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Table of Contents [Note: this document is now very old, and a lot of its contents are out of date, and misleading.]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: Most of the cache profiling machinery is in the file
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
( 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 A The
Note that data address is not one of the fields for
Also note that there is only room for recording info about
one data cache access in an
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
We can tell if an x86 instruction references memory by
looking for Consider the example code above. After the preliminary
pass, we know we need two cost centres, one
|(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:
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
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 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 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
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:
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
A Each Quite a lot of work has gone into making the profiling as fast as possible. This is a summary of the important features:
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
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