#blas — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #blas, aggregated by home.social.
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#SAN #BLAS #ASUNCIÓN multi-search-tag-explorer.aepiot.ro/advanced-sea... #JAMES #LEIGH #JOYNES #CLERGYMAN www.perplexity.ai/search/new?q... nopzon.com/895e7387/glo... aePiot: Be the first in Web 4.0. Build nodes, dominate SEO.
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#SAN #BLAS #ASUNCIÓN multi-search-tag-explorer.aepiot.ro/advanced-sea... #JAMES #LEIGH #JOYNES #CLERGYMAN www.perplexity.ai/search/new?q... nopzon.com/895e7387/glo... aePiot: Be the first in Web 4.0. Build nodes, dominate SEO.
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#Copilot and I are about 30% away from creating a #Pascal version of #LAPACK using #BLAS. We are about two days away from achieving 80% of LAPACK. Then we will tweak it using some GPU acceleration to make its speed comparable to some python libraries like Numpy.
It is important to note that one must be very disciplined in keeping clean documentations, a thorough and tight testing cycle, a rigid workflow pattern, or an AI will tend to skip tests, become sloppy and lose focus.
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#Copilot and I are about 30% away from creating a #Pascal version of #LAPACK using #BLAS. We are about two days away from achieving 80% of LAPACK. Then we will tweak it using some GPU acceleration to make its speed comparable to some python libraries like Numpy.
It is important to note that one must be very disciplined in keeping clean documentations, a thorough and tight testing cycle, a rigid workflow pattern, or an AI will tend to skip tests, become sloppy and lose focus.
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#Copilot and I are about 30% away from creating a #Pascal version of #LAPACK using #BLAS. We are about two days away from achieving 80% of LAPACK. Then we will tweak it using some GPU acceleration to make its speed comparable to some python libraries like Numpy.
It is important to note that one must be very disciplined in keeping clean documentations, a thorough and tight testing cycle, a rigid workflow pattern, or an AI will tend to skip tests, become sloppy and lose focus.
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#Copilot and I are about 30% away from creating a #Pascal version of #LAPACK using #BLAS. We are about two days away from achieving 80% of LAPACK. Then we will tweak it using some GPU acceleration to make its speed comparable to some python libraries like Numpy.
It is important to note that one must be very disciplined in keeping clean documentations, a thorough and tight testing cycle, a rigid workflow pattern, or an AI will tend to skip tests, become sloppy and lose focus.
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#AI illiteracy is real. While still arguing with a bunch of AI haters, #Copilot and I just finished our #Pascal #BLAS level 1-3 Implementation plus eigenvalue, cholesky, and sparse #matrix, so we will never need #python, #C, C#, #Rust, ... for our Small Language Project. We will expand our Pascal Numeric Library (PNL) v1.0 to something like #Numpy and #Pytorch, but with static arrays, deterministic data structure, no referencing, no pointer arithmetic.
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#AI illiteracy is real. While still arguing with a bunch of AI haters, #Copilot and I just finished our #Pascal #BLAS level 1-3 Implementation plus eigenvalue, cholesky, and sparse #matrix, so we will never need #python, #C, C#, #Rust, ... for our Small Language Project. We will expand our Pascal Numeric Library (PNL) v1.0 to something like #Numpy and #Pytorch, but with static arrays, deterministic data structure, no referencing, no pointer arithmetic.
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#AI illiteracy is real. While still arguing with a bunch of AI haters, #Copilot and I just finished our #Pascal #BLAS level 1-3 Implementation plus eigenvalue, cholesky, and sparse #matrix, so we will never need #python, #C, C#, #Rust, ... for our Small Language Project. We will expand our Pascal Numeric Library (PNL) v1.0 to something like #Numpy and #Pytorch, but with static arrays, deterministic data structure, no referencing, no pointer arithmetic.
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#AI illiteracy is real. While still arguing with a bunch of AI haters, #Copilot and I just finished our #Pascal #BLAS level 1-3 Implementation plus eigenvalue, cholesky, and sparse #matrix, so we will never need #python, #C, C#, #Rust, ... for our Small Language Project. We will expand our Pascal Numeric Library (PNL) v1.0 to something like #Numpy and #Pytorch, but with static arrays, deterministic data structure, no referencing, no pointer arithmetic.
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While arguing with some AI haters, #Copilot and I created this Pure #Pascal #BLAS (Level 1,2,3 Core) Implementation in less than 1 day. We encountered many serious problems, including drifting of workflow pattern, getting stuck in a Delphi error loop, overhauling our original design... But as long as you understand AI, keep good documentations, maintain the core structure of the problem,.. you will be able to work with AI successfully. Don't hesitate to use more than one #AI at a time.
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While arguing with some AI haters, #Copilot and I created this Pure #Pascal #BLAS (Level 1,2,3 Core) Implementation in less than 1 day. We encountered many serious problems, including drifting of workflow pattern, getting stuck in a Delphi error loop, overhauling our original design... But as long as you understand AI, keep good documentations, maintain the core structure of the problem,.. you will be able to work with AI successfully. Don't hesitate to use more than one #AI at a time.
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While arguing with some AI haters, #Copilot and I created this Pure #Pascal #BLAS (Level 1,2,3 Core) Implementation in less than 1 day. We encountered many serious problems, including drifting of workflow pattern, getting stuck in a Delphi error loop, overhauling our original design... But as long as you understand AI, keep good documentations, maintain the core structure of the problem,.. you will be able to work with AI successfully. Don't hesitate to use more than one #AI at a time.
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While arguing with some AI haters, #Copilot and I created this Pure #Pascal #BLAS (Level 1,2,3 Core) Implementation in less than 1 day. We encountered many serious problems, including drifting of workflow pattern, getting stuck in a Delphi error loop, overhauling our original design... But as long as you understand AI, keep good documentations, maintain the core structure of the problem,.. you will be able to work with AI successfully. Don't hesitate to use more than one #AI at a time.
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What is #BLAS?
BLAS is a set of fast matrix routines originally written in #Fortran.
If you’re tired of dynamic types, hidden references, ownership rules, and endless “stream” abstractions, Free #Pascal + BLAS gives you old‑school, deterministic HPC #programming with none of the modern noise.#Copilot and I will be using Free Pascal and BLAS for our Small Language Model project #SLM. No more #C, #python, #Rust, or C#
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What is #BLAS?
BLAS is a set of fast matrix routines originally written in #Fortran.
If you’re tired of dynamic types, hidden references, ownership rules, and endless “stream” abstractions, Free #Pascal + BLAS gives you old‑school, deterministic HPC #programming with none of the modern noise.#Copilot and I will be using Free Pascal and BLAS for our Small Language Model project #SLM. No more #C, #python, #Rust, or C#
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What is #BLAS?
BLAS is a set of fast matrix routines originally written in #Fortran.
If you’re tired of dynamic types, hidden references, ownership rules, and endless “stream” abstractions, Free #Pascal + BLAS gives you old‑school, deterministic HPC #programming with none of the modern noise.#Copilot and I will be using Free Pascal and BLAS for our Small Language Model project #SLM. No more #C, #python, #Rust, or C#
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What is #BLAS?
BLAS is a set of fast matrix routines originally written in #Fortran.
If you’re tired of dynamic types, hidden references, ownership rules, and endless “stream” abstractions, Free #Pascal + BLAS gives you old‑school, deterministic HPC #programming with none of the modern noise.#Copilot and I will be using Free Pascal and BLAS for our Small Language Model project #SLM. No more #C, #python, #Rust, or C#
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Why do people use #python, a glue language, which is so slow? The only reason is the AI ecosystem.
#Copilot and I just tested Free Pascal and BLAS for its speed without using #numpy or #pytorch. The result is amazing. It took less than a second to do a 1024x1024 #matrix multiplication.
We will be using Free #Pascal and #BLAS to write our Small Language Model #SLM using #NNUE.
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Why do people use #python, a glue language, which is so slow? The only reason is the AI ecosystem.
#Copilot and I just tested Free Pascal and BLAS for its speed without using #numpy or #pytorch. The result is amazing. It took less than a second to do a 1024x1024 #matrix multiplication.
We will be using Free #Pascal and #BLAS to write our Small Language Model #SLM using #NNUE.
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Why do people use #python, a glue language, which is so slow? The only reason is the AI ecosystem.
#Copilot and I just tested Free Pascal and BLAS for its speed without using #numpy or #pytorch. The result is amazing. It took less than a second to do a 1024x1024 #matrix multiplication.
We will be using Free #Pascal and #BLAS to write our Small Language Model #SLM using #NNUE.
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Why do people use #python, a glue language, which is so slow? The only reason is the AI ecosystem.
#Copilot and I just tested Free Pascal and BLAS for its speed without using #numpy or #pytorch. The result is amazing. It took less than a second to do a 1024x1024 #matrix multiplication.
We will be using Free #Pascal and #BLAS to write our Small Language Model #SLM using #NNUE.
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Ultra-efficient AS Monaco return to winning ways to get back on track against Rennes https://www.byteseu.com/1762956/ #AnsuFati #ASMonaco #BayernMunich #Blas #Brassier #DenisZakaria #Embolo #FolarinBalogun #Frankowski #Golovin #Ilenikhena #Jacquet #Juventus #Kamara #KassoumOuattara #Kehrer #KrépinDiatta #Lepaul #Ligue1 #lyon #MaghnesAkliouche #MamadouCoulibaly #MikaBiereth #Monaco #Nantes #PhilippKöhn #Rennes #SébastienPocognoli #Seidu #StadeRennais #StanisIdumbo #szymanski #Teze #Vanderson
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Developing a BLAS Library for the AMD AI Engine [pdf]
https://uni.tlaan.nl/thesis/msc_thesis_tristan_laan_aieblas.pdf
#HackerNews #Developing #BLAS #AMD #AI #Engine #AI #Library #PDF #Research
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https://www.europesays.com/es/297675/ Pase de revista a la escultura de Blas de Lezo en Cádiz #arte #ArteYDiseño #Arts #ArtsAndDesign #blas #cadiz #Design #Diseño #Entertainment #Entretenimiento #ES #escultura #España #lezo #pase #revista #Spain
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https://www.europesays.com/es/202080/ Nach: «A veces me siento en la grada de la cancha de San Blas y me veo con 13 años jugando al baloncesto» #alicante #anos #Baloncesto #blas #Cancha #destino #Entertainment #Entretenimiento #EntrevistaNachAlicante #ES #España #grada #HipHopEspanol #jugando #Music #Música #MúsicaUrbana #nach #NuevoDiscoNach #Rap #san #SanBlas #siento #Spain #veces #veo
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Sources for using OpenBlas multi-threading numerical libraries in CRAN R:
[1] https://csantill.github.io/RPerformanceWBLAS/ (including Benchmarks and HowTo for Linux)
[2] http://brettklamer.com/diversions/statistical/faster-blas-in-r/
[3] https://www.r-bloggers.com/why-is-r-slow-some-explanations-and-mklopenblas-setup-to-try-to-fix-this/
[4] https://github.com/xianyi/OpenBLAS (binary packages for Windows)
#rstats #cran #multicore #multithreading #parallelization #linux #windows #OpenBlas #BLAS #LAPACK
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Time for an #introduction!
I'm a young Canuck with interests/experience in #HPC, #Linux, #BLAS, #SYCL, #C, #AVX512, #Rust, heterogeneous compute & other such things.Currently my personal projects are bringing #FP16 to the #OpenBLAS library, working to standardize what Complex domain BLAS FP16 kernels/implementations should look like, and making sure #SYCL is available everywhere.
I also write every now and again. Here's the tail of AVX512 FP16 on Alderlake
https://gist.github.com/FCLC/56e4b3f4a4d98cfd274d1430fabb9458 -
Was going through the Risc-V Vector ISA spec (as you do) and noticed this little gem:
Specifically the line "When 16-bit and 128-bit element widths are added, they will be also be treated as IEEE-754/2008-compatible values. "
Unless I'm miss interpreting this, is Risc-V indicating future *native* support for 128 bit integer and floating point?
On the other hand, because I'm that guy: GOSH DARN IT, WHY NOT SHIP FP16 AS PART OF V.1 😭
https://github.com/riscv/riscv-v-spec/releases/download/v1.0/riscv-v-spec-1.0.pdf -
C++26 — прогресс и новинки от ISO C++
Работа в комитете по стандартизации языка C++ активно кипит. Недавно состоялось очередное заседание. Как один из участников, поделюсь сегодня с Хабром свежими новостями и описанием изменений, которые планируются в С++26. До нового стандарта C++ остаётся чуть больше года, и вот некоторые новинки, которые попали в черновик стандарта за последние две встречи: запрет возврата из функции ссылок на временное значение, [[indeterminate]] и уменьшение количества Undefined Behavior, диагностика при =delete; , арифметика насыщения, линейная алгебра (да-да! BLAS и немного LAPACK), индексирование variadic-параметров и шаблонов ...[42] , вменяемый assert(...) , и другие приятные мелочи. Помимо этого, вас ждут планы и прогресс комитета по большим фичам и многое другое. Рассмотрим новинки на примерах
https://habr.com/ru/companies/yandex/articles/801115/
#c++ #с++ #constexpr #c++26 #с++26 #numeric #floating_point #float #double #iso #программирование #span #functions #function #blas #lapack #atomic #linear_algebra #variadic_templates
