Table of Contents
[Note: this document is now very old, and a lot of its contents are out of date, and misleading.]
Valgrind is a very nice platform for doing cache profiling
and other kinds of simulation, because it converts horrible x86
instructions into nice clean RISC-like UCode. For example, for
cache profiling we are interested in instructions that read and
write memory; in UCode there are only four instructions that do
this: LOAD
,
STORE
,
FPU_R
and
FPU_W
. By contrast, because of
the x86 addressing modes, almost every instruction can read or
write memory.
Most of the cache profiling machinery is in the file
vg_cachesim.c
.
These notes are a somewhat haphazard guide to how Valgrind's cache profiling works.
Valgrind gathers cache profiling about every instruction
executed, individually. Each instruction has a cost
centre associated with it. There are two kinds of cost
centre: one for instructions that don't reference memory
(iCC
), and one for instructions
that do (idCC
):
typedef struct _CC { ULong a; ULong m1; ULong m2; } CC; typedef struct _iCC { /* word 1 */ UChar tag; UChar instr_size; /* words 2+ */ Addr instr_addr; CC I; } iCC; typedef struct _idCC { /* word 1 */ UChar tag; UChar instr_size; UChar data_size; /* words 2+ */ Addr instr_addr; CC I; CC D; } idCC;
Each CC
has three fields
a
,
m1
,
m2
for recording references,
level 1 misses and level 2 misses. Each of these is a 64-bit
ULong
-- the numbers can get
very large, ie. greater than 4.2 billion allowed by a 32-bit
unsigned int.
A iCC
has one
CC
for instruction cache
accesses. A idCC
has two, one
for instruction cache accesses, and one for data cache
accesses.
The iCC
and
dCC
structs also store
unchanging information about the instruction:
An instruction-type identification tag (explained below)
Instruction size
Data reference size
(idCC
only)
Instruction address
Note that data address is not one of the fields for
idCC
. This is because for many
memory-referencing instructions the data address can change each
time it's executed (eg. if it uses register-offset addressing).
We have to give this item to the cache simulation in a different
way (see Instrumentation section below). Some memory-referencing
instructions do always reference the same address, but we don't
try to treat them specialy in order to keep things simple.
Also note that there is only room for recording info about
one data cache access in an
idCC
. So what about
instructions that do a read then a write, such as:
inc %(esi)
In a write-allocate cache, as simulated by Valgrind, the write cannot miss, since it immediately follows the read which will drag the block into the cache if it's not already there. So the write access isn't really interesting, and Valgrind doesn't record it. This means that Valgrind doesn't measure memory references, but rather memory references that could miss in the cache. This behaviour is the same as that used by the AMD Athlon hardware counters. It also has the benefit of simplifying the implementation -- instructions that read and write memory can be treated like instructions that read memory.
Cost centres are stored in a way that makes them very cheap to lookup, which is important since one is looked up for every original x86 instruction executed.
Valgrind does JIT translations at the basic block level, and cost centres are also setup and stored at the basic block level. By doing things carefully, we store all the cost centres for a basic block in a contiguous array, and lookup comes almost for free.
Consider this part of a basic block (for exposition purposes, pretend it's an entire basic block):
movl $0x0,%eax movl $0x99, -4(%ebp)
The translation to UCode looks like this:
MOVL $0x0, t20 PUTL t20, %EAX INCEIPo $5 LEA1L -4(t4), t14 MOVL $0x99, t18 STL t18, (t14) INCEIPo $7
The first step is to allocate the cost centres. This
requires a preliminary pass to count how many x86 instructions
were in the basic block, and their types (and thus sizes). UCode
translations for single x86 instructions are delimited by the
INCEIPo
instruction, the
argument of which gives the byte size of the instruction (note
that lazy INCEIP updating is turned off to allow this).
We can tell if an x86 instruction references memory by
looking for LDL
and
STL
UCode instructions, and thus
what kind of cost centre is required. From this we can determine
how many cost centres we need for the basic block, and their
sizes. We can then allocate them in a single array.
Consider the example code above. After the preliminary
pass, we know we need two cost centres, one
iCC
and one
dCC
. So we allocate an array to
store these which looks like this:
|(uninit)| tag (1 byte) |(uninit)| instr_size (1 bytes) |(uninit)| (padding) (2 bytes) |(uninit)| instr_addr (4 bytes) |(uninit)| I.a (8 bytes) |(uninit)| I.m1 (8 bytes) |(uninit)| I.m2 (8 bytes) |(uninit)| tag (1 byte) |(uninit)| instr_size (1 byte) |(uninit)| data_size (1 byte) |(uninit)| (padding) (1 byte) |(uninit)| instr_addr (4 bytes) |(uninit)| I.a (8 bytes) |(uninit)| I.m1 (8 bytes) |(uninit)| I.m2 (8 bytes) |(uninit)| D.a (8 bytes) |(uninit)| D.m1 (8 bytes) |(uninit)| D.m2 (8 bytes)
(We can see now why we need tags to distinguish between the two types of cost centres.)
We also record the size of the array. We look up the debug info of the first instruction in the basic block, and then stick the array into a table indexed by filename and function name. This makes it easy to dump the information quickly to file at the end.
The instrumentation pass has two main jobs:
Fill in the gaps in the allocated cost centres.
Add UCode to call the cache simulator for each instruction.
The instrumentation pass steps through the UCode and the cost centres in tandem. As each original x86 instruction's UCode is processed, the appropriate gaps in the instructions cost centre are filled in, for example:
|INSTR_CC| tag (1 byte) |5 | instr_size (1 bytes) |(uninit)| (padding) (2 bytes) |i_addr1 | instr_addr (4 bytes) |0 | I.a (8 bytes) |0 | I.m1 (8 bytes) |0 | I.m2 (8 bytes) |WRITE_CC| tag (1 byte) |7 | instr_size (1 byte) |4 | data_size (1 byte) |(uninit)| (padding) (1 byte) |i_addr2 | instr_addr (4 bytes) |0 | I.a (8 bytes) |0 | I.m1 (8 bytes) |0 | I.m2 (8 bytes) |0 | D.a (8 bytes) |0 | D.m1 (8 bytes) |0 | D.m2 (8 bytes)
(Note that this step is not performed if a basic block is re-translated; see Handling basic block retranslations for more information.)
GCC inserts padding before the
instr_size
field so that it is
word aligned.
The instrumentation added to call the cache simulation function looks like this (instrumentation is indented to distinguish it from the original UCode):
MOVL $0x0, t20 PUTL t20, %EAX PUSHL %eax PUSHL %ecx PUSHL %edx MOVL $0x4091F8A4, t46 # address of 1st CC PUSHL t46 CALLMo $0x12 # second cachesim function CLEARo $0x4 POPL %edx POPL %ecx POPL %eax INCEIPo $5 LEA1L -4(t4), t14 MOVL $0x99, t18 MOVL t14, t42 STL t18, (t14) PUSHL %eax PUSHL %ecx PUSHL %edx PUSHL t42 MOVL $0x4091F8C4, t44 # address of 2nd CC PUSHL t44 CALLMo $0x13 # second cachesim function CLEARo $0x8 POPL %edx POPL %ecx POPL %eax INCEIPo $7
Consider the first instruction's UCode. Each call is
surrounded by three PUSHL
and
POPL
instructions to save and
restore the caller-save registers. Then the address of the
instruction's cost centre is pushed onto the stack, to be the
first argument to the cache simulation function. The address is
known at this point because we are doing a simultaneous pass
through the cost centre array. This means the cost centre lookup
for each instruction is almost free (just the cost of pushing an
argument for a function call). Then the call to the cache
simulation function for non-memory-reference instructions is made
(note that the CALLMo
UInstruction takes an offset into a table of predefined
functions; it is not an absolute address), and the single
argument is CLEAR
ed from the
stack.
The second instruction's UCode is similar. The only
difference is that, as mentioned before, we have to pass the
address of the data item referenced to the cache simulation
function too. This explains the MOVL t14,
t42
and PUSHL
t42
UInstructions. (Note that the seemingly
redundant MOV
ing will probably
be optimised away during register allocation.)
Note that instead of storing unchanging information about each instruction (instruction size, data size, etc) in its cost centre, we could have passed in these arguments to the simulation function. But this would slow the calls down (two or three extra arguments pushed onto the stack). Also it would bloat the UCode instrumentation by amounts similar to the space required for them in the cost centre; bloated UCode would also fill the translation cache more quickly, requiring more translations for large programs and slowing them down more.
The above description ignores one complication. Valgrind has a limited size cache for basic block translations; if it fills up, old translations are discarded. If a discarded basic block is executed again, it must be re-translated.
However, we can't use this approach for profiling -- we can't throw away cost centres for instructions in the middle of execution! So when a basic block is translated, we first look for its cost centre array in the hash table. If there is no cost centre array, it must be the first translation, so we proceed as described above. But if there is a cost centre array already, it must be a retranslation. In this case, we skip the cost centre allocation and initialisation steps, but still do the UCode instrumentation step.
The cache simulation is fairly straightforward. It just tracks which memory blocks are in the cache at the moment (it doesn't track the contents, since that is irrelevant).
The interface to the simulation is quite clean. The
functions called from the UCode contain calls to the simulation
functions in the files
vg_cachesim_{I1,D1,L2}.c
; these calls are
inlined so that only one function call is done per simulated x86
instruction. The file vg_cachesim.c
simply
#include
s the three files
containing the simulation, which makes plugging in new cache
simulations is very easy -- you just replace the three files and
recompile.
Output is fairly straightforward, basically printing the cost centre for every instruction, grouped by files and functions. Total counts (eg. total cache accesses, total L1 misses) are calculated when traversing this structure rather than during execution, to save time; the cache simulation functions are called so often that even one or two extra adds can make a sizeable difference.
Input file has the following format:
file ::= desc_line* cmd_line events_line data_line+ summary_line desc_line ::= "desc:" ws? non_nl_string cmd_line ::= "cmd:" ws? cmd events_line ::= "events:" ws? (event ws)+ data_line ::= file_line | fn_line | count_line file_line ::= ("fl=" | "fi=" | "fe=") filename fn_line ::= "fn=" fn_name count_line ::= line_num ws? (count ws)+ summary_line ::= "summary:" ws? (count ws)+ count ::= num | "."
Where:
non_nl_string
is any
string not containing a newline.
cmd
is a command line
invocation.
filename
and
fn_name
can be anything.
num
and
line_num
are decimal
numbers.
ws
is whitespace.
nl
is a newline.
The contents of the "desc:" lines is printed out at the top of the summary. This is a generic way of providing simulation specific information, eg. for giving the cache configuration for cache simulation.
Counts can be "." to represent "N/A", eg. the number of write misses for an instruction that doesn't write to memory.
The number of counts in each
line
and the
summary_line
should not exceed
the number of events in the
event_line
. If the number in
each line
is less, cg_annotate
treats those missing as though they were a "." entry.
A file_line
changes the
current file name. A fn_line
changes the current function name. A
count_line
contains counts that
pertain to the current filename/fn_name. A "fn="
file_line
and a
fn_line
must appear before any
count_line
s to give the context
of the first count_line
s.
Each file_line
should be
immediately followed by a
fn_line
. "fi="
file_lines
are used to switch
filenames for inlined functions; "fe="
file_lines
are similar, but are
put at the end of a basic block in which the file name hasn't
been switched back to the original file name. (fi and fe lines
behave the same, they are only distinguished to help
debugging.)
Quite a lot of work has gone into making the profiling as fast as possible. This is a summary of the important features:
The basic block-level cost centre storage allows almost free cost centre lookup.
Only one function call is made per instruction simulated; even this accounts for a sizeable percentage of execution time, but it seems unavoidable if we want flexibility in the cache simulator.
Unchanging information about an instruction is stored in its cost centre, avoiding unnecessary argument pushing, and minimising UCode instrumentation bloat.
Summary counts are calculated at the end, rather than during execution.
The cachegrind.out
output files can contain huge amounts of information; file
format was carefully chosen to minimise file sizes.
Annotation is done by cg_annotate. It is a fairly straightforward Perl script that slurps up all the cost centres, and then runs through all the chosen source files, printing out cost centres with them. It too has been carefully optimised.
It would be relatively straightforward to do other simulations and obtain line-by-line information about interesting events. A good example would be branch prediction -- all branches could be instrumented to interact with a branch prediction simulator, using very similar techniques to those described above.
In particular, cg_annotate would not need to change -- the
file format is such that it is not specific to the cache
simulation, but could be used for any kind of line-by-line
information. The only part of cg_annotate that is specific to
the cache simulation is the name of the input file
(cachegrind.out
), although it
would be very simple to add an option to control this.