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OpenBLAS Alternatives
Similar projects and alternatives to OpenBLAS
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SonarQube
Static code analysis for 29 languages.. Your projects are multi-language. So is SonarQube analysis. Find Bugs, Vulnerabilities, Security Hotspots, and Code Smells so you can release quality code every time. Get started analyzing your projects today for free.
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prometeo
An experimental Python-to-C transpiler and domain specific language for embedded high-performance computing
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Revelo Payroll
Free Global Payroll designed for tech teams. Building a great tech team takes more than a paycheck. Zero payroll costs, get AI-driven insights to retain best talent, and delight them with amazing local benefits. 100% free and compliant.
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Octavian.jl
Multi-threaded BLAS-like library that provides pure Julia matrix multiplication
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compiler-explorer
Run compilers interactively from your web browser and interact with the assembly
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Onboard AI
Learn any GitHub repo in 59 seconds. Onboard AI learns any GitHub repo in minutes and lets you chat with it to locate functionality, understand different parts, and generate new code. Use it for free at www.getonboard.dev.
OpenBLAS reviews and mentions
- Assume I'm an idiot - oogabooga LLaMa.cpp??!
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Learn x86-64 assembly by writing a GUI from scratch
Yeah. I'm going to be helping to work on expanding CI for OpenBlas and have been diving into this stuff lately. See the discussion in this closed OpenBlas issue gh-1968 [0] for instance. OpenBlas's Skylake kernels do rely on intrinsics [1] for compilers that support them, but there's a wide range of architectures to support, and when hand-tuned assembly kernels work better, that's what are used. For example, [2].
[0] https://github.com/xianyi/OpenBLAS/issues/1968
[1] https://github.com/xianyi/OpenBLAS/blob/develop/kernel/x86_6...
[2] https://github.com/xianyi/OpenBLAS/blob/23693f09a26ffd8b60eb...
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AI’s compute fragmentation: what matrix multiplication teaches us
We'll have to wait until part 2 to see what they are actually proposing, but they are trying to solve a real problem. To get a sense of things check out the handwritten assembly kernels in OpenBlas [0]. Note the level of granularity. There are micro-optimized implementations for specific chipsets.
If progress in ML will be aided by a proliferation of hyper-specialized hardware, then there really is a scalability issue around developing optimized matmul routines for each specialized chip. To be able to develop a custom ASIC for a particular application and then easily generate the necessary matrix libraries without having to write hand-crafted assembly for each specific case seems like it could be very powerful.
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The Bitter Truth: Python 3.11 vs Cython vs C++ Performance for Simulations
There isn't any fortran code in the repo there itself but numpy itself can be linked with several numeric libraries. If you look through the wheels for numpy available on pypi, all the latest ones are packaged with OpenBLAS which uses Fortran quite a bit: https://github.com/xianyi/OpenBLAS
- Optimizing compilers reload vector constants needlessly
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Just a quick question, can a programming language be as fast as C++ and efficient with as simple syntax like Python?
Sure - write functions in another language, export C bindings, and then call those functions from Python. An example is NumPy - a lot of its linear algebra functions are implemented in C and Fortran.
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CL-AUTOWRAP generated (C)BLAS wrapper in QUICKLISP
Is there a canonical (C)BLAS header file? I've been using the one provided by netlib, however OpenBLAS also provides a cblas.h and this also defines some additional functions such as cblas_crotg and cblas_zrotg. What about versioning for header files?
- Russia to Legalize Software Piracy
- Fork() is evil; vfork() is goodness; afork() would be better; clone() is stupid
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Benchmarking the Apple M1 Max
I used OpenBLAS on my cheap last-generation AMD Ryzen 7 4700U laptop like so:
git clone https://github.com/xianyi/OpenBLAS
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A note from our sponsor - InfluxDB
www.influxdata.com | 4 Oct 2023
Stats
OpenMathLib/OpenBLAS is an open source project licensed under BSD 3-clause "New" or "Revised" License which is an OSI approved license.
The primary programming language of OpenBLAS is C.