jump to @t{0xc0007c00} until we turn on the
page table, but if we turn on the page table without jumping there,
then we've just pulled the rug out from under ourselves.

After the page table is initialized, we load the CPU's control
registers to turn on protected mode and paging, and then we set up the
segment registers.  We aren't equipped to handle interrupts in
protected mode yet, so we disable interrupts.

Finally it's time to load the kernel from disk.  We use a simple but
inflexible method to do this: we program the IDE disk
controller directly.  We assume that the kernel is stored starting
from the second sector of the first IDE disk (the first sector normally
contains the boot loader).  We also assume that the BIOS has
already set up the IDE controller for us.  We read
@code{KERNEL_LOAD_PAGES} pages of data (4 kB per page) from the disk directly
into virtual memory, starting @code{LOADER_KERN_BASE} bytes past
@code{LOADER_PHYS_BASE}, which by default means that we load the
kernel starting 1 MB into physical memory.

Then we jump to the start of the compiled kernel image.  Using the
``linker script'' in @file{threads/kernel.lds.S}, the kernel has
arranged that it begins with the assembly module
@file{threads/start.S}.  This assembly module just calls
@func{main}, which never returns.

There's one more trick: the Pintos kernel command line
is stored in the boot loader.  The @command{pintos} program actually
modifies the boot loader on disk each time it runs the kernel, putting
in whatever command line arguments the user supplies to the kernel,
and then the kernel at boot time reads those arguments out of the boot
loader in memory.  This is something of a nasty hack, but it is simple
and effective.

@node Kernel Initialization
@subsection Kernel Initialization

The kernel proper starts with the @func{main} function.  The
@func{main} function is written in C, as will be most of the code we
encounter in Pintos from here on out.

When @func{main} starts, the system is in a pretty raw state.  We're
in protected mode with paging enabled, but hardly anything else is
ready.  Thus, the @func{main} function consists primarily of calls
into other Pintos modules' initialization functions.  
These are usually named @func{@var{module}_init}, where
@var{module} is the module's name, @file{@var{module}.c} is the
module's source code, and @file{@var{module}.h} is the module's
header.

First we initialize kernel RAM in @func{ram_init}.  The first step
is to clear out the kernel's so-called ``BSS'' segment.  The BSS is a
segment that should be initialized to all zeros.  In most C
implementations, whenever you
declare a variable outside a function without providing an
initializer, that variable goes into the BSS.  Because it's all zeros, the
BSS isn't stored in the image that the loader brought into memory.  We
just use @func{memset} to zero it out.  The other task of
@func{ram_init} is to read out the machine's memory size from where
the loader stored it and put it into the @code{ram_pages} variable for
later use.

Next, @func{thread_init} initializes the thread system.  We will defer
full discussion to our discussion of Pintos threads below.  It is
called so early in initialization because the console, initialized
just afterward, tries to use locks, and locks in turn require there to be a
running thread.

Then we initialize the console so that we can use @func{printf}.
@func{main} calls @func{vga_init}, which initializes the VGA text
display and clears the screen.  It also calls @func{serial_init_poll}
to initialize the first serial port in ``polling mode,'' that is,
where the kernel busy-waits for the port to be ready for each
character to be output.  (We use polling mode until we're ready to set
up interrupts later.)  Finally we initialize the console device and
print a startup message to the console.

@func{main} calls @func{read_command_line} to break the kernel command
line into arguments, then @func{parse_options} to read any options at
the beginning of the command line.  (Executing actions specified on the
command line happens later.)

The next block of functions we call initialize the kernel's memory
system.  @func{palloc_init} sets up the kernel page allocator, which
doles out memory one or more pages at a time.  @func{malloc_init} sets
up the allocator that handles odd-sized allocations.
@func{paging_init} sets up a page table for the kernel.

In projects 2 and later, @func{main} also calls @func{tss_init} and
@func{gdt_init}, but we'll talk about those later.

@func{main} calls @func{random_init} to initialize the kernel random
number generator.  If the user specified @option{-rs} on the
@command{pintos} command line, @func{parse_options} has already done
this, but calling it a second time is harmless and has no effect.

We initialize the interrupt system in the next set of calls.
@func{intr_init} sets up the CPU's @dfn{interrupt descriptor table}
(IDT) to ready it for interrupt handling (@pxref{Interrupt
Infrastructure}), then @func{timer_init} and @func{kbd_init} prepare for
handling timer interrupts and keyboard interrupts, respectively.  In
projects 2 and later, we also prepare to handle interrupts caused by
user programs using @func{exception_init} and @func{syscall_init}.

Now that interrupts are set up, we can start preemptively scheduling
threads with @func{thread_start}, which also enables interrupts.
With interrupts enabled, interrupt-driven serial port I/O becomes
possible, so we use
@func{serial_init_queue} to switch to that mode.  Finally,
@func{timer_calibrate} calibrates the timer for accurate short delays.

If the file system is compiled in, as it will starting in project 2, we
now initialize the disks with @func{disk_init}, then the
file system with @func{filesys_init}.

Boot is complete, so we print a message.

Function @func{run_actions} now parses and executes actions specified on
the kernel command line, such as @command{run} to run a test (in project
1) or a user program (in later projects).

Finally, if @option{-q} was specified on the kernel command line, we
call @func{power_off} to terminate the machine simulator.  Otherwise,
@func{main} calls @func{thread_exit}, which allows any other running
threads to continue running.

@node Threads Tour
@section Threads Project

@menu
* Thread Support::              
* Synchronization::             
* Interrupt Handling::          
* Memory Allocation::           
@end menu

@node Thread Support
@subsection Thread Support

@menu
* struct thread::               
* Thread Functions::            
* Thread Switching::            
@end menu

@node struct thread
@subsubsection @code{struct thread}

The main Pintos data structure for threads is @struct{thread},
declared in @file{threads/thread.h}.

@deftp {Structure} {@struct{thread}}
Represents a thread or a user process.  In the projects, you will have
to add your own members to @struct{thread}.  You may also change or
delete the definitions of existing members.

Every @struct{thread} occupies the beginning of its own page of
memory.  The rest of the page is used for the thread's stack, which
grows downward from the end of the page.  It looks like this:

@example
@group
        4 kB +---------------------------------+
             |          kernel stack           |
             |                |                |
             |                |                |
             |                V                |
             |         grows downward          |
             |                                 |
             |                                 |
             |                                 |
             |                                 |
             |                                 |
             |                                 |
             |                                 |
             |                                 |
             +---------------------------------+
             |              magic              |
             |                :                |
             |                :                |
             |              status             |
             |               tid               |
        0 kB +---------------------------------+
@end group
@end example

This has two consequences.  First, @struct{thread} must not be allowed
to grow too big.  If it does, then there will not be enough room for the
kernel stack.  The base @struct{thread} is only a few bytes in size.  It
probably should stay well under 1 kB.

Second, kernel stacks must not be allowed to grow too large.  If a stack
overflows, it will corrupt the thread state.  Thus, kernel functions
should not allocate large structures or arrays as non-static local
variables.  Use dynamic allocation with @func{malloc} or
@func{palloc_get_page} instead (@pxref{Memory Allocation}).
@end deftp

@deftypecv {Member} {@struct{thread}} {tid_t} tid
The thread's thread identifier or @dfn{tid}.  Every thread must have a
tid that is unique over the entire lifetime of the kernel.  By
default, @code{tid_t} is a @code{typedef} for @code{int} and each new
thread receives the numerically next higher tid, starting from 1 for
the initial process.  You can change the type and the numbering scheme
if you like.
@end deftypecv

@deftypecv {Member} {@struct{thread}} {enum thread_status} status
The thread's state, one of the following:

@defvr {Thread State} @code{THREAD_RUNNING}
The thread is running.  Exactly one thread is running at a given time.
@func{thread_current} returns the running thread.
@end defvr

@defvr {Thread State} @code{THREAD_READY}
The thread is ready to run, but it's not running right now.  The
thread could be selected to run the next time the scheduler is
invoked.  Ready threads are kept in a doubly linked list called
@code{ready_list}.
@end defvr

@defvr {Thread State} @code{THREAD_BLOCKED}
The thread is waiting for something, e.g.@: a lock to become
available, an interrupt to be invoked.  The thread won't be scheduled
again until it transitions to the @code{THREAD_READY} state with a
call to @func{thread_unblock}.
@end defvr

@defvr {Thread State} @code{THREAD_DYING}
The thread will be destroyed by the scheduler after switching to the
next thread.
@end defvr
@end deftypecv

@deftypecv {Member} {@struct{thread}} {char} name[16]
The thread's name as a string, or at least the first few characters of
it.
@end deftypecv

@deftypecv {Member} {@struct{thread}} {uint8_t *} stack
Every thread has its own stack to keep track of its state.  When the
thread is running, the CPU's stack pointer register tracks the top of
the stack and this member is unused.  But when the CPU switches to
another thread, this member saves the thread's stack pointer.  No
other members are needed to save the thread's registers, because the
other registers that must be saved are saved on the stack.

When an interrupt occurs, whether in the kernel or a user program, an
@struct{intr_frame} is pushed onto the stack.  When the interrupt occurs
in a user program, the @struct{intr_frame} is always at the very top of
the page.  @xref{Interrupt Handling}, for more information.
@end deftypecv

@deftypecv {Member} {@struct{thread}} {int} priority
A thread priority, ranging from @code{PRI_MIN} (0) to @code{PRI_MAX}
(63).  Lower numbers correspond to @emph{higher} priorities, so that
priority 0 is the highest priority and priority 63 is the lowest.
Pintos as provided ignores thread priorities, but you will implement
priority scheduling in project 1 (@pxref{Priority Scheduling}).
@end deftypecv

@deftypecv {Member} {@struct{thread}} {@struct{list_elem}} elem
A ``list element'' used to put the thread into doubly linked lists,
either the list of threads ready to run or a list of threads waiting
on a semaphore.  Take a look at @file{lib/kernel/list.h} for
information on how to use Pintos doubly linked lists.
@end deftypecv

@deftypecv {Member} {@struct{thread}} {uint32_t *} pagedir
Only present in project 2 and later.
@end deftypecv

@deftypecv {Member} {@struct{thread}} {unsigned} magic
Always set to @code{THREAD_MAGIC}, which is just a random number defined
in @file{threads/thread.c}, and used to detect stack overflow.
@func{thread_current} checks that the @code{magic} member of the running
thread's @struct{thread} is set to @code{THREAD_MAGIC}.  Stack overflow
will normally change this value, triggering the assertion.  For greatest
benefit, as you add members to @struct{thread}, leave @code{magic} as
the final member.
@end deftypecv

@node Thread Functions
@subsubsection Thread Functions

@file{threads/thread.c} implements several public functions for thread
support.  Let's take a look at the most useful:

@deftypefun void thread_init (void)
Called by @func{main} to initialize the thread system.  Its main
purpose is to create a @struct{thread} for Pintos's initial thread.
This is possible because the Pintos loader puts the initial
thread's stack at the top of a page, in the same position as any other
Pintos thread.

Before @func{thread_init} runs,
@func{thread_current} will fail because the running thread's
@code{magic} value is incorrect.  Lots of functions call
@func{thread_current} directly or indirectly, including
@func{lock_acquire} for locking a lock, so @func{thread_init} is
called early in Pintos initialization.
@end deftypefun

@deftypefun void thread_start (void)
Called by @func{main} to start the scheduler.  Creates the idle
thread, that is, the thread that is scheduled when no other thread is
ready.  Then enables interrupts, which as a side effect enables the
scheduler because the scheduler runs on return from the timer interrupt, using
@func{intr_yield_on_return} (@pxref{External Interrupt Handling}).
@end deftypefun

@deftypefun void thread_tick (void)
Called by the timer interrupt at each timer tick.  It keeps track of
thread statistics and triggers the scheduler when a time slice expires.
@end deftypefun

@deftypefun void thread_print_stats (void)
Called during Pintos shutdown to print thread statistics.
@end deftypefun

@deftypefun tid_t thread_create (const char *@var{name}, int @var{priority}, thread_func *@var{func}, void *@var{aux})
Creates and starts a new thread named @var{name} with the given
@var{priority}, returning the new thread's tid.  The thread executes
@var{func}, passing @var{aux} as the function's single argument.

@func{thread_create} allocates a page for the thread's
@struct{thread} and stack and initializes its members, then it sets
up a set of fake stack frames for it (more about this
later).  The thread is initialized in the blocked state, so the final
action before returning is to unblock it, which allows the new thread to
be scheduled.
@end deftypefun

@deftp {Type} {void thread_func (void *@var{aux})}
This is the type of a thread function.  Its @var{aux} argument is the
value passed to @func{thread_create}.
@end deftp

@deftypefun void thread_block (void)
Transitions the running thread from the running state to the blocked
state.  The thread will not run again until @func{thread_unblock} is
called on it, so you'd better have some way arranged for that to happen.
Because @func{thread_block} is so low-level, you should prefer to use
one of the synchronization primitives instead (@pxref{Synchronization}).
@end deftypefun

@deftypefun void thread_unblock (struct thread *@var{thread})
Transitions @var{thread}, which must be in the blocked state, to the
ready state, allowing it to resume running.  This is called when the
event that the thread is waiting for occurs, e.g.@: when the lock that
the thread is waiting on becomes available.
@end deftypefun

@deftypefun {struct thread *} thread_current (void)
Returns the running thread.
@end deftypefun

@deftypefun {tid_t} thread_tid (void)
Returns the running thread's thread id.  Equivalent to
@code{thread_current ()->tid}.
@end deftypefun

@deftypefun {const char *} thread_name (void)
Returns the running thread's name.  Equivalent to @code{thread_current
()->name}.
@end deftypefun

@deftypefun void thread_exit (void) @code{NO_RETURN}
Causes the current thread to exit.  Never returns, hence
@code{NO_RETURN} (@pxref{Function and Parameter Attributes}).
@end deftypefun

@deftypefun void thread_yield (void)
Yields the CPU to the scheduler, which picks a new thread to run.  The
new thread might be the current thread, so you can't depend on this
function to keep this thread from running for any particular length of
time.
@end deftypefun

@deftypefun int thread_get_priority (void)
@deftypefunx void thread_set_priority (int @var{new_priority})
Skeleton to set and get thread priority.  @xref{Priority Scheduling}.
@end deftypefun

@deftypefun int thread_get_nice (void)
@deftypefunx void thread_set_nice (int @var{new_nice})
@deftypefunx int thread_get_recent_cpu (void)
@deftypefunx int thread_get_load_avg (void)
Skeletons for the advanced scheduler.  @xref{4.4BSD Scheduler}.
@end deftypefun

@node Thread Switching
@subsubsection Thread Switching

@func{schedule} is the function responsible for switching threads.  It
is internal to @file{threads/thread.c} and called only by the three
public thread functions that need to switch threads:
@func{thread_block}, @func{thread_exit}, and @func{thread_yield}.
Before any of these functions call @func{schedule}, they disable
interrupts (or ensure that they are already disabled) and then change
the running thread's state to something other than running.

@func{schedule} is simple but tricky.  It records the
current thread in local variable @var{cur}, determines the next thread
to run as local variable @var{next} (by calling
@func{next_thread_to_run}), and then calls @func{switch_threads} to do
the actual thread switch.  The thread we switched to was also running
inside @func{switch_threads}, as are all the threads not currently
running, so the new thread now returns out of
@func{switch_threads}, returning the previously running thread.

@func{switch_threads} is an assembly language routine in
@file{threads/switch.S}.  It saves registers on the stack, saves the
CPU's current stack pointer in the current @struct{thread}'s @code{stack}
member, restores the new thread's @code{stack} into the CPU's stack
pointer, restores registers from the stack, and returns.

The rest of the scheduler is implemented as @func{schedule_tail}.  It
marks the new thread as running.  If the thread we just switched from
is in the dying state, then it also frees the page that contained the
dying thread's @struct{thread} and stack.  These couldn't be freed
prior to the thread switch because the switch needed to use it.

Running a thread for the first time is a special case.  When
@func{thread_create} creates a new thread, it goes through a fair
amount of trouble to get it started properly.  In particular, a new
thread hasn't started running yet, so there's no way for it to be
running inside @func{switch_threads} as the scheduler expects.  To
solve the problem, @func{thread_create} creates some fake stack frames
in the new thread's stack:

@itemize @bullet
@item
The topmost fake stack frame is for @func{switch_threads}, represented
by @struct{switch_threads_frame}.  The important part of this frame is
its @code{eip} member, the return address.  We point @code{eip} to
@func{switch_entry}, indicating it to be the function that called
@func{switch_entry}.

@item
The next fake stack frame is for @func{switch_entry}, an assembly
language routine in @file{threads/switch.S} that adjusts the stack
pointer,@footnote{This is because @func{switch_threads} takes
arguments on the stack and the 80@var{x}86 SVR4 calling convention
requires the caller, not the called function, to remove them when the
call is complete.  See @bibref{SysV-i386} chapter 3 for details.}
calls @func{schedule_tail} (this special case is why
@func{schedule_tail} is separate from @func{schedule}), and returns.
We fill in its stack frame so that it returns into
@func{kernel_thread}, a function in @file{threads/thread.c}.

@item
The final stack frame is for @func{kernel_thread}, which enables
interrupts and calls the thread's function (the function passed to
@func{thread_create}).  If the thread's function returns, it calls
@func{thread_exit} to terminate the thread.
@end itemize

@node Synchronization
@subsection Synchronization

If sharing of resources between threads is not handled in a careful,
controlled fashion, then the result is usually a big mess.
This is especially the case in operating system kernels, where
faulty sharing can crash the entire machine.  Pintos provides several
synchronization primitives to help out.

@menu
* Disabling Interrupts::        
* Semaphores::                  
* Locks::                       
* Condition Variables::         
* Memory Barriers::             
@end menu

@node Disabling Interrupts
@subsubsection Disabling Interrupts

The crudest way to do synchronization is to disable interrupts, that
is, to temporarily prevent the CPU from responding to interrupts.  If
interrupts are off, no other thread will preempt the running thread,
because thread preemption is driven by the timer interrupt.  If
interrupts are on, as they normally are, then the running thread may
be preempted by another at any time, whether between two C statements
or even within the execution of one.

Incidentally, this means that Pintos is a ``preemptible kernel,'' that
is, kernel threads can be preempted at any time.  Traditional Unix
systems are ``nonpreemptible,'' that is, kernel threads can only be
preempted at points where they explicitly call into the scheduler.
(User programs can be preempted at any time in both models.)  As you
might imagine, preemptible kernels require more explicit
synchronization.

You should have little need to set the interrupt state directly.  Most
of the time you should use the other synchronization primitives
described in the following sections.  The main reason to disable
interrupts is to synchronize kernel threads with external interrupt
handlers, which cannot sleep and thus cannot use most other forms of
synchronization (@pxref{External Interrupt Handling}).

Types and functions for disabling and enabling interrupts are in
@file{threads/interrupt.h}.

@deftp Type {enum intr_level}
One of @code{INTR_OFF} or @code{INTR_ON}, denoting that interrupts are
disabled or enabled, respectively.
@end deftp

@deftypefun {enum intr_level} intr_get_level (void)
Returns the current interrupt state.
@end deftypefun

@deftypefun {enum intr_level} intr_set_level (enum intr_level @var{level})
Turns interrupts on or off according to @var{level}.  Returns the
previous interrupt state.
@end deftypefun

@deftypefun {enum intr_level} intr_enable (void)
Turns interrupts on.  Returns the previous interrupt state.
@end deftypefun

@deftypefun {enum intr_level} intr_disable (void)
Turns interrupts off.  Returns the previous interrupt state.
@end deftypefun

@node Semaphores
@subsubsection Semaphores

Pintos' semaphore type and operations are declared in
@file{threads/synch.h}.

@deftp {Type} {struct semaphore}
Represents a @dfn{semaphore}, a nonnegative integer together with two
operators that manipulate it atomically, which are:

@itemize @bullet
@item
``Down'' or ``P'': wait for the value to become positive, then
decrement it.

@item
``Up'' or ``V'': increment the value (and wake up one waiting thread,
if any).
@end itemize

A semaphore initialized to 0 may be used to wait for an event
that will happen exactly once.  For example, suppose thread @var{A}
starts another thread @var{B} and wants to wait for @var{B} to signal
that some activity is complete.  @var{A} can create a semaphore
initialized to 0, pass it to @var{B} as it starts it, and then
``down'' the semaphore.  When @var{B} finishes its activity, it
``ups'' the semaphore.  This works regardless of whether @var{A}
``downs'' the semaphore or @var{B} ``ups'' it first.

A semaphore initialized to 1 is typically used for controlling access
to a resource.  Before a block of code starts using the resource, it
``downs'' the semaphore, then after it is done with the resource it
``ups'' the resource.  In such a case a lock, described below, may be
more appropriate.

Semaphores can also be initialized to values larger than 1.  These are
rarely used.
@end deftp

@deftypefun void sema_init (struct semaphore *@var{sema}, unsigned @var{value})
Initializes @var{sema} as a new semaphore with the given initial
@var{value}.
@end deftypefun

@deftypefun void sema_down (struct semaphore *@var{sema})
Executes the ``down'' or ``P'' operation on @var{sema}, waiting for
its value to become positive and then decrementing it by one.
@end deftypefun

@deftypefun bool sema_try_down (struct semaphore *@var{sema})
Tries to execute the ``down'' or ``P'' operation on @var{sema},
without waiting.  Returns true if @var{sema} had a positive value
that was successfully decremented, or false if it was already
zero and thus could not be decremented.  Calling this function in a
tight loop wastes CPU time (use @func{sema_down} instead, or find a
different approach).
@end deftypefun

@deftypefun void sema_up (struct semaphore *@var{sema})
Executes the ``up'' or ``V'' operation on @var{sema},
incrementing its value.  If any threads are waiting on
@var{sema}, wakes one of them up.
@end deftypefun

Semaphores are internally built out of disabling interrupt
(@pxref{Disabling Interrupts}) and thread blocking and unblocking
(@func{thread_block} and @func{thread_unblock}).  Each semaphore maintains
a list of waiting threads, using the linked list
implementation in @file{lib/kernel/list.c}.

@node Locks
@subsubsection Locks

Lock types and functions are declared in @file{threads/synch.h}.

@deftp {Type} {struct lock}
Represents a @dfn{lock}, a specialized semaphore with an initial value
of 1 (@pxref{Semaphores}).  The difference between a lock and such a
semaphore is twofold.  First, a semaphore does not have an owner,
meaning that one thread can ``down'' the semaphore and then another one
``up'' it, but a single thread must both acquire and release a lock.
Second, a semaphore can have a value greater than 1, but a lock can only
be owned by a single thread at a time.  If these restrictions prove
onerous, it's a good sign that a semaphore should be used, instead of a
lock.

Locks in Pintos are not ``recursive,'' that is, it is an error for the
thread currently holding a lock to try to acquire that lock.
@end deftp

@deftypefun void lock_init (struct lock *@var{lock})
Initializes @var{lock} as a new lock.
@end deftypefun

@deftypefun void lock_acquire (struct lock *@var{lock})
Acquires @var{lock} for use by the current thread, first waiting for
any current owner to release it if necessary.
@end deftypefun

@deftypefun bool lock_try_acquire (struct lock *@var{lock})
Tries to acquire @var{lock} for use by the current thread, without
waiting.  Returns true if successful, false if the lock is already
owned.  Calling this function in a tight loop is a bad idea because it
wastes CPU time (use @func{lock_acquire} instead).
@end deftypefun

@deftypefun void lock_release (struct lock *@var{lock})
Releases @var{lock}, which the current thread must own.
@end deftypefun

@deftypefun bool lock_held_by_current_thread (const struct lock *@var{lock})
Returns true if the running thread owns @var{lock},
false otherwise.
@end deftypefun

@node Condition Variables
@subsubsection Condition Variables

Condition variable types and functions are declared in
@file{threads/synch.h}.

@deftp {Type} {struct condition}
Represents a condition variable, which allows one piece of code to
signal a condition
and cooperating code to receive the signal and act upon it.  Each
condition variable is associated with a lock.  A given condition
variable is associated with only a single lock, but one lock may be
associated with any number of condition variables.  A set of condition
variables taken together with their lock is called a ``monitor.''

A thread that owns the monitor lock is said to be ``in the monitor.''
The thread in the monitor has control over all the data protected by
the lock.  It may freely examine or modify this data.  If it discovers
that it needs to wait for some condition to become true, then it
``waits'' on the associated condition, which releases the lock and
waits for the condition to be signaled.  If, on the other hand, it has
caused one of these conditions to become true, it ``signals'' the
condition to wake up one waiter, or ``broadcasts'' the condition to
wake all of them.

Pintos monitors are ``Mesa'' style, not
``Hoare'' style.  That is, sending and receiving a signal are not an
atomic operation.  Thus, typically the caller must recheck the
condition after the wait completes and, if necessary, wait again.
@end deftp

@deftypefun void cond_init (struct condition *@var{cond})
Initializes @var{cond} as a new condition variable.
@end deftypefun

@deftypefun void cond_wait (struct condition *@var{cond}, struct lock *@var{lock})
Atomically releases @var{lock} (the monitor lock) and waits for
@var{cond} to be signaled by some other piece of code.  After
@var{cond} is signaled, reacquires @var{lock} before returning.
@var{lock} must be held before calling this function.
@end deftypefun

@deftypefun void cond_signal (struct condition *@var{cond}, struct lock *@var{lock})
If any threads are waiting on @var{cond} (protected by monitor lock
@var{lock}), then this function wakes up one of them.  If no threads are
waiting, returns without performing any action.
@var{lock} must be held before calling this function.
@end deftypefun

@deftypefun void cond_broadcast (struct condition *@var{cond}, struct lock *@var{lock})
Wakes up all threads, if any, waiting on @var{cond} (protected by
monitor lock @var{lock}).  @var{lock} must be held before calling this
function.
@end deftypefun

@subsubheading Monitor Example

The classical example of a monitor is handling a buffer into which one
``producer'' thread writes characters and out of which a second
``consumer'' thread reads characters.  To implement this case we need,
besides the monitor lock, two condition variables which we will call
@var{not_full} and @var{not_empty}:

@example
char buf[BUF_SIZE];     /* @r{Buffer.} */
size_t n = 0;           /* @r{0 <= n <= @var{BUF_SIZE}: # of characters in buffer.} */
size_t head = 0;        /* @r{@var{buf} index of next char to write (mod @var{BUF_SIZE}).} */
size_t tail = 0;        /* @r{@var{buf} index of next char to read (mod @var{BUF_SIZE}).} */
struct lock lock;       /* @r{Monitor lock.} */
struct condition not_empty; /* @r{Signaled when the buffer is not empty.} */
struct condition not_full; /* @r{Signaled when the buffer is not full.} */

@dots{}@r{initialize the locks and condition variables}@dots{}

void put (char ch) @{
  lock_acquire (&lock);
  while (n == BUF_SIZE)            /* @r{Can't add to @var{buf} as long as it's full.} */
    cond_wait (&not_full, &lock);
  buf[head++ % BUF_SIZE] = ch;     /* @r{Add @var{ch} to @var{buf}.} */
  n++;
  cond_signal (&not_empty, &lock); /* @r{@var{buf} can't be empty anymore.} */
  lock_release (&lock);
@}

char get (void) @{
  char ch;
  lock_acquire (&lock);
  while (n == 0)                  /* @r{Can't read @var{buf} as long as it's empty.} */
    cond_wait (&not_empty, &lock);
  ch = buf[tail++ % BUF_SIZE];    /* @r{Get @var{ch} from @var{buf}.} */
  n--;
  cond_signal (&not_full, &lock); /* @r{@var{buf} can't be full anymore.} */
  lock_release (&lock);
@}
@end example

@node Memory Barriers
@subsubsection Memory Barriers

Suppose we add a ``feature'' that, whenever a timer interrupt
occurs, the character in global variable @code{timer_put_char} is
printed on the console, but only if global Boolean variable
@code{timer_do_put} is true.

If interrupts are enabled, this code for setting up @samp{x} to be
printed is clearly incorrect, because the timer interrupt could intervene
between the two assignments:

@example
timer_do_put = true;            /* INCORRECT CODE */
timer_put_char = 'x';
@end example

It might not be as obvious that the following code is just as
incorrect:

@example
timer_put_char = 'x';           /* INCORRECT CODE */
timer_do_put = true;
@end example

The reason this second example might be a problem is that the compiler
is, in general, free to reorder operations when it doesn't have a
visible reason to keep them in the same order.  In this case, the
compiler doesn't know that the order of assignments is important, so its
optimization pass is permitted to exchange their order.
There's no telling whether it will actually do this, and it is possible
that passing the compiler different optimization flags or changing
compiler versions will produce different behavior.

The following is @emph{not} a solution, because locks neither prevent
interrupts nor prevent the compiler from reordering the code within the
region where the lock is held:

@example
lock_acquire (&timer_lock);     /* INCORRECT CODE */
timer_put_char = 'x';
timer_do_put = true;
lock_release (&timer_lock);
@end example

Fortunately, real solutions do exist.  One possibility is to
disable interrupts around the assignments.  This does not prevent
reordering, but it makes the assignments atomic as observed by the
interrupt handler.  It also has the extra runtime cost of disabling and
re-enabling interrupts:

@example
enum intr_level old_level = intr_disable ();
timer_put_char = 'x';
timer_do_put = true;
intr_set_level (old_level);
@end example

A second possibility is to mark the declarations of
@code{timer_put_char} and @code{timer_do_put} as @samp{volatile}.  This
keyword tells the compiler that the variables are externally observable
and allows it less latitude for optimization.  However, the semantics of
@samp{volatile} are not well-defined, so it is not a good general
solution.

Usually, the best solution is to use a compiler feature called a
@dfn{memory barrier}, a special statement that prevents the compiler
from reordering memory operations across the barrier.  In Pintos,
@file{threads/synch.h} defines the @code{barrier()} macro as a memory
barrier.  Here's how we would use a memory barrier to fix this code:

@example
timer_put_char = 'x';
barrier ();
timer_do_put = true;
@end example

The compiler also treats invocation of any function defined externally,
that is, in another source file, as a limited form of a memory barrier.
Specifically, the compiler assumes that any externally defined function
may access any statically or dynamically allocated data and any local
variable whose address is taken.  This often means that explicit
barriers can be omitted, and, indeed, this is why the base Pintos code
does not need any barriers.

A function defined in the same source file, or in a header included by
the source file, cannot be relied upon as a memory barrier.
This applies even to invocation of a function before its
definition, because the compiler may read and parse the entire source
file before performing optimization.

@node Interrupt Handling
@subsection Interrupt Handling

An @dfn{interrupt} notifies the CPU of some event.  Much of the work
of an operating system relates to interrupts in one way or another.
For our purposes, we classify interrupts into two broad categories:

@itemize @bullet
@item
@dfn{External interrupts}, that is, interrupts originating outside the
CPU.  These interrupts come from hardware devices such as the system
timer, keyboard, serial ports, and disks.  External interrupts are
@dfn{asynchronous}, meaning that their delivery is not
synchronized with normal CPU activities.  External interrupts
are what @func{intr_disable} and related functions
postpone (@pxref{Disabling Interrupts}).

@item
@dfn{Internal interrupts}, that is, interrupts caused by something
executing on the CPU.  These interrupts are caused by something
unusual happening during instruction execution: accessing invalid
memory (a @dfn{page fault}), executing invalid instructions, and
various other disallowed activities.  Because they are caused by CPU
instructions, internal interrupts are @dfn{synchronous} or
synchronized with CPU instructions.  @func{intr_disable} does not
disable internal interrupts.
@end itemize

Because the CPU treats all interrupts largely the same way, regardless
of source, Pintos uses the same infrastructure for both internal and
external interrupts, to a point.  The following section describes this
common infrastructure, and sections after that give the specifics of
external and internal interrupts.

If you haven't already read chapter 3 in @bibref{IA32-v1}, it is
recommended that you do so now.  You might also want to skim chapter 5
in @bibref{IA32-v3}.

@menu
* Interrupt Infrastructure::    
* Internal Interrupt Handling::  
* External Interrupt Handling::  
@end menu

@node Interrupt Infrastructure
@subsubsection Interrupt Infrastructure

When an interrupt occurs while the kernel is running, the CPU saves
its most essential state on the stack and jumps to an interrupt
handler routine.  The 80@var{x}86 architecture allows for 256 possible
interrupts, each of which can have its own handler. The handler for
each interrupt is defined in an array called the @dfn{interrupt
descriptor table} or IDT.

In Pintos, @func{intr_init} in @file{threads/interrupt.c} sets up the
IDT so that each entry points to a unique entry point in
@file{threads/intr-stubs.S} named @func{intr@var{NN}_stub}, where
@var{NN} is the interrupt number in
hexadecimal.  Because the CPU doesn't give
us any other way to find out the interrupt number, this entry point
pushes the interrupt number on the stack.  Then it jumps to
@func{intr_entry}, which pushes all the registers that the processor
didn't already save for us, and then calls @func{intr_handler}, which
brings us back into C in @file{threads/interrupt.c}.

The main job of @func{intr_handler} is to call any function that has
been registered for handling the particular interrupt.  (If no
function is registered, it dumps some information to the console and
panics.)  It does some extra processing for external
interrupts that we'll discuss later.

When @func{intr_handler} returns, the assembly code in
@file{threads/intr-stubs.S} restores all the CPU registers saved
earlier and directs the CPU to return from the interrupt.

A few types and functions apply to both internal and external
interrupts.

@deftp {Type} {void intr_handler_func (struct intr_frame *@var{frame})}
This is how an interrupt handler function must be declared.  Its @var{frame}
argument (see below) allows it to determine the cause of the interrupt
and the state of the thread that was interrupted.
@end deftp

@deftp {Type} {struct intr_frame}
The stack frame of an interrupt handler, as saved by CPU, the interrupt
stubs, and @func{intr_entry}. Its most interesting members are described
below.
@end deftp

@deftypecv {Member} {@struct{intr_frame}} uint32_t edi
@deftypecvx {Member} {@struct{intr_frame}} uint32_t esi
@deftypecvx {Member} {@struct{intr_frame}} uint32_t ebp
@deftypecvx {Member} {@struct{intr_frame}} uint32_t esp_dummy
@deftypecvx {Member} {@struct{intr_frame}} uint32_t ebx
@deftypecvx {Member} {@struct{intr_frame}} uint32_t edx
@deftypecvx {Member} {@struct{intr_frame}} uint32_t ecx
@deftypecvx {Member} {@struct{intr_frame}} uint32_t eax
@deftypecvx {Member} {@struct{intr_frame}} uint16_t es
@deftypecvx {Member} {@struct{intr_frame}} uint16_t ds
Register values in the interrupted thread saved by @func{intr_entry}.
The @code{esp_dummy} value isn't actually used (refer to the
description of @code{PUSHA} in @bibref{IA32-v2b} for details).
@end deftypecv

@deftypecv {Member} {@struct{intr_frame}} uint32_t vec_no
The interrupt vector number, ranging from 0 to 255.
@end deftypecv

@deftypecv {Member} {@struct{intr_frame}} uint32_t error_code
The ``error code'' pushed on the stack by the CPU for some internal
interrupts.
@end deftypecv

@deftypecv {Member} {@struct{intr_frame}} void (*eip) (void)
The address of the next instruction to be executed by the interrupted
thread. 
@end deftypecv

@deftypecv {Member} {@struct{intr_frame}} {void *} esp
The interrupted thread's stack pointer.
@end deftypecv

@deftypefun {const char *} intr_name (uint8_t @var{vec})
Returns the name of the interrupt numbered @var{vec}, or
@code{"unknown"} if the interrupt has no registered name.
@end deftypefun

@node Internal Interrupt Handling
@subsubsection Internal Interrupt Handling

When an internal interrupt occurs, it is because the running kernel
thread (or, starting from project 2, the running user process) has
caused it.  Thus, because it is related to a thread (or process), an
internal interrupt is said to happen in a ``process context.''

In an internal interrupt, it can make sense to examine the
@struct{intr_frame} passed to the interrupt handler, or even to modify
it.  When the interrupt returns, modified members
in @struct{intr_frame} become changes to the thread's registers.
We'll use this in project 2 to return values from system call
handlers.

There are no special restrictions on what an internal interrupt
handler can or can't do.  Generally they should run with interrupts
enabled, just like other code, and so they can be preempted by other
kernel threads.  Thus, they do need to synchronize with other threads
on shared data and other resources (@pxref{Synchronization}).

@deftypefun void intr_register_int (uint8_t @var{vec}, int @var{dpl}, enum intr_level @var{level}, intr_handler_func *@var{handler}, const char *@var{name})
Registers @var{handler} to be called when internal interrupt numbered
@var{vec} is triggered.  Names the interrupt @var{name} for debugging
purposes.

If @var{level} is @code{INTR_OFF} then handling of further interrupts
will be disabled while the interrupt is being processed.  Interrupts
should normally be turned on during the handling of an internal
interrupt.

@var{dpl} determines how the interrupt can be
invoked.  If @var{dpl} is 0, then the interrupt can be invoked only by
kernel threads.  Otherwise @var{dpl} should be 3, which allows user
processes to invoke the interrupt as well (this is useful only
starting with project 2).
@end deftypefun

@node External Interrupt Handling
@subsubsection External Interrupt Handling

Whereas an internal interrupt runs in the context of the thread that
caused it, external interrupts do not have any predictable context.
They are asynchronous, so they can be invoked at any time that
interrupts have not been disabled.  We say that an external interrupt
runs in an ``interrupt context.''

In an external interrupt, the @struct{intr_frame} passed to the
handler is not very meaningful.  It describes the state of the thread
or process that was interrupted, but there is no way to predict which
one that is.  It is possible, although rarely useful, to examine it, but
modifying it is a recipe for disaster.

The activities of an external interrupt handler are severely
restricted.  First, only one external interrupt may be processed at a
time, that is, nested external interrupt handling is not supported.
This means that external interrupts must be processed with interrupts
disabled (@pxref{Disabling Interrupts}) and that interrupts may not be
enabled at any point during their execution.

Second, an interrupt handler must not call any function that can
sleep, which rules out @func{thread_yield}, @func{lock_acquire}, and
many others.  This is because external interrupts use space on the
stack of the kernel thread that was running at the time the interrupt
occurred.  If the interrupt handler tried to sleep and that thread
resumed, then the two uses of the single stack would interfere, which
cannot be allowed.

Because an external interrupt runs with interrupts disabled, it
effectively monopolizes the machine and delays all other activities.
Therefore, external interrupt handlers should complete as quickly as
they can.  Any activities that require much CPU time should instead
run in a kernel thread, possibly a thread whose activity is triggered
by the interrupt using some synchronization primitive.

External interrupts are also special because they are controlled by a
pair of devices outside the CPU called @dfn{programmable interrupt
controllers}, @dfn{PICs} for short.  When @func{intr_init} sets up the
CPU's IDT, it also initializes the PICs for interrupt handling.  The
PICs also must be ``acknowledged'' at the end of processing for each
external interrupt.  @func{intr_handler} takes care of that by calling
@func{pic_end_of_interrupt}, which sends the proper signals to the
right PIC.

The following additional functions are related to external
interrupts.

@deftypefun void intr_register_ext (uint8_t @var{vec}, intr_handler_func *@var{handler}, const char *@var{name})
Registers @var{handler} to be called when external interrupt numbered
@var{vec} is triggered.  Names the interrupt @var{name} for debugging
purposes.  The handler will run with interrupts disabled.
@end deftypefun

@deftypefun bool intr_context (void)
Returns true if we are running in an interrupt context, otherwise
false.  Mainly used at the beginning of functions that might sleep
or that otherwise should not be called from interrupt context, in this
form:
@example
ASSERT (!intr_context ());
@end example
@end deftypefun

@deftypefun void intr_yield_on_return (void)
When called in an interrupt context, causes @func{thread_yield} to be
called just before the interrupt returns.  This is used, for example,
in the timer interrupt handler to cause a new thread to be scheduled
when a thread's time slice expires.
@end deftypefun

@node Memory Allocation
@subsection Memory Allocation

Pintos contains two memory allocators, one that allocates memory in
units of a page, and one that can allocate blocks of any size.

@menu
* Page Allocator::              
* Block Allocator::             
@end menu

@node Page Allocator
@subsubsection Page Allocator

The page allocator declared in @file{threads/palloc.h} allocates
memory in units of a page.  It is most often used to allocate memory
one page at a time, but it can also allocate multiple contiguous pages
at once.

The page allocator divides the memory it allocates into two pools,
called the kernel and user pools.  By default, each pool gets half of
system memory, but this can be changed with a kernel command line
option (@pxref{Why PAL_USER?}).  An allocation request draws from one
pool or the other.  If one pool becomes empty, the other may still
have free pages.  The user pool should be used for allocating memory
for user processes and the kernel pool for all other allocations.
This will only become important starting with project 3.  Until then,
all allocations should be made from the kernel pool.

Each pool's usage is tracked with a bitmap, one bit per page in
the pool.  A request to allocate @var{n} pages scans the bitmap
for @var{n} consecutive bits set to
false, indicating that those pages are free, and then sets those bits
to true to mark them as used.  This is a ``first fit'' allocation
strategy.

The page allocator is subject to fragmentation.  That is, it may not
be possible to allocate @var{n} contiguous pages even though @var{n}
or more pages are free, because the free pages are separated by used
pages.  In fact, in pathological cases it may be impossible to
allocate 2 contiguous pages even though @var{n} / 2 pages are free!
Single-page requests can't fail due to fragmentation, so
it is best to limit, as much as possible, the need for multiple
contiguous pages.

Pages may not be allocated from interrupt context, but they may be
freed.

When a page is freed, all of its bytes are cleared to @t{0xcc}, as
a debugging aid (@pxref{Debugging Tips}).

Page allocator types and functions are described below.

@deftp {Type} {enum palloc_flags}
A set of flags that describe how to allocate pages.  These flags may
be combined in any combination.
@end deftp

@defvr {Page Allocator Flag} @code{PAL_ASSERT}
If the pages cannot be allocated, panic the kernel.  This is only
appropriate during kernel initialization.  User processes
should never be permitted to panic the kernel.
@end defvr

@defvr {Page Allocator Flag} @code{PAL_ZERO}
Zero all the bytes in the allocated pages before returning them.  If not
set, the contents of newly allocated pages are unpredictable.
@end defvr

@defvr {Page Allocator Flag} @code{PAL_USER}
Obtain the pages from the user pool.  If not set, pages are allocated
from the kernel pool.
@end defvr

@deftypefun {void *} palloc_get_page (enum palloc_flags @var{flags})
Obtains and returns a single page, allocating it in the manner specified by
@var{flags}.  Returns a null pointer if no pages are
free.
@end deftypefun

@deftypefun {void *} palloc_get_multiple (enum palloc_flags @var{flags}, size_t @var{page_cnt})
Obtains @var{page_cnt} contiguous free pages, allocating them in the
manner specified by @var{flags}, and returns them.  Returns a null
pointer if no pages are free.
@end deftypefun

@deftypefun void palloc_free_page (void *@var{page})
Frees @var{page}, which must have been obtained using
@func{palloc_get_page} or @func{palloc_get_multiple}.
@end deftypefun

@deftypefun void palloc_free_multiple (void *@var{pages}, size_t @var{page_cnt})
Frees the @var{page_cnt} contiguous pages starting at @var{pages}.
All of the pages must have been obtained using @func{palloc_get_page}
or @func{palloc_get_multiple}.
@end deftypefun

@node Block Allocator
@subsubsection Block Allocator

The block allocator, declared in @file{threads/malloc.h}, can allocate
blocks of any size.  It is layered on top of the page allocator
described in the previous section.  Blocks returned by the block
allocator are obtained from the kernel pool.

The block allocator uses two different strategies for allocating
memory.  The first of these applies to ``small'' blocks, those 1 kB or
smaller (one
fourth of the the page size).  These allocations are rounded up to the
nearest power of 2, or 16 bytes, whichever is larger.  Then they are
grouped into a page used only for allocations of the smae
size.

The second strategy applies to allocating ``large'' blocks, those larger
than 1 kB.
These allocations (plus a small amount of overhead) are rounded up to
the nearest page in size, and then the block allocator requests that
number of contiguous pages from the page allocator.  

In either case, the difference between the allocation requested size
and the actual block size is wasted.  A real operating system would
carefully tune its allocator to minimize this waste, but this is
unimportant in an instructional system like Pintos.

As long as a page can be obtained from the page allocator, small
allocations always succeed.  Most small allocations will not require a
new page from the page allocator at all.  However, large allocations
always require calling into the page allocator, and any allocation
that needs more than one contiguous page can fail due to fragmentation,
as already discussed in the previous section.  Thus, you should
minimize the number of large allocations in your code, especially
those over approximately 4 kB each.

The interface to the block allocator is through the standard C library
functions @func{malloc}, @func{calloc}, and @func{free}.

When a block is freed, all of its bytes are cleared to @t{0xcc}, as
a debugging aid (@pxref{Debugging Tips}).

The block allocator may not be called from interrupt context.

@node User Programs Tour
@section User Programs Project

The tour for this project has not yet been written.

@node Virtual Memory Tour
@section Virtual Memory Project

The tour for this project is under construction.

@menu
* Hash Table::                  
@end menu

@node Hash Table
@subsection Hash Table

Most implementations of the virtual memory project use a hash table to
translate virtual page frames to physical page frames.  It is possible
to do this translation without adding a new data structure, by modifying
the code in @file{userprog/pagedir.c}.  However, if you do that you'll
need to carefully study and understand section 3.7 in @bibref{IA32-v3},
and in practice it is probably easier to add a new data structure.  You
may find other uses for hash tables as well.

Pintos provides a hash table data structure in @file{lib/kernel/hash.c}.
To use it you will need to manually include its header file,
@file{lib/kernel/hash.h}, with @code{#include <hash.h>}.  Intentionally,
no code provided with Pintos uses the hash table, which means that you
are free to use it as is, modify its implementation for your own
purposes, or ignore it, as you wish.

@menu
* Hash Data Types::             
* Basic Hash Functions::        
* Hash Search Functions::       
* Hash Iteration Functions::    
* Hash Table Example::          
* Hash Auxiliary Data::         
* Hash Synchronization::        
@end menu

@node Hash Data Types
@subsubsection Data Types

A hash table is represented by @struct{hash}.

@deftp {Type} {@struct{hash}}
Represents an entire hash table.  The actual members of @struct{hash}
are ``opaque.''  That is, code that uses a hash table should not access
@struct{hash} members directly, nor should it need to.  Instead, use
hash table functions and macros.
@end deftp

The hash table operates on elements of type @struct{hash_elem}.  

@deftp {Type} {@struct{hash_elem}}
Embed a @struct{hash_elem} member in the structure you want to include
in a hash table.  Like @struct{hash}, @struct{hash_elem} is opaque.
All functions for operating on hash table elements actually take and
return pointers to @struct{hash_elem}, not pointers to your hash table's
real element type.
@end deftp

You will often need to obtain a @struct{hash_elem}
given a real element of the hash table, and vice versa.  Given
a real element of the hash table, obtaining a pointer to its
@struct{hash_elem} is trivial: take the address of the
@struct{hash_elem} member.  Use the @code{hash_entry()} macro to go the
other direction.

@deftypefn {Macro} {@var{type} *} hash_entry (struct hash_elem *@var{elem}, @var{type}, @var{member})
Returns a pointer to the structure that @var{elem}, a pointer to a
@struct{hash_elem}, is embedded within.  You must provide @var{type},
the name of the structure that @var{elem} is inside, and @var{member},
the name of the member in @var{type} that @var{elem} points to.

For example, suppose @code{h} is a @code{struct hash_elem *} variable
that points to a @struct{thread} member (of type @struct{hash_elem})
named @code{h_elem}.  Then, @code{hash_entry (h, struct thread, h_elem)}
yields the address of the @struct{thread} that @code{h} points within.
@end deftypefn

Each hash table element must contain a key, that is, data that
identifies and distinguishes elements in the hash table.  Every element
in a hash table at a given time must have a unique key.  (Elements may
also contain non-key data that need not be unique.)  While an element is
in a hash table, its key data must not be changed.  For each hash table,
you must write two functions that act on keys: a hash function and a
comparison function.  These functions must match the following
prototypes:

@deftp {Type} {unsigned hash_hash_func (const struct hash_elem *@var{element}, void *@var{aux})}
Returns a hash of @var{element}'s data, as a value anywhere in the range
of @code{unsigned int}.  The hash of an element should be a
pseudo-random function of the element's key.  It must not depend on
non-key data in the element or on any non-constant data other than the
key.  Pintos provides the following functions as a suitable basis for
hash functions.

@deftypefun unsigned hash_bytes (const void *@var{buf}, size_t *@var{size})
Returns a hash of the @var{size} bytes starting at @var{buf}.  The
implementation is the general-purpose
@uref{http://en.wikipedia.org/wiki/Fowler_Noll_Vo_hash, Fowler-Noll-Vo
hash} for 32-bit words.
@end deftypefun

@deftypefun unsigned hash_string (const char *@var{s})
Returns a hash of null-terminated string @var{s}.
@end deftypefun

@deftypefun unsigned hash_int (int @var{i}) 
Returns a hash of integer @var{i}.
@end deftypefun

If your key is a single piece of data of an appropriate type, it is
sensible for your hash function to directly return the output of one of
these functions.  For multiple pieces of data, you may wish to combine
the output of more than one call to them using, e.g., the @samp{^}
operator.  Finally, you may entirely ignore these functions and write
your own hash function from scratch, but remember that your goal is to
build an operating system kernel, not to design a hash function.

@xref{Hash Auxiliary Data}, for an explanation of @var{aux}.
@end deftp

@deftp {Type} {bool hash_less_func (const struct hash_elem *@var{a}, const struct hash_elem *@var{b}, void *@var{aux})}
Compares the keys stored in elements @var{a} and @var{b}.  Returns
true if @var{a} is less than @var{b}, false if @var{a} is greater than
or equal to @var{b}.

If two elements compare equal, then they must hash to equal values.

@xref{Hash Auxiliary Data}, for an explanation of @var{aux}.
@end deftp

A few functions that act on hashes accept a pointer to a third kind of
function as an argument:

@deftp {Type} {void hash_action_func (struct hash_elem *@var{element}, void *@var{aux})}
Performs some kind of action, chosen by the caller, on @var{element}.

@xref{Hash Auxiliary Data}, for an explanation of @var{aux}.
@end deftp

@node Basic Hash Functions
@subsubsection Basic Functions

These functions create and destroy hash tables and obtain basic
information about their contents.

@deftypefun bool hash_init (struct hash *@var{hash}, hash_hash_func *@var{hash_func}, hash_less_func *@var{less_func}, void *@var{aux})
Initializes @var{hash} as a hash table using @var{hash_func} as hash
function, @var{less_func} as comparison function, and @var{aux} as
auxiliary data.
Returns true if successful, false on failure.  @func{hash_init} calls
@func{malloc} and fails if memory cannot be allocated.

@xref{Hash Auxiliary Data}, for an explanation of @var{aux}, which is
most often a null pointer.
@end deftypefun

@deftypefun void hash_clear (struct hash *@var{hash}, hash_action_func *@var{action})
Removes all the elements from @var{hash}, which must have been
previously initialized with @func{hash_init}.

If @var{action} is non-null, then it is called once for each element in
the hash table, which gives the caller an opportunity to deallocate any
memory or other resources used by the element.  For example, if the hash
table elements are dynamically allocated using @func{malloc}, then
@var{action} could @func{free} the element.  This is safe because
@func{hash_clear} will not access the memory in a given hash element
after calling @var{action} on it.  However, @var{action} must not call
any function that may modify the hash table, such as @func{hash_insert}
or @func{hash_delete}.
@end deftypefun

@deftypefun void hash_destroy (struct hash *@var{hash}, hash_action_func *@var{action})
If @var{action} is non-null, calls it for each element in the hash, with
the same semantics as a call to @func{hash_clear}.  Then, frees the
memory held by @var{hash}.  Afterward, @var{hash} must not be passed to
any hash table function, absent an intervening call to @func{hash_init}.
@end deftypefun

@deftypefun size_t hash_size (struct hash *@var{hash})
Returns the number of elements currently stored in @var{hash}.
@end deftypefun

@deftypefun bool hash_empty (struct hash *@var{hash})
Returns true if @var{hash} currently contains no elements,
false if @var{hash} contains at least one element.
@end deftypefun

@node Hash Search Functions
@subsubsection Search Functions

Each of these functions searches a hash table for an element that
compares equal to one provided.  Based on the success of the search,
they perform some action, such as inserting a new element into the hash
table, or simply return the result of the search.

@deftypefun {struct hash_elem *} hash_insert (struct hash *@var{hash}, struct hash_elem *@var{element})
Searches @var{hash} for an element equal to @var{element}.  If none is
found, inserts @var{element} into @var{hash} and returns a null pointer.
If the table already contains an element equal to @var{element}, returns
the existing element without modifying @var{hash}.
@end deftypefun

@deftypefun {struct hash_elem *} hash_replace (struct hash *@var{hash}, struct hash_elem *@var{element})
Inserts @var{element} into @var{hash}.  Any element equal to
@var{element} already in @var{hash} is removed.  Returns the element
removed, or a null pointer if @var{hash} did not contain an element
equal to @var{element}.

The caller is responsible for deallocating any resources associated with
the element returned, as appropriate.  For example, if the hash table
elements are dynamically allocated using @func{malloc}, then the caller
must @func{free} the element after it is no longer needed.
@end deftypefun

The element passed to the following functions is only used for hashing
and comparison purposes.  It is never actually inserted into the hash
table.  Thus, only the key data in the element need be initialized, and
other data in the element will not be used.  It often makes sense to
declare an instance of the element type as a local variable, initialize
the key data, and then pass the address of its @struct{hash_elem} to
@func{hash_find} or @func{hash_delete}.  @xref{Hash Table Example}, for
an example.  (Large structures should not be
allocated as local variables.  @xref{struct thread}, for more
information.)

@deftypefun {struct hash_elem *} hash_find (struct hash *@var{hash}, struct hash_elem *@var{element})
Searches @var{hash} for an element equal to @var{element}.  Returns the
element found, if any, or a null pointer otherwise.
@end deftypefun

@deftypefun {struct hash_elem *} hash_delete (struct hash *@var{hash}, struct hash_elem *@var{element})
Searches @var{hash} for an element equal to @var{element}.  If one is
found, it is removed from @var{hash} and returned.  Otherwise, a null
pointer is returned and @var{hash} is unchanged.

The caller is responsible for deallocating any resources associated with
the element returned, as appropriate.  For example, if the hash table
elements are dynamically allocated using @func{malloc}, then the caller
must @func{free} the element after it is no longer needed.
@end deftypefun

@node Hash Iteration Functions
@subsubsection Iteration Functions

These functions allow iterating through the elements in a hash table.
Two interfaces are supplied.  The first requires writing and supplying a
@var{hash_action_func} to act on each element (@pxref{Hash Data Types}).

@deftypefun void hash_apply (struct hash *@var{hash}, hash_action_func *@var{action})
Calls @var{action} once for each element in @var{hash}, in arbitrary
order.  @var{action} must not call any function that may modify the hash
table, such as @func{hash_insert} or @func{hash_delete}.  @var{action}
must not modify key data in elements, although it may modify any other
data.
@end deftypefun

The second interface is based on an ``iterator'' data type.
Idiomatically, iterators are used as follows:

@example
struct hash_iterator i;

hash_first (&i, h);
while (hash_next (&i))
  @{
    struct foo *f = hash_entry (hash_cur (&i), struct foo, elem);
    @r{@dots{}do something with @i{f}@dots{}}
  @}
@end example

@deftp {Type} {@struct{hash_iterator}}
Represents a position within a hash table.  Calling any function that
may modify a hash table, such as @func{hash_insert} or
@func{hash_delete}, invalidates all iterators within that hash table.

Like @struct{hash} and @struct{hash_elem}, @struct{hash_elem} is opaque.
@end deftp

@deftypefun void hash_first (struct hash_iterator *@var{iterator}, struct hash *@var{hash})
Initializes @var{iterator} to just before the first element in
@var{hash}.
@end deftypefun

@deftypefun {struct hash_elem *} hash_next (struct hash_iterator *@var{iterator})
Advances @var{iterator} to the next element in @var{hash}, and returns
that element.  Returns a null pointer if no elements remain.  After
@func{hash_next} returns null for @var{iterator}, calling it again
yields undefined behavior.
@end deftypefun

@deftypefun {struct hash_elem *} hash_cur (struct hash_iterator *@var{iterator})
Returns the value most recently returned by @func{hash_next} for
@var{iterator}.  Yields undefined behavior after @func{hash_first} has
been called on @var{iterator} but before @func{hash_next} has been
called for the first time.
@end deftypefun

@node Hash Table Example
@subsubsection Hash Table Example

Suppose you have a structure, called @struct{page}, that you
want to put into a hash table.  First, define @struct{page} to include a
@struct{hash_elem} member:

@example
struct page
  @{
    struct hash_elem hash_elem; /* @r{Hash table element.} */
    void *addr;                 /* @r{Virtual address.} */
    /* @r{@dots{}other members@dots{}} */
  @};
@end example

We write a hash function and a comparison function using @var{addr} as
the key.  A pointer can be hashed based on its bytes, and the @samp{<}
operator works fine for comparing pointers:

@example
/* @r{Returns a hash value for page @var{p}.} */
unsigned
page_hash (const struct hash_elem *p_, void *aux UNUSED) 
@{
  const struct page *p = hash_entry (p_, struct page, hash_elem);
  return hash_bytes (&p->addr, sizeof p->addr);
@}

/* @r{Returns true if page @var{a} precedes page @var{b}.} */
bool
page_less (const struct hash_elem *a_, const struct hash_elem *b_,
           void *aux UNUSED) 
@{
  const struct page *a = hash_entry (a_, struct page, hash_elem);
  const struct page *b = hash_entry (b_, struct page, hash_elem);
  
  return a->addr < b->addr;
@}
@end example

@noindent
(The use of @code{UNUSED} in these functions' prototypes suppresses a
warning that @var{aux} is unused.  @xref{Function and Parameter
Attributes}, for information about @code{UNUSED}.  @xref{Hash Auxiliary
Data}, for an explanation of @var{aux}.)

Then, we can create a hash table like this:

@example
struct hash pages;

hash_init (&pages, page_hash, page_less, NULL);
@end example

Now we can manipulate the hash table we've created.  If @code{@var{p}}
is a pointer to a @struct{page}, we can insert it into the hash table
with:

@example
hash_insert (&pages, &p->hash_elem);
@end example

@noindent If there's a chance that @var{pages} might already contain a
page with the same @var{addr}, then we should check @func{hash_insert}'s
return value.

To search for an element in the hash table, use @func{hash_find}.  This
takes a little setup, because @func{hash_find} takes an element to
compare against.  Here's a function that will find and return a page
based on a virtual address, assuming that @var{pages} is defined at file
scope:

@example
/* @r{Returns the page containing the given virtual @var{address},
   or a null pointer if no such page exists.} */
struct page *
page_lookup (const void *address) 
@{
  struct page p;
  struct hash_elem *e;

  p.addr = address;
  e = hash_find (&pages, &p.hash_elem);
  return e != NULL ? hash_entry (e, struct page, hash_elem) : NULL;
@}
@end example

@noindent
@struct{page} is allocated as a local variable here on the assumption
that it is fairly small.  Large structures should not be allocated as
local variables.  @xref{struct thread}, for more information.

A similar function could delete a page by address using
@func{hash_delete}.

@node Hash Auxiliary Data
@subsubsection Auxiliary Data

In simple cases like the example above, there's no need for the
@var{aux} parameters.  In these cases, just pass a null pointer to
@func{hash_init} for @var{aux} and ignore the values passed to the hash
function and comparison functions.  (You'll get a compiler warning if
you don't use the @var{aux} parameter, but you can turn that off with
the @code{UNUSED} macro, as shown in the example, or you can just ignore
it.)

@var{aux} is useful when you have some property of the data in the
hash table that's both constant and needed for hashing or comparisons,
but which is not stored in the data items themselves.  For example, if
the items in a hash table contain fixed-length strings, but the items
themselves don't indicate what that fixed length is, you could pass
the length as an @var{aux} parameter.

@node Hash Synchronization
@subsubsection Synchronization

The hash table does not do any internal synchronization.  It is the
caller's responsibility to synchronize calls to hash table functions.
In general, any number of functions that examine but do not modify the
hash table, such as @func{hash_find} or @func{hash_next}, may execute
simultaneously.  However, these function cannot safely execute at the
same time as any function that may modify a given hash table, such as
@func{hash_insert} or @func{hash_delete}, nor may more than one function
that can modify a given hash table execute safely at once.

It is also the caller's responsibility to synchronize access to data in
hash table elements.  How to synchronize access to this data depends on
how it is designed and organized, as with any other data structure.

@node File Systems Tour
@section File Systems Project

The tour for this project has not yet been written.