Optimize binary matching for fixed-width segments#6259
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Consider this function:
foo(<<A:6, B:6, C:6, D:6>>) ->
{A, B, C, D}.
The compiler in Erlang/OTP 25 and earlier would generate the following
code for doing the binary matching:
{test,bs_start_match3,{f,1},1,[{x,0}],{x,1}}.
{bs_get_position,{x,1},{x,0},2}.
{test,bs_get_integer2,
{f,3},
2,
[{x,1},
{integer,6},
1,
{field_flags,[{anno,[4,{file,"t.erl"}]},unsigned,big]}],
{x,2}}.
{test,bs_get_integer2,
{f,3},
3,
[{x,1},
{integer,6},
1,
{field_flags,[{anno,[4,{file,"t.erl"}]},unsigned,big]}],
{x,3}}.
{test,bs_get_integer2,
{f,3},
4,
[{x,1},
{integer,6},
1,
{field_flags,[{anno,[4,{file,"t.erl"}]},unsigned,big]}],
{x,4}}.
{test,bs_get_integer2,
{f,3},
5,
[{x,1},
{integer,6},
1,
{field_flags,[{anno,[4,{file,"t.erl"}]},unsigned,big]}],
{x,5}}.
{test,bs_test_tail2,{f,3},[{x,1},0]}.
That is, there would be one instruction for each segment being
matched. Having separate match instructions for each segment makes it
difficult for the JIT to do any serious optimization. Currently, when
matching a segment with a size that is not a multiple of 8, the JIT
will generate code that calls a helper function. Common sizes such as
8, 16, and 32 are specially optimized with inline code in the x86 JIT
and in the non-JIT BEAM VM.
This commit introduces a new `bs_match` instruction for matching of
integer and binary segments of fixed size. Here is the generated code
for the example:
{test,bs_start_match3,{f,1},1,[{x,0}],{x,1}}.
{bs_get_position,{x,1},{x,0},2}.
{bs_match,{f,3},
{x,1},
{commands,[{ensure_exactly,24},
{integer,2,{literal,[]},6,1,{x,2}},
{integer,3,{literal,[]},6,1,{x,3}},
{integer,4,{literal,[]},6,1,{x,4}},
{integer,5,{literal,[]},6,1,{x,5}}]}}.
Having only one instruction for the matching allows the JIT to
generate faster code. The generated code will do the following:
* Test that the size of the binary being matched is exactly 24 bits.
* Read 24 bits from the binary into a temporary CPU register.
* For each segment, extract the integer from the temporary register
by shifting and masking.
Because of the before-mentioned optimization for certain common
segment sizes, the main part of the Base64 encoding in the `base64`
module is currently implemented in the following non-intuitive way:
encode_binary(<<B1:8, B2:8, B3:8, Ls/bits>>, A) ->
BB = (B1 bsl 16) bor (B2 bsl 8) bor B3,
encode_binary(Ls,
<<A/bits,(b64e(BB bsr 18)):8,
(b64e((BB bsr 12) band 63)):8,
(b64e((BB bsr 6) band 63)):8,
(b64e(BB band 63)):8>>)
With the new optimization, it is now possible to express the Base64
encoding in a more natural way, which is also faster than before:
encode_binary(<<B1:6, B2:6, B3:6, B4:6, Ls/bits>>, A) ->
encode_binary(Ls,
<<A/bits,
(b64e(B1)):8,
(b64e(B2)):8,
(b64e(B3)):8,
(b64e(B4)):8>>)
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Consider this function:
The compiler in Erlang/OTP 25 and earlier would generate the following
code for doing the binary matching:
That is, there would be one instruction for each segment being
matched. Having separate match instructions for each segment makes it
difficult for the JIT to do any serious optimization. Currently, when
matching a segment with a size that is not a multiple of 8, the JIT
will generate code that calls a helper function. Common sizes such as
8, 16, and 32 are specially optimized with inline code in the x86 JIT
and in the non-JIT BEAM VM.
This pull request introduces a new
bs_matchinstruction for matching ofinteger and binary segments of fixed size. Here is the generated code
for the example:
Having only one instruction for the matching allows the JIT to
generate faster code. The generated code will do the following:
Test that the size of the binary being matched is exactly 24 bits.
Read 24 bits from the binary into a temporary CPU register.
For each segment, extract the integer from the temporary register
by shifting and masking.
Because of the before-mentioned optimization for certain common
segment sizes, the main part of the Base64 encoding in the
base64module is currently implemented in the following non-intuitive way:
With the new optimization, it is now possible to express the Base64
encoding in a more natural way, which is also faster than before: