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<blockquote style="position: relative; padding-left: 55px;"><section><a href="https://mk.absturztau.be/notes/9rh4bx4knca10092">niconiconi (niconiconi@mk.absturztau.be)'s status on Saturday, 30-Mar-2024 12:57:44 JST</a><a href="https://mk.absturztau.be/@niconiconi" title="niconiconi@mk.absturztau.be"><img src="https://gnusocial.jp/theme/gnusocialjp/default-avatar-stream.png" width="48" height="48" alt="niconiconi" style="position: absolute; left: 0; top: 0;">niconiconi</a></section><article><p><a href="https://mk.absturztau.be/tags/TIL" rel="tag">#TIL</a> C++26 is planning to add the whole BLAS into the standard library, and will natively support std::mdspan (the official multi-dimensional array since C++23). C++ surely is a programming language that people just throw everything imaginable into it. <a href="https://mk.absturztau.be/tags/hpc" rel="tag">#hpc</a></p></article><footer><a rel="bookmark" href="https://gnusocial.jp/conversation/2880572#notice-5723504">In conversation</a><time datetime="2024-03-30T12:57:44+09:00" title="Saturday, 30-Mar-2024 12:57:44 JST">about 8 months ago</time> <span>from <span><a href="https://mk.absturztau.be/notes/9rh4bx4knca10092" rel="external" title="Sent from mk.absturztau.be via ActivityPub">mk.absturztau.be</a></span></span><a href="https://mk.absturztau.be/notes/9rh4bx4knca10092">permalink</a><h4>Attachments</h4><ol><li><label><a rel="external" href="https://gnusocial.jp/attachment/2437807">Basic linear algebra algorithms (since C++26)Basic linear algebra algorithms are based on the dense Basic Linear Algebra Subroutines (BLAS) which corresponds to a subset of the BLAS Standard. These algorithms that access the elements of arrays view those elements through std::mdspan representing vector or matrix.The BLAS algorithms are categorized into three sets of operations called levels, which generally correspond to the degree of the polynomial in the complexities of algorithms:    BLAS 1: All algorithms with std::mdspan parameters perform a count of std::mdspan array accesses and arithmetic operations that are linear in the maximum product of extents of any std::mdspan parameter. These algorithms contain vector operations such as dot products, norms, and vector addition.
    BLAS 2: All algorithms have general complexity in quadratic time. These algorithms contain matrix-vector operations such as matrix-vector multiplications and a solver of the triangular linear system.
    BLAS 3: All algorithms have general complexity in cubic time. These algorithms contain matrix-matrix operations such as matrix-matrix multiplications and a solver of the multiple triangular linear systems.</a></label><br><a href="https://misskey-taube.s3.eu-central-1.wasabisys.com/files/beea4568-ee27-4c7f-9c27-064e539c8db2.webp" rel="external">https://misskey-taube.s3.eu-central-1.wasabisys.com/files/beea4568-ee27-4c7f-9c27-064e539c8db2.webp</a></li></ol></footer></blockquote>

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niconiconi (niconiconi@mk.absturztau.be)'s status on Saturday, 30-Mar-2024 12:57:44 JST niconiconi
#TIL C++26 is planning to add the whole BLAS into the standard library, and will natively support std::mdspan (the official multi-dimensional array since C++23). C++ surely is a programming language that people just throw everything imaginable into it. #hpc
In conversationabout 8 months ago from mk.absturztau.bepermalink
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1. Basic linear algebra algorithms (since C++26) Basic linear algebra algorithms are based on the dense Basic Linear Algebra Subroutines (BLAS) which corresponds to a subset of the BLAS Standard. These algorithms that access the elements of arrays view those elements through std::mdspan representing vector or matrix. The BLAS algorithms are categorized into three sets of operations called levels, which generally correspond to the degree of the polynomial in the complexities of algorithms: BLAS 1: All algorithms with std::mdspan parameters perform a count of std::mdspan array accesses and arithmetic operations that are linear in the maximum product of extents of any std::mdspan parameter. These algorithms contain vector operations such as dot products, norms, and vector addition. BLAS 2: All algorithms have general complexity in quadratic time. These algorithms contain matrix-vector operations such as matrix-vector multiplications and a solver of the triangular linear system. BLAS 3: All algorithms have general complexity in cubic time. These algorithms contain matrix-matrix operations such as matrix-matrix multiplications and a solver of the multiple triangular linear systems.
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