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Top 23 Bla Open-Source Projects
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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SimSIMD
Up to 200x Faster Inner Products and Vector Similarity — for Python, JavaScript, Rust, and C, supporting f64, f32, f16 real & complex, i8, and binary vectors using SIMD for both x86 AVX2 & AVX-512 and Arm NEON & SVE 📐
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blasjs
Pure Javascript manually written :ok_hand: implementation of BLAS, Many numerical software applications use BLAS computations, including Armadillo, LAPACK, LINPACK, GNU Octave, Mathematica, MATLAB, NumPy, R, and Julia.
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kokkos-kernels
Kokkos C++ Performance Portability Programming Ecosystem: Math Kernels - Provides BLAS, Sparse BLAS and Graph Kernels
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laser
The HPC toolbox: fused matrix multiplication, convolution, data-parallel strided tensor primitives, OpenMP facilities, SIMD, JIT Assembler, CPU detection, state-of-the-art vectorized BLAS for floats and integers (by mratsim)
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sparse
Sparse matrix formats for linear algebra supporting scientific and machine learning applications
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The Fortran implementation is just a reference implementation. The goal of reference BLAS [0] is to provide relatively simple and easy to understand implementations which demonstrate the interface and are intended to give correct results to test against. Perhaps an exceptional Fortran compiler which doesn't yet exist could generate code which rivals hand (or automatically) tuned optimized BLAS libraries like OpenBLAS [1], MKL [2], ATLAS [3], and those based on BLIS [4], but in practice this is not observed.
Justine observed that the threading model for LLaMA makes it impractical to integrate one of these optimized BLAS libraries, so she wrote her own hand-tuned implementations following the same principles they use.
[0] https://en.wikipedia.org/wiki/Basic_Linear_Algebra_Subprogra...
[1] https://github.com/OpenMathLib/OpenBLAS
[2] https://www.intel.com/content/www/us/en/developer/tools/onea...
[3] https://en.wikipedia.org/wiki/Automatically_Tuned_Linear_Alg...
[4]https://en.wikipedia.org/wiki/BLIS_(software)
Project mention: Faer-rs: Linear algebra foundation for the Rust programming language | news.ycombinator.com | 2024-04-24BLIS 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.
Project mention: Linus Torvalds adds arbitrary tabs to kernel code | news.ycombinator.com | 2024-04-17Indentation by steps of 3 spaces is common in old Fortran 77 code. This is LAPACK for example. Scroll down to about line 400 to see actual code, not comments.
https://github.com/Reference-LAPACK/lapack/blob/master/SRC/c...
Nice article. We did a demo for booting to LLM and also as Kernel Module: https://github.com/trholding/llama2.c The whole things was funny and buggy, but since then we have been developing in stealth, even trying to raise VC capital. Our goal is to make computers like a buddy to whom you can talk to and explain things and get work done, kinda like a Jarvis. The way we interact with computers haven't changed for decades, its time to disrupt that to get more productivity. I also believe with this approach one can avoid installing different applications, when the computer (models) emulate activities done through applications. For example, cutting and pasting a dog from a dog photo onto a banner for a dog racing competition would not require you to be a graphics artist nor use tools like photshop / gimp. You could tell the computer and it would use segment anything to cut the dog, use Text and SD for banner text and bg paste the dog, seek your approval, search for the fastest, best and cheapest banner printing service and submit it. 10 years ago this could have been sci-fi, but now it is a possibility. Just need to connect the dots, package and polish it to make it a good product.
git clone https://github.com/CNugteren/CLBlast.git cd CLBlast cmake . cmake --build . --config Release mkdir install cmake --install . --prefix ~/CLBlast/install cp libclblast.so* $PREFIX/lib cp ./include/clblast.h ../llama.cpp
Project mention: Vectorious: BLAS-accelerated linear algebra for TypeScript | /r/hypeurls | 2023-06-02
Project mention: Nvidia DGX GH200: The First 100 Terabyte GPU Memory System | news.ycombinator.com | 2023-05-31The same is also true for https://github.com/ROCmSoftwarePlatform/rocBLAS and https://github.com/ROCmSoftwarePlatform/hipBLASLt although the build stack, distribution— leaves a lot to be desired, and otherwise quite unstable.
It depends.
You need 2~3 accumulators to saturate instruction-level parallelism with a parallel sum reduction. But the compiler won't do it because it only creates those when the operation is associative, i.e. (a+b)+c = a+(b+c), which is true for integers but not for floats.
There is an escape hatch in -ffast-math.
I have extensive benches on this here: https://github.com/mratsim/laser/blob/master/benchmarks%2Ffp...
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Blas related posts
- Linus Torvalds adds arbitrary tabs to kernel code
- Hosting Your Own AI Chatbot on Android Devices
- BLIS: Portable basis for high-performance BLAS-like linear algebra libs
- Benchmarking 20 programming languages on N-queens and matrix multiplication
- The Art of High Performance Computing
- Lapack: Release 3.12.0
- Lapack – Releases from 1.0 to 3.1.1
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Index
What are some of the best open-source Bla projects? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | OpenBLAS | 5,952 |
| 2 | blis | 2,091 |
| 3 | lapack | 1,396 |
| 4 | llama2.c | 1,382 |
| 5 | CLBlast | 995 |
| 6 | scikit-cuda | 967 |
| 7 | vectorious | 911 |
| 8 | SimSIMD | 715 |
| 9 | oneMKL | 565 |
| 10 | oj! Algorithms | 453 |
| 11 | rocBLAS | 315 |
| 12 | blasjs | 288 |
| 13 | kokkos-kernels | 276 |
| 14 | blasfeo | 276 |
| 15 | laser | 261 |
| 16 | monolish | 189 |
| 17 | xtensor-blas | 154 |
| 18 | sparse | 153 |
| 19 | hipBLAS | 97 |
| 20 | rust-blas | 82 |
| 21 | intel-mkl-src | 74 |
| 22 | blas | 72 |
| 23 | hipfort | 65 |
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