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look into garble functions showing up in "perf report" #475
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A simple suggestion would be to cache hashes of names so we don't waste cpu cycles rehashing the same inputs, but that may or may not help. The extra allocs might hurt perf, will have to test |
There are multiple things we could try there:
|
Note to self: it would also be useful to obtain a flamegraph representation of where garble is spending its time, to then look at what parts of a build could be parallelized. I imagine a good candidate would be obfuscating the Go files in transformCompile. |
Of the cryptographic hashes sha1 usually shows good speeds (although it is obsolete) But we can use non-cryptographic hashes, such as fnv (example implementation: https://github.com/segmentio/fasthash) 64 bits should be enough, right? |
I'd prefer to stick to decent cryptographic hashes; if the hashes are non-cryptographic, then presumably they are easier to bruteforce or break. One candidate could be blake2, which overall seems slightly better and faster than sha2. I reckon that switch might be worthwhile even if we implement some of the other improvements; they could all help. |
I would suggest blake3, as it's much faster than blake2 from what I've seen, but there's not an official/reviewed implementation in Go AFAIK |
I've found why binary expressions were taking up so much CPU time. I initially thought that the go/printer or go/ast packages were too inefficient, but it turns out they are okay. They are simply dealing with, let's say, a horribly long binary expression: With some napkin math, we can see ~1400 lines with 8 I'll be sending a patch upstream to remedy this somewhat. This is a regression from 1.17 via https://go-review.googlesource.com/c/go/+/339591, and I think this was an unintended effect. |
I slightly lean towards blake2, given that it's had more time to prove itself, and there's an official Go implementation that has likely been well reviewed and optimized. There are a few blake3 implementations out there, but it's hard to judge them. |
It's also a good idea to subscribe to golang/go#36632. My guess is that within a couple of years, one of those implementations will be promoted to x/crypto. |
If package P1 imports package P2, P1 needs to know which names from P2 weren't obfuscated. For instance, if P2 declares T2 and does "reflect.TypeOf(T2{...})", then P2 won't obfuscate the name T2, and neither should P1. This information should flow from P2 to P1, as P2 builds before P1. We do this via obfuscatedTypesPackage; P1 loads the type information of the obfuscated version of P2, and does a lookup for T2. If T2 exists, then it wasn't obfuscated. This mechanism has served us well, but it has downsides: 1) It wastes CPU; we load the type information for the entire package. 2) It's complex; for instance, we need KnownObjectFiles as an extra. 3) It makes our code harder to understand, as we load both the original and obfuscated type informaiton. Instead, we now have each package record what names were not obfuscated as part of its cachedOuput file. Much like KnownObjectFiles, the map records incrementally through the import graph, to avoid having to load cachedOutput files for indirect dependencies. We shouldn't need to worry about those maps getting large; we only skip obfuscating declared names in a few uncommon scenarios, such as the use of reflection or cgo's "//export". Since go/types is relatively allocation-heavy, and the export files contain a lot of data, we get a nice speed-up: name old time/op new time/op delta Build-16 11.5s ± 2% 11.1s ± 3% -3.77% (p=0.008 n=5+5) name old bin-B new bin-B delta Build-16 5.15M ± 0% 5.15M ± 0% ~ (all equal) name old cached-time/op new cached-time/op delta Build-16 375ms ± 3% 341ms ± 6% -8.96% (p=0.008 n=5+5) name old sys-time/op new sys-time/op delta Build-16 283ms ±17% 289ms ±13% ~ (p=0.841 n=5+5) name old user-time/op new user-time/op delta Build-16 687ms ± 6% 664ms ± 7% ~ (p=0.548 n=5+5) Fixes burrowers#456. Updates burrowers#475.
If package P1 imports package P2, P1 needs to know which names from P2 weren't obfuscated. For instance, if P2 declares T2 and does "reflect.TypeOf(T2{...})", then P2 won't obfuscate the name T2, and neither should P1. This information should flow from P2 to P1, as P2 builds before P1. We do this via obfuscatedTypesPackage; P1 loads the type information of the obfuscated version of P2, and does a lookup for T2. If T2 exists, then it wasn't obfuscated. This mechanism has served us well, but it has downsides: 1) It wastes CPU; we load the type information for the entire package. 2) It's complex; for instance, we need KnownObjectFiles as an extra. 3) It makes our code harder to understand, as we load both the original and obfuscated type informaiton. Instead, we now have each package record what names were not obfuscated as part of its cachedOuput file. Much like KnownObjectFiles, the map records incrementally through the import graph, to avoid having to load cachedOutput files for indirect dependencies. We shouldn't need to worry about those maps getting large; we only skip obfuscating declared names in a few uncommon scenarios, such as the use of reflection or cgo's "//export". Since go/types is relatively allocation-heavy, and the export files contain a lot of data, we get a nice speed-up: name old time/op new time/op delta Build-16 11.5s ± 2% 11.1s ± 3% -3.77% (p=0.008 n=5+5) name old bin-B new bin-B delta Build-16 5.15M ± 0% 5.15M ± 0% ~ (all equal) name old cached-time/op new cached-time/op delta Build-16 375ms ± 3% 341ms ± 6% -8.96% (p=0.008 n=5+5) name old sys-time/op new sys-time/op delta Build-16 283ms ±17% 289ms ±13% ~ (p=0.841 n=5+5) name old user-time/op new user-time/op delta Build-16 687ms ± 6% 664ms ± 7% ~ (p=0.548 n=5+5) Fixes burrowers#456. Updates burrowers#475.
If package P1 imports package P2, P1 needs to know which names from P2 weren't obfuscated. For instance, if P2 declares T2 and does "reflect.TypeOf(T2{...})", then P2 won't obfuscate the name T2, and neither should P1. This information should flow from P2 to P1, as P2 builds before P1. We do this via obfuscatedTypesPackage; P1 loads the type information of the obfuscated version of P2, and does a lookup for T2. If T2 exists, then it wasn't obfuscated. This mechanism has served us well, but it has downsides: 1) It wastes CPU; we load the type information for the entire package. 2) It's complex; for instance, we need KnownObjectFiles as an extra. 3) It makes our code harder to understand, as we load both the original and obfuscated type informaiton. Instead, we now have each package record what names were not obfuscated as part of its cachedOuput file. Much like KnownObjectFiles, the map records incrementally through the import graph, to avoid having to load cachedOutput files for indirect dependencies. We shouldn't need to worry about those maps getting large; we only skip obfuscating declared names in a few uncommon scenarios, such as the use of reflection or cgo's "//export". Since go/types is relatively allocation-heavy, and the export files contain a lot of data, we get a nice speed-up: name old time/op new time/op delta Build-16 11.5s ± 2% 11.1s ± 3% -3.77% (p=0.008 n=5+5) name old bin-B new bin-B delta Build-16 5.15M ± 0% 5.15M ± 0% ~ (all equal) name old cached-time/op new cached-time/op delta Build-16 375ms ± 3% 341ms ± 6% -8.96% (p=0.008 n=5+5) name old sys-time/op new sys-time/op delta Build-16 283ms ±17% 289ms ±13% ~ (p=0.841 n=5+5) name old user-time/op new user-time/op delta Build-16 687ms ± 6% 664ms ± 7% ~ (p=0.548 n=5+5) Fixes burrowers#456. Updates burrowers#475.
If package P1 imports package P2, P1 needs to know which names from P2 weren't obfuscated. For instance, if P2 declares T2 and does "reflect.TypeOf(T2{...})", then P2 won't obfuscate the name T2, and neither should P1. This information should flow from P2 to P1, as P2 builds before P1. We do this via obfuscatedTypesPackage; P1 loads the type information of the obfuscated version of P2, and does a lookup for T2. If T2 exists, then it wasn't obfuscated. This mechanism has served us well, but it has downsides: 1) It wastes CPU; we load the type information for the entire package. 2) It's complex; for instance, we need KnownObjectFiles as an extra. 3) It makes our code harder to understand, as we load both the original and obfuscated type informaiton. Instead, we now have each package record what names were not obfuscated as part of its cachedOuput file. Much like KnownObjectFiles, the map records incrementally through the import graph, to avoid having to load cachedOutput files for indirect dependencies. We shouldn't need to worry about those maps getting large; we only skip obfuscating declared names in a few uncommon scenarios, such as the use of reflection or cgo's "//export". Since go/types is relatively allocation-heavy, and the export files contain a lot of data, we get a nice speed-up: name old time/op new time/op delta Build-16 11.5s ± 2% 11.1s ± 3% -3.77% (p=0.008 n=5+5) name old bin-B new bin-B delta Build-16 5.15M ± 0% 5.15M ± 0% ~ (all equal) name old cached-time/op new cached-time/op delta Build-16 375ms ± 3% 341ms ± 6% -8.96% (p=0.008 n=5+5) name old sys-time/op new sys-time/op delta Build-16 283ms ±17% 289ms ±13% ~ (p=0.841 n=5+5) name old user-time/op new user-time/op delta Build-16 687ms ± 6% 664ms ± 7% ~ (p=0.548 n=5+5) Fixes burrowers#456. Updates burrowers#475.
If package P1 imports package P2, P1 needs to know which names from P2 weren't obfuscated. For instance, if P2 declares T2 and does "reflect.TypeOf(T2{...})", then P2 won't obfuscate the name T2, and neither should P1. This information should flow from P2 to P1, as P2 builds before P1. We do this via obfuscatedTypesPackage; P1 loads the type information of the obfuscated version of P2, and does a lookup for T2. If T2 exists, then it wasn't obfuscated. This mechanism has served us well, but it has downsides: 1) It wastes CPU; we load the type information for the entire package. 2) It's complex; for instance, we need KnownObjectFiles as an extra. 3) It makes our code harder to understand, as we load both the original and obfuscated type informaiton. Instead, we now have each package record what names were not obfuscated as part of its cachedOuput file. Much like KnownObjectFiles, the map records incrementally through the import graph, to avoid having to load cachedOutput files for indirect dependencies. We shouldn't need to worry about those maps getting large; we only skip obfuscating declared names in a few uncommon scenarios, such as the use of reflection or cgo's "//export". Since go/types is relatively allocation-heavy, and the export files contain a lot of data, we get a nice speed-up: name old time/op new time/op delta Build-16 11.5s ± 2% 11.1s ± 3% -3.77% (p=0.008 n=5+5) name old bin-B new bin-B delta Build-16 5.15M ± 0% 5.15M ± 0% ~ (all equal) name old cached-time/op new cached-time/op delta Build-16 375ms ± 3% 341ms ± 6% -8.96% (p=0.008 n=5+5) name old sys-time/op new sys-time/op delta Build-16 283ms ±17% 289ms ±13% ~ (p=0.841 n=5+5) name old user-time/op new user-time/op delta Build-16 687ms ± 6% 664ms ± 7% ~ (p=0.548 n=5+5) Fixes #456. Updates #475.
The crypto/elliptic issue is now fixed with https://go-review.googlesource.com/c/go/+/380475. |
Some updated numbers:
So it seems to me like the only two places we need to pay attention to in the very short term is |
Pretty sure I could squeeze another 10-20% out of it once these CLs are merged. I don't want to go any further for now, before reviews. |
I just captured a Linux perf CPU profile from the build in #472 with an empty cache:
If we just look at the
main.main
funcs, we see:The first column is cumulative CPU cost as a percentage. It seems like
compile
takes ~70% of the CPU,garble
takes ~8%, ~1% goes to the other toolchain binaries, and presumably the other ~20% is other overhead like blocking I/O or syscalls.This seems like a good start; garble itself is not being horribly wasteful with CPU.
Then, zooming into
garble
withd
to skip the CPU cost fromcompile
andlink
, we see:Some interesting bits:
mallocgc
at 2.3% andscanobject
at 1.3%. We should try to do better, though I imagine most of the allocs happen ingo/parser
andgo/types
.printFile
alone is responsible for 2.6%, most of which comes fromgo/printer.WalkBinary
. That looks suspicious.BinaryExpr
, this time for looking up its position. Do we have some massive binary expressions?This issue is to post this information and act as a reminder to look into these potential optimizations.
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