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NervanaSystems/maxas

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Assembler for NVIDIA Maxwell architecture

18 mentions on Hacker News by 16 people: 1 story, 17 comments · first 2015-05-03 · latest 2025-03-29

Mentions per year 18 mentions · busiest year 2015 (5)
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  1. …of optimizing gemm on NVIDIA hardware ( https://salykova.github.io/sgemm-gpu ) mentions 'maxas' ( https://github.com/NervanaSystems/maxas/wiki/Introduction ) - which was really a step forward in this space. I still blame Intel (buying…
    comment by touisteur · 2025-03-29 · in Optimizing Matrix Multiplication on RDNA3
  2. …about the hardware details required to understand why this helps. Article on this is forthcoming https://github.com/NervanaSystems/maxas/wiki/SGEMM
    comment by aaa370 · 2024-07-26 · in How to optimize a CUDA matmul kernel for cuBLAS-like performance (2022)
  3. …return to static scheduling and I think this is describing more or less the same thing in Maxwell: https://github.com/NervanaSystems/maxas/wiki/Control-Codes
    comment by rrss · 2020-09-14 · in Nvidia to Acquire Arm for $40B
  4. Except that, for CUDA, they do. https://github.com/NervanaSystems/maxas exhibited significantly higher performance than Nvidia's own SGEMM kernel, and https://github.com/mangpo/swizzle-inventor beats all named competitors in the…
    comment by namibj · 2020-08-03 · in Autodesk criticised by architects
  5. …think any well-tuned GPU kernels use 32 warps/block, most are at 4 to 8 warps/block. See also: https://github.com/NervanaSystems/maxas/wiki/SGEMM https://www.nvidia.com/content/GTC-2010/pdfs/2238_GTC2010.pd...
    comment by rrss · 2020-06-02 · in Understanding Latency Hiding on GPUs (2016) [pdf]
  6. …//github.com/numforge/laser/wiki/Convolution-optimisat... - Optimizing matrix multiplication on GPUs: https://github.com/NervanaSystems/maxas/wiki/SGEMM , again it's all about memory and caches optimization - Let's switch to another domain…
    comment by mratsim · 2020-04-22 · in A possible new back end for Rust
  7. Not entirely true - Scott Gray knows: https://github.com/NervanaSystems/maxas/wiki/SGEMM IIRC his kernels shipped in cuBLAS at some point.
    comment by tntn · 2019-05-09 · in Build a Neural Network
  8. …of low-level language (iirc. they are still manufactured on small mainstream process nodes). [0] https://github.com/NervanaSystems/maxas
    comment by namibj · 2018-05-01 · in C Is Not a Low-Level Language
  9. …your own cuda no problem: https://research.google.com/pubs/pub45226.html or write your own assembly https://github.com/NervanaSystems/maxas What you miss is there is a reason why OpenCL didn't get traction and lack of tools translating…
    comment by llukas · 2018-03-27 · in NVIDIA Develops NVLink Switch: NVSwitch, 18 Ports For DGX-2
  10. …to be hand coded. you can see how much attention to detail scott gray puts into his kernels eg at https://github.com/NervanaSystems/maxas
    comment by hughperkins · 2016-09-05 · in An evaluation of throughput computing on CPU and GPU (2010) [pdf]
  11. There is a Nvidia Maxwell assembler https://github.com/NervanaSystems/maxas But yeah this isn't production ready
    comment by valarauca1 · 2016-08-18 · in Intel Announces Knights Mill: A Xeon Phi for Deep Learning
  12. …engineer the binary formats and write open source assemblers for recent versions of SASS (e.g., https://github.com/NervanaSystems/maxas ).
    comment by jrk · 2016-04-25 · in GPUCC – An Open-Source GPGPU Compiler
  13. …Maxwell added additional control capabilities and so has 1 control for every 3 instructions." [1] https://github.com/NervanaSystems/maxas/wiki/Control-Codes
    comment by Marat_Dukhan · 2016-01-10 · in Why I will be using RISC-V in my next chip
  14. …the manufacturers tend to keep really hidden, in order to avoid the binary compatibility trap, see https://github.com/NervanaSystems/maxas as an example for third party assembler for nvidia Maxwell arch) On GPU's the binary compatibility…
    comment by sharpneli · 2015-12-24 · in The Problem with Friendly C
  15. …in cuDNN's latest kernels. But even if it isn't, if you're willing to download Scott Grey's maxas: https://github.com/NervanaSystems/maxas , you can hit 6.4 TFLOPS with his hand-coded SGEMM. Similarly, one can do the same for convolutional…
    comment by varelse · 2015-08-10 · in Nvidia Digits DevBox
  16. Looking at some of the details in https://github.com/NervanaSystems/maxas/wiki/Control-Codes reminds me somewhat of the Itanium: a very wide architecture that is capable of high throughput for specialised applications, but requires a lot…
    comment by userbinator · 2015-05-04 · in Assembler for Nvidia Maxwell architecture
  17. …is almost 5% faster than NVidia's and its faster than anything that can be done in PTX. [1] https://github.com/NervanaSystems/maxas/wiki/Introduction
    comment by zerohp · 2015-05-04 · in Assembler for Nvidia Maxwell architecture
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    Assembler for Nvidia Maxwell architecture
    story by luu · 2015-05-03 · 10 comments