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tannevaled merged 1 commit into from
Oct 9, 2026
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docs(README): riscv64 and z17 results in the performance summary #40

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6 changes: 5 additions & 1 deletion README.md
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Expand Up @@ -100,7 +100,11 @@ is wrong on subnormals

On Apple silicon the GEMM reached parity with tuned BLAS at 1024² (OpenBLAS in
an arm64 VM, single-threaded vecLib on an M4 Max), and every product beats the
pure-Go `gonum` 4–10× (**[BENCHMARKS.md](BENCHMARKS.md)**). It is a
pure-Go `gonum` 4–10× (**[BENCHMARKS.md](BENCHMARKS.md)**). On the other
targets, against go-ndarray's own scalar code on one core: on a RISC-V
SpacemiT X60 the RVV kernels cut `Sum` by up to 5.8× and `MatMul` time by
31–45%; on an IBM z17 the s390x kernels cut `MatMul` 1024² from 340 to 70 ms
and `Max` by 92–96% ([docs/perf.md](docs/perf.md), *SIMD coverage*). It is a
**standalone, reusable** module and the cgo-free ndarray backend behind
[go-embedded-ruby](https://github.com/go-embedded-ruby/ruby)'s `NDArray` class.

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