Blis Alternatives

blis reviews and mentions

• Faer-rs: Linear algebra foundation for the Rust programming language
  8 projects | news.ycombinator.com | 24 Apr 2024

  BLIS is an interesting new direction in that regard: https://github.com/flame/blis

  >The BLAS-like Library Instantiation Software (BLIS) framework is a new infrastructure for rapidly instantiating Basic Linear Algebra Subprograms (BLAS) functionality. Its fundamental innovation is that virtually all computation within level-2 (matrix-vector) and level-3 (matrix-matrix) BLAS operations can be expressed and optimized in terms of very simple kernels.

• Optimize sgemm on RISC-V platform
  6 projects | news.ycombinator.com | 28 Feb 2024

  There is a recent update to the blis alternative to BLAS that includes a number of RISC-V performance optimizations.

  https://github.com/flame/blis/pull/737

• BLIS: Portable basis for high-performance BLAS-like linear algebra libs
  2 projects | news.ycombinator.com | 24 Jan 2024

  https://github.com/flame/blis/blob/master/docs/Performance.m...

  It seems that the selling point is that BLIS does multi-core quite well. I am especially impressed that it does as well as the highly optimized Intel's MKL on Intel's CPUs.

  I do not see the selling point of BLIS-specific APIs, though. The whole point of having an open BLAS API standard is that numerical libraries should be drop-in replaceable, so when a new library (such as BLIS here) comes along, one could just re-link the library and reap the performance gain immediately.

  What is interesting is that numerical algebra work, by nature, is mostly embarrassingly parallel, so it should not be too difficult to write multi-core implementations. And yet, BLIS here performs so much better than some other industry-leading implementations on multi-core configurations. So the question is not why BLIS does so well; the question is why some other implementations do so poorly.

• Benchmarking 20 programming languages on N-queens and matrix multiplication
  15 projects | news.ycombinator.com | 2 Jan 2024

  First we can use Laser, which was my initial BLAS experiment in 2019. At the time in particular, OpenBLAS didn't properly use the AVX512 VPUs. (See thread in BLIS https://github.com/flame/blis/issues/352 ), It has made progress since then, still, on my current laptop perf is in the same range

  Reproduction:

• The Art of High Performance Computing
  4 projects | news.ycombinator.com | 30 Dec 2023

  https://github.com/flame/blis/

  Field et al, recent winners of the James H. Wilkinson Prize for Numerical Software.

  Field and Goto both worked with Robert van de Geijn. Lots of TACC interaction in that broader team.

• [D] Which BLAS library to choose for apple silicon?
  2 projects | /r/MachineLearning | 24 May 2023

  BLIS is fine too~ https://github.com/flame/blis

• Column Vectors vs. Row Vectors
  1 project | news.ycombinator.com | 27 Oct 2022

  Here's BLIS's object API:

  https://github.com/flame/blis/blob/master/docs/BLISObjectAPI...

  Searching "object" in BLIS's README (https://github.com/flame/blis) to see what they think of it:

  "Objects are relatively lightweight structs and passed by address, which helps tame function calling overhead."

  "This is API abstracts away properties of vectors and matrices within obj_t structs that can be queried with accessor functions. Many developers and experts prefer this API over the typed API."

  In my opinion, this API is a strict improvement over BLAS. I do not think there is any reason to prefer the old BLAS-style API over an improvement like this.

  Regarding your own experience, it's great that using BLAS proved to be a valuable learning experience for you. But your argument that the BLAS API is somehow uniquely helpful in terms of learning how to program numerical algorithms efficiently, or that it will help you avoid performance problems, is not true. It is possible to replace the BLAS API with a more modern and intuitive API with the same benefits. To be clear, the benefits here are direct memory management and control of striding and matrix layout, which create opportunities for optimization. There is nothing unique about BLAS in this regard---it's possible to learn these lessons using any of the other listed options if you're paying attention and being systematic.

• BLIS: Portable software framework for high-performance linear algebra
  1 project | news.ycombinator.com | 17 Aug 2022
• Small Neural networks in Julia 5x faster than PyTorch
  8 projects | news.ycombinator.com | 14 Apr 2022

  The article asks "Which Micro-optimizations matter for BLAS3?", implying small dimensions, but doesn't actually tell me. The problem is well-studied, depending on what you consider "small". The most important thing is to avoid the packing step below an appropriate threshold. Implementations include libxsmm, blasfeo, and the "sup" version in blis (with papers on libxsmm and blasfeo). Eigen might also be relevant.

  https://libxsmm.readthedocs.io/

  https://blasfeo.syscop.de/

  https://github.com/flame/blis

• Eigen: A C++ template library for linear algebra
  6 projects | news.ycombinator.com | 4 Apr 2022
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