Commit 1c714d7b authored by Curd Becker's avatar Curd Becker
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removing the documentation. it doesn't fully correspond to the class project anyway

parent e9970dfa
*.aux
*.cp
*.dvi
*.fn
*.info*
*.ky
*.log
*.pg
*.toc
*.tp
*.vr
/pintos.fns
/pintos.tps
/pintos.vrs
mlfqs1.pdf
mlfqs1.png
mlfqs2.pdf
mlfqs2.png
pintos.html
pintos.pdf
pintos.ps
pintos.text
pintos_*.html
projects.html
sample.tmpl.texi
@node 4.4BSD Scheduler
@appendix 4.4@acronym{BSD} Scheduler
@iftex
@macro tm{TEX}
@math{\TEX\}
@end macro
@macro nm{TXT}
@end macro
@macro am{TEX, TXT}
@math{\TEX\}
@end macro
@end iftex
@ifnottex
@macro tm{TEX}
@end macro
@macro nm{TXT}
@w{\TXT\}
@end macro
@macro am{TEX, TXT}
@w{\TXT\}
@end macro
@end ifnottex
@ifhtml
@macro math{TXT}
\TXT\
@end macro
@end ifhtml
@macro m{MATH}
@am{\MATH\, \MATH\}
@end macro
The goal of a general-purpose scheduler is to balance threads' different
scheduling needs. Threads that perform a lot of I/O require a fast
response time to keep input and output devices busy, but need little CPU
time. On the other hand, compute-bound threads need to receive a lot of
CPU time to finish their work, but have no requirement for fast response
time. Other threads lie somewhere in between, with periods of I/O
punctuated by periods of computation, and thus have requirements that
vary over time. A well-designed scheduler can often accommodate threads
with all these requirements simultaneously.
For project 1, you must implement the scheduler described in this
appendix. Our scheduler resembles the one described in @bibref{McKusick},
which is one example of a @dfn{multilevel feedback queue} scheduler.
This type of scheduler maintains several queues of ready-to-run threads,
where each queue holds threads with a different priority. At any given
time, the scheduler chooses a thread from the highest-priority non-empty
queue. If the highest-priority queue contains multiple threads, then
they run in ``round robin'' order.
Multiple facets of the scheduler require data to be updated after a
certain number of timer ticks. In every case, these updates should
occur before any ordinary kernel thread has a chance to run, so that
there is no chance that a kernel thread could see a newly increased
@func{timer_ticks} value but old scheduler data values.
The 4.4@acronym{BSD} scheduler does not include priority donation.
@menu
* Thread Niceness::
* Calculating Priority::
* Calculating recent_cpu::
* Calculating load_avg::
* 4.4BSD Scheduler Summary::
* Fixed-Point Real Arithmetic::
@end menu
@node Thread Niceness
@section Niceness
Thread priority is dynamically determined by the scheduler using a
formula given below. However, each thread also has an integer
@dfn{nice} value that determines how ``nice'' the thread should be to
other threads. A @var{nice} of zero does not affect thread priority. A
positive @var{nice}, to the maximum of 20, decreases the priority of a
thread and causes it to give up some CPU time it would otherwise receive.
On the other hand, a negative @var{nice}, to the minimum of -20, tends
to take away CPU time from other threads.
The initial thread starts with a @var{nice} value of zero. Other
threads start with a @var{nice} value inherited from their parent
thread. You must implement the functions described below, which are for
use by test programs. We have provided skeleton definitions for them in
@file{threads/thread.c}.
@deftypefun int thread_get_nice (void)
Returns the current thread's @var{nice} value.
@end deftypefun
@deftypefun void thread_set_nice (int @var{new_nice})
Sets the current thread's @var{nice} value to @var{new_nice} and
recalculates the thread's priority based on the new value
(@pxref{Calculating Priority}). If the running thread no longer has the
highest priority, yields.
@end deftypefun
@node Calculating Priority
@section Calculating Priority
Our scheduler has 64 priorities and thus 64 ready queues, numbered 0
(@code{PRI_MIN}) through 63 (@code{PRI_MAX}). Lower numbers correspond
to lower priorities, so that priority 0 is the lowest priority
and priority 63 is the highest. Thread priority is calculated initially
at thread initialization. It is also recalculated once every fourth
clock tick, for every thread. In either case, it is determined by
the formula
@center @t{@var{priority} = @code{PRI_MAX} - (@var{recent_cpu} / 4) - (@var{nice} * 2)},
@noindent where @var{recent_cpu} is an estimate of the CPU time the
thread has used recently (see below) and @var{nice} is the thread's
@var{nice} value. The result should be rounded down to the nearest
integer (truncated).
The coefficients @math{1/4} and 2 on @var{recent_cpu}
and @var{nice}, respectively, have been found to work well in practice
but lack deeper meaning. The calculated @var{priority} is always
adjusted to lie in the valid range @code{PRI_MIN} to @code{PRI_MAX}.
This formula gives a thread that has received CPU
time recently lower priority for being reassigned the CPU the next
time the scheduler runs. This is key to preventing starvation: a
thread that has not received any CPU time recently will have a
@var{recent_cpu} of 0, which barring a high @var{nice} value should
ensure that it receives CPU time soon.
@node Calculating recent_cpu
@section Calculating @var{recent_cpu}
We wish @var{recent_cpu} to measure how much CPU time each process has
received ``recently.'' Furthermore, as a refinement, more recent CPU
time should be weighted more heavily than less recent CPU time. One
approach would use an array of @var{n} elements to
track the CPU time received in each of the last @var{n} seconds.
However, this approach requires O(@var{n}) space per thread and
O(@var{n}) time per calculation of a new weighted average.
Instead, we use a @dfn{exponentially weighted moving average}, which
takes this general form:
@center @tm{x(0) = f(0),}@nm{x(0) = f(0),}
@center @tm{x(t) = ax(t-1) + (1-a)f(t),}@nm{x(t) = a*x(t-1) + f(t),}
@center @tm{a = k/(k+1),}@nm{a = k/(k+1),}
@noindent where @math{x(t)} is the moving average at integer time @am{t
\ge 0, t >= 0}, @math{f(t)} is the function being averaged, and @math{k
> 0} controls the rate of decay. We can iterate the formula over a few
steps as follows:
@center @math{x(1) = f(1)},
@center @am{x(2) = af(1) + f(2), x(2) = a*f(1) + f(2)},
@center @am{\vdots, ...}
@center @am{x(5) = a^4f(1) + a^3f(2) + a^2f(3) + af(4) + f(5), x(5) = a**4*f(1) + a**3*f(2) + a**2*f(3) + a*f(4) + f(5)}.
@noindent The value of @math{f(t)} has a weight of 1 at time @math{t}, a
weight of @math{a} at time @math{t+1}, @am{a^2, a**2} at time
@math{t+2}, and so on. We can also relate @math{x(t)} to @math{k}:
@math{f(t)} has a weight of approximately @math{1/e} at time @math{t+k},
approximately @am{1/e^2, 1/e**2} at time @am{t+2k, t+2*k}, and so on.
From the opposite direction, @math{f(t)} decays to weight @math{w} at
time @am{t + \log_aw, t + ln(w)/ln(a)}.
The initial value of @var{recent_cpu} is 0 in the first thread
created, or the parent's value in other new threads. Each time a timer
interrupt occurs, @var{recent_cpu} is incremented by 1 for the running
thread only, unless the idle thread is running. In addition, once per
second the value of @var{recent_cpu}
is recalculated for every thread (whether running, ready, or blocked),
using this formula:
@center @t{@var{recent_cpu} = (2*@var{load_avg})/(2*@var{load_avg} + 1) * @var{recent_cpu} + @var{nice}},
@noindent where @var{load_avg} is a moving average of the number of
threads ready to run (see below). If @var{load_avg} is 1, indicating
that a single thread, on average, is competing for the CPU, then the
current value of @var{recent_cpu} decays to a weight of .1 in
@am{\log_{2/3}.1 \approx 6, ln(.1)/ln(2/3) = approx. 6} seconds; if
@var{load_avg} is 2, then decay to a weight of .1 takes @am{\log_{3/4}.1
\approx 8, ln(.1)/ln(3/4) = approx. 8} seconds. The effect is that
@var{recent_cpu} estimates the amount of CPU time the thread has
received ``recently,'' with the rate of decay inversely proportional to
the number of threads competing for the CPU.
Assumptions made by some of the tests require that these recalculations of
@var{recent_cpu} be made exactly when the system tick counter reaches a
multiple of a second, that is, when @code{timer_ticks () % TIMER_FREQ ==
0}, and not at any other time.
The value of @var{recent_cpu} can be negative for a thread with a
negative @var{nice} value. Do not clamp negative @var{recent_cpu} to 0.
You may need to think about the order of calculations in this formula.
We recommend computing the coefficient of @var{recent_cpu} first, then
multiplying. Some students have reported that multiplying
@var{load_avg} by @var{recent_cpu} directly can cause overflow.
You must implement @func{thread_get_recent_cpu}, for which there is a
skeleton in @file{threads/thread.c}.
@deftypefun int thread_get_recent_cpu (void)
Returns 100 times the current thread's @var{recent_cpu} value, rounded
to the nearest integer.
@end deftypefun
@node Calculating load_avg
@section Calculating @var{load_avg}
Finally, @var{load_avg}, often known as the system load average,
estimates the average number of threads ready to run over the past
minute. Like @var{recent_cpu}, it is an exponentially weighted moving
average. Unlike @var{priority} and @var{recent_cpu}, @var{load_avg} is
system-wide, not thread-specific. At system boot, it is initialized to
0. Once per second thereafter, it is updated according to the following
formula:
@center @t{@var{load_avg} = (59/60)*@var{load_avg} + (1/60)*@var{ready_threads}},
@noindent where @var{ready_threads} is the number of threads that are
either running or ready to run at time of update (not including the idle
thread).
Because of assumptions made by some of the tests, @var{load_avg} must be
updated exactly when the system tick counter reaches a multiple of a
second, that is, when @code{timer_ticks () % TIMER_FREQ == 0}, and not
at any other time.
You must implement @func{thread_get_load_avg}, for which there is a
skeleton in @file{threads/thread.c}.
@deftypefun int thread_get_load_avg (void)
Returns 100 times the current system load average, rounded to the
nearest integer.
@end deftypefun
@node 4.4BSD Scheduler Summary
@section Summary
The following formulas summarize the calculations required to implement the
scheduler. They are not a complete description of scheduler requirements.
Every thread has a @var{nice} value between -20 and 20 directly under
its control. Each thread also has a priority, between 0
(@code{PRI_MIN}) through 63 (@code{PRI_MAX}), which is recalculated
using the following formula every fourth tick:
@center @t{@var{priority} = @code{PRI_MAX} - (@var{recent_cpu} / 4) - (@var{nice} * 2)}.
@var{recent_cpu} measures the amount of CPU time a thread has received
``recently.'' On each timer tick, the running thread's @var{recent_cpu}
is incremented by 1. Once per second, every thread's @var{recent_cpu}
is updated this way:
@center @t{@var{recent_cpu} = (2*@var{load_avg})/(2*@var{load_avg} + 1) * @var{recent_cpu} + @var{nice}}.
@var{load_avg} estimates the average number of threads ready to run over
the past minute. It is initialized to 0 at boot and recalculated once
per second as follows:
@center @t{@var{load_avg} = (59/60)*@var{load_avg} + (1/60)*@var{ready_threads}}.
@noindent where @var{ready_threads} is the number of threads that are
either running or ready to run at time of update (not including the idle
thread).
@node Fixed-Point Real Arithmetic
@section Fixed-Point Real Arithmetic
In the formulas above, @var{priority}, @var{nice}, and
@var{ready_threads} are integers, but @var{recent_cpu} and @var{load_avg}
are real numbers. Unfortunately, Pintos does not support floating-point
arithmetic in the kernel, because it would
complicate and slow the kernel. Real kernels often have the same
limitation, for the same reason. This means that calculations on real
quantities must be simulated using integers. This is not
difficult, but many students do not know how to do it. This
section explains the basics.
The fundamental idea is to treat the rightmost bits of an integer as
representing a fraction. For example, we can designate the lowest 14
bits of a signed 32-bit integer as fractional bits, so that an integer
@m{x} represents the real number
@iftex
@m{x/2^{14}}.
@end iftex
@ifnottex
@m{x/(2**14)}, where ** represents exponentiation.
@end ifnottex
This is called a 17.14 fixed-point number representation, because there
are 17 bits before the decimal point, 14 bits after it, and one sign
bit.@footnote{Because we are working in binary, the ``decimal'' point
might more correctly be called the ``binary'' point, but the meaning
should be clear.} A number in 17.14 format represents, at maximum, a
value of @am{(2^{31} - 1) / 2^{14} \approx, (2**31 - 1)/(2**14) =
approx.} 131,071.999.
Suppose that we are using a @m{p.q} fixed-point format, and let @am{f =
2^q, f = 2**q}. By the definition above, we can convert an integer or
real number into @m{p.q} format by multiplying with @m{f}. For example,
in 17.14 format the fraction 59/60 used in the calculation of
@var{load_avg}, above, is @am{(59/60)2^{14}, 59/60*(2**14)} = 16,110.
To convert a fixed-point value back to an
integer, divide by @m{f}. (The normal @samp{/} operator in C rounds
toward zero, that is, it rounds positive numbers down and negative
numbers up. To round to nearest, add @m{f / 2} to a positive number, or
subtract it from a negative number, before dividing.)
Many operations on fixed-point numbers are straightforward. Let
@code{x} and @code{y} be fixed-point numbers, and let @code{n} be an
integer. Then the sum of @code{x} and @code{y} is @code{x + y} and
their difference is @code{x - y}. The sum of @code{x} and @code{n} is
@code{x + n * f}; difference, @code{x - n * f}; product, @code{x * n};
quotient, @code{x / n}.
Multiplying two fixed-point values has two complications. First, the
decimal point of the result is @m{q} bits too far to the left. Consider
that @am{(59/60)(59/60), (59/60)*(59/60)} should be slightly less than
1, but @tm{16,111\times 16,111}@nm{16,111*16,111} = 259,564,321 is much
greater than @am{2^{14},2**14} = 16,384. Shifting @m{q} bits right, we
get @tm{259,564,321/2^{14}}@nm{259,564,321/(2**14)} = 15,842, or about 0.97,
the correct answer. Second, the multiplication can overflow even though
the answer is representable. For example, 64 in 17.14 format is
@am{64 \times 2^{14}, 64*(2**14)} = 1,048,576 and its square @am{64^2,
64**2} = 4,096 is well within the 17.14 range, but @tm{1,048,576^2 =
2^{40}}@nm{1,048,576**2 = 2**40}, greater than the maximum signed 32-bit
integer value @am{2^{31} - 1, 2**31 - 1}. An easy solution is to do the
multiplication as a 64-bit operation. The product of @code{x} and
@code{y} is then @code{((int64_t) x) * y / f}.
Dividing two fixed-point values has opposite issues. The
decimal point will be too far to the right, which we fix by shifting the
dividend @m{q} bits to the left before the division. The left shift
discards the top @m{q} bits of the dividend, which we can again fix by
doing the division in 64 bits. Thus, the quotient when @code{x} is
divided by @code{y} is @code{((int64_t) x) * f / y}.
This section has consistently used multiplication or division by @m{f},
instead of @m{q}-bit shifts, for two reasons. First, multiplication and
division do not have the surprising operator precedence of the C shift
operators. Second, multiplication and division are well-defined on
negative operands, but the C shift operators are not. Take care with
these issues in your implementation.
The following table summarizes how fixed-point arithmetic operations can
be implemented in C. In the table, @code{x} and @code{y} are
fixed-point numbers, @code{n} is an integer, fixed-point numbers are in
signed @m{p.q} format where @m{p + q = 31}, and @code{f} is @code{1 <<
q}:
@html
<CENTER>
@end html
@multitable @columnfractions .5 .5
@item Convert @code{n} to fixed point:
@tab @code{n * f}
@item Convert @code{x} to integer (rounding toward zero):
@tab @code{x / f}
@item Convert @code{x} to integer (rounding to nearest):
@tab @code{(x + f / 2) / f} if @code{x >= 0}, @*
@code{(x - f / 2) / f} if @code{x <= 0}.
@item Add @code{x} and @code{y}:
@tab @code{x + y}
@item Subtract @code{y} from @code{x}:
@tab @code{x - y}
@item Add @code{x} and @code{n}:
@tab @code{x + n * f}
@item Subtract @code{n} from @code{x}:
@tab @code{x - n * f}
@item Multiply @code{x} by @code{y}:
@tab @code{((int64_t) x) * y / f}
@item Multiply @code{x} by @code{n}:
@tab @code{x * n}
@item Divide @code{x} by @code{y}:
@tab @code{((int64_t) x) * f / y}
@item Divide @code{x} by @code{n}:
@tab @code{x / n}
@end multitable
@html
</CENTER>
@end html
TEXIS = pintos.texi intro.texi threads.texi userprog.texi vm.texi \
filesys.texi license.texi reference.texi 44bsd.texi standards.texi \
doc.texi sample.tmpl.texi devel.texi debug.texi installation.texi \
bibliography.texi localsettings.texi
all: pintos.html pintos.info pintos.dvi pintos.ps pintos.pdf
pintos.html: $(TEXIS)
texi2html -toc_file=$@ -split=chapter -nosec_nav -nomenu -init_file pintos-t2h.init $<
pintos.info: $(TEXIS)
makeinfo $<
pintos.text: $(TEXIS)
makeinfo --plaintext -o $@ $<
pintos.dvi: $(TEXIS)
texi2dvi $< -o $@
pintos.ps: pintos.dvi
dvips $< -o $@
pintos.pdf: $(TEXIS)
texi2pdf $< -o $@
%.texi: %
sed < $< > $@ 's/\([{}@]\)/\@\1/g;'
clean:
rm -f *.info* *.html
rm -f *.dvi *.pdf *.ps *.log *~
rm -rf WWW
rm -f sample.tmpl.texi
dist: pintos.html pintos.pdf
rm -rf WWW
mkdir WWW WWW/specs
cp *.html *.pdf *.css *.tmpl WWW
(cd ../specs && cp -r *.pdf freevga kbd sysv-abi-update.html ../doc/WWW/specs)
@node Bibliography
@unnumbered Bibliography
@macro bibdfn{cite}
@noindent @anchor{\cite\}
[\cite\].@w{ }
@end macro
@menu
* Hardware References::
* Software References::
* Operating System Design References::
@end menu
@node Hardware References
@section Hardware References
@bibdfn{IA32-v1}
IA-32 Intel Architecture Software Developer's Manual Volume 1: Basic
Architecture. Basic 80@var{x}86 architecture and programming
environment. Available via @uref{developer.intel.com}. Section numbers
in this document refer to revision 18.
@bibdfn{IA32-v2a}
IA-32 Intel Architecture Software Developer's Manual
Volume 2A: Instruction Set Reference A-M. 80@var{x}86 instructions
whose names begin with A through M. Available via
@uref{developer.intel.com}. Section numbers in this document refer to
revision 18.
@bibdfn{IA32-v2b}
IA-32 Intel Architecture Software Developer's Manual Volume 2B:
Instruction Set Reference N-Z. 80@var{x}86 instructions whose names
begin with N through Z. Available via @uref{developer.intel.com}.
Section numbers in this document refer to revision 18.
@bibdfn{IA32-v3a}
IA-32 Intel Architecture Software Developer's Manual Volume 3A: System
Programming Guide. Operating system support, including segmentation,
paging, tasks, interrupt and exception handling. Available via
@uref{developer.intel.com}. Section numbers in this document refer to
revision 18.
@bibdfn{FreeVGA}
@uref{specs/freevga/home.htm, , FreeVGA Project}. Documents the VGA video
hardware used in PCs.
@bibdfn{kbd}
@uref{specs/kbd/scancodes.html, , Keyboard scancodes}. Documents PC keyboard
interface.
@bibdfn{ATA-3}
@uref{specs/ata-3-std.pdf, , AT Attachment-3 Interface (ATA-3) Working
Draft}. Draft of an old version of the ATA aka IDE interface for the
disks used in most desktop PCs.
@bibdfn{PC16550D}
@uref{specs/pc16550d.pdf, , National Semiconductor PC16550D Universal
Asynchronous Receiver/Transmitter with FIFOs}. Datasheet for a chip
used for PC serial ports.
@bibdfn{8254}
@uref{specs/8254.pdf, , Intel 8254 Programmable Interval Timer}.
Datasheet for PC timer chip.
@bibdfn{8259A}
@uref{specs/8259A.pdf, , Intel 8259A Programmable Interrupt Controller
(8259A/8259A-2)}. Datasheet for PC interrupt controller chip.
@bibdfn{MC146818A}
@uref{specs/mc146818a.pdf, , Motorola MC146818A Real Time Clock Plus
Ram (RTC)}. Datasheet for PC real-time clock chip.
@node Software References
@section Software References
@bibdfn{ELF1}
@uref{specs/elf.pdf, , Tool Interface Standard (TIS) Executable and
Linking Format (ELF) Specification Version 1.2 Book I: Executable and
Linking Format}. The ubiquitous format for executables in modern Unix
systems.
@bibdfn{ELF2}
@uref{specs/elf.pdf, , Tool Interface Standard (TIS) Executable and
Linking Format (ELF) Specification Version 1.2 Book II: Processor
Specific (Intel Architecture)}. 80@var{x}86-specific parts of ELF.
@bibdfn{ELF3}
@uref{specs/elf.pdf, , Tool Interface Standard (TIS) Executable and
Linking Format (ELF) Specification Version 1.2 Book III: Operating
System Specific (UNIX System V Release 4)}. Unix-specific parts of
ELF.
@bibdfn{SysV-ABI}
@uref{specs/sysv-abi-4.1.pdf, , System V Application Binary Interface:
Edition 4.1}. Specifies how applications interface with the OS under
Unix.
@bibdfn{SysV-i386}
@uref{specs/sysv-abi-i386-4.pdf, , System V Application Binary
Interface: Intel386 Architecture Processor Supplement: Fourth
Edition}. 80@var{x}86-specific parts of the Unix interface.
@bibdfn{SysV-ABI-update}
@uref{specs/sysv-abi-update.html/contents.html, , System V Application Binary
Interface---DRAFT---24 April 2001}. A draft of a revised version of
@bibref{SysV-ABI} which was never completed.
@bibdfn{SUSv3}
The Open Group, @uref{http://www.unix.org/single_unix_specification/,
, Single UNIX Specification V3}, 2001.
@bibdfn{Partitions}
A.@: E.@: Brouwer, @uref{specs/partitions/partition_tables.html, ,
Minimal partition table specification}, 1999.
@bibdfn{IntrList}
R.@: Brown, @uref{http://www.ctyme.com/rbrown.htm, , Ralf Brown's
Interrupt List}, 2000.
@node Operating System Design References
@section Operating System Design References
@bibdfn{Christopher}
W.@: A.@: Christopher, S.@: J.@: Procter, T.@: E.@: Anderson,
@cite{The Nachos instructional operating system}.
Proceedings of the @acronym{USENIX} Winter 1993 Conference.
@uref{http://portal.acm.org/citation.cfm?id=1267307}.
@bibdfn{Dijkstra}
E.@: W.@: Dijkstra, @cite{The structure of the ``THE''
multiprogramming system}. Communications of the ACM 11(5):341--346,
1968. @uref{http://doi.acm.org/10.1145/363095.363143}.
@bibdfn{Hoare}
C.@: A.@: R.@: Hoare, @cite{Monitors: An Operating System
Structuring Concept}. Communications of the ACM, 17(10):549--557,
1974. @uref{http://www.acm.org/classics/feb96/}.
@bibdfn{Lampson}
B.@: W.@: Lampson, D.@: D.@: Redell, @cite{Experience with processes and
monitors in Mesa}. Communications of the ACM, 23(2):105--117, 1980.
@uref{http://doi.acm.org/10.1145/358818.358824}.
@bibdfn{McKusick}
M.@: K.@: McKusick, K.@: Bostic, M.@: J.@: Karels, J.@: S.@: Quarterman,
@cite{The Design and Implementation of the 4.4@acronym{BSD} Operating
System}. Addison-Wesley, 1996.
@bibdfn{Wilson}
P.@: R.@: Wilson, M.@: S.@: Johnstone, M.@: Neely, D.@: Boles,
@cite{Dynamic Storage Allocation: A Survey and Critical Review}.
International Workshop on Memory Management, 1995.
@uref{http://www.cs.utexas.edu/users/oops/papers.html#allocsrv}.
This diff is collapsed.
@node Development Tools
@appendix Development Tools
Here are some tools that you might find useful while developing code.
@menu
* Tags::
* cscope::
* CVS::
@ifset recommendvnc
* VNC::
@end ifset
@ifset recommendcygwin
* Cygwin::
@end ifset
@end menu
@node Tags
@section Tags
Tags are an index to the functions and global variables declared in a
program. Many editors, including Emacs and @command{vi}, can use
them. The @file{Makefile} in @file{pintos/src} produces Emacs-style
tags with the command @code{make TAGS} or @command{vi}-style tags with
@code{make tags}.
In Emacs, use @kbd{M-.} to follow a tag in the current window,
@kbd{C-x 4 .} in a new window, or @kbd{C-x 5 .} in a new frame. If
your cursor is on a symbol name for any of those commands, it becomes
the default target. If a tag name has multiple definitions, @kbd{M-0
M-.} jumps to the next one. To jump back to where you were before
you followed the last tag, use @kbd{M-*}.
@node cscope
@section cscope
The @command{cscope} program also provides an index to functions and
variables declared in a program. It has some features that tag
facilities lack. Most notably, it can find all the points in a