stdarch
simd-alphatensor-rs
stdarch | simd-alphatensor-rs | |
---|---|---|
7 | 2 | |
598 | 58 | |
0.8% | - | |
9.3 | 10.0 | |
7 days ago | over 1 year ago | |
Rust | Rust | |
Apache License 2.0 | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
stdarch
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Detecting SIMD support on ARM with Android (and patching the Rust compiler for it)
Good to know! How would you compare it with the std_detect implementation, underlying the standard library (https://github.com/rust-lang/stdarch/tree/master/crates/std_detect)?
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Filtering a Vector with SIMD Instructions (AVX-2 and AVX-512)
Fortunately, @burntsushi (thanks) is sharing the workaround in the rust-lang github issue. The trick is to reinterpret a (non-tagged) union for this.
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rustc_codegen_gcc: Progress Report #14
The stdarch tests will test target-specific stuff like SIMD while to UI tests are more generic. They both test that the compiler will produce an executable that produce the correct output (or that rustc itself will produce the correct output).
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rustc_codegen_gcc: Progress Report #13
I made enough progress to be able to compile the tests of stdarch and most of them pass: that's a huge milestone!
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Incredibly fast UTF-8 validation
You can check the code. Apparently the std implementation uses the OSXSAVE register to check that the OS supports saving AVX/AVX2 registers during context switches and only then enables it. In a non-std context one might not generally be able to depend on the OSXSAVE register.
simd-alphatensor-rs
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Got bored and implemented the AlphaTensor matrix multiplication algorithms in Rust with SIMD https://github.com/drbh/simd-alphatensor-rs
thanks for the feedback u/lebensterben. Please see https://github.com/drbh/simd-alphatensor-rs#benchmarks for the results and https://github.com/drbh/simd-alphatensor-rs/blob/main/benches/my_benchmark/main.rs for the actual tests. Overall the results are promising - however, benches should always be taken with a grain of salt. I hope this is helpful!
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