This is an upcoming high performance computing book titled “Algorithms for Modern Hardware” by Sergey Slotin. Its intended audience is everyone from performance engineers and practical algorithm researchers to undergraduate computer science students who have just finished an advanced algorithms course and want to learn more practical ways to speed up a program than by going from $O(n \log n)$ to $
I Made Zig Compute 33 Million Satellite Positions in 3 Seconds. No GPU Required.
Update: I've since added multithreading and pushed astroz to 326M propagations/sec. Read the follow-up → I've spent the past month optimizing SGP4 propagation and ended up with something interesting: astroz is now the fastest general purpose SGP4 implementation I'm aware of, hitting 11-13M propagations per second in native Zig and ~7M/s through Python with just pip install astroz. This post breaks
NVIDIA Transitioning To Official, Open-Source Linux GPU Kernel Driver - Phoronix
NVIDIA Transitioning To Official, Open-Source Linux GPU Kernel Driver Written by Michael Larabel in Display Drivers on 11 May 2022 at 04:05 PM EDT. Page 1 of 1. 239 Comments. The day has finally come: NVIDIA IS PUBLISHING THEIR LINUX GPU KERNEL MODULES AS OPEN-SOURCE! To much excitement and a sign of the times, the embargo has just expired on this super-exciting milestone that many of us have been
Exactly ten years ago today, we published "Why We Created Julia", introducing the Julia project to the world. At this point, we have moved well past the ambitious goals set out in the original blog post. Julia is now used by hundreds of thousands of people. It is taught at hundreds of universities and entire companies are being formed that build their software stacks on Julia. From personalized me
DirectX Adopting SPIR-V as the Interchange Format of the Future - DirectX Developer Blog
Today the Direct3D and HLSL teams are excited to share some insight into the next big step for GPU programmability. Once Shader Model 7 is released, DirectX 12 will accept shaders compiled to SPIR-V™. The HLSL team is committed to open development processes and collaborating with The Khronos® Group and LLVM Project. We’re sharing this information at the beginning of our multi-year development proc
Fine-tuning LLMs to 1.58bit: extreme quantization made easy
As Large Language Models (LLMs) grow in size and complexity, finding ways to reduce their computational and energy costs has become a critical challenge. One popular solution is quantization, where the precision of parameters is reduced from the standard 16-bit floating-point (FP16) or 32-bit floating-point (FP32) to lower-bit formats like 8-bit or 4-bit. While this approach significantly cuts dow
LightGBM のバージョン 4.0.0 が 2023-07-14 にリリースされた。 このリリースは久しぶりのメジャーアップデートで、様々な改良が含まれている。 詳細については、以下のリリースノートで確認できる。 github.com リリースの大きな目玉として CUDA を使った学習の実装が全面的に書き直されたことが挙げられる。 以前の LightGBM は、GPU を学習に使う場合でも、その計算リソースを利用できる範囲が限られていた。 それが、今回の全面的な刷新によって、利用の範囲が拡大されたとのこと。 ただし、PyPI で配布されている Linux 向け Wheel ファイルは CUDA での学習に対応していない。 対応しているのは CPU と、GPU でも OpenCL の API を使ったもの。 そのため、もし CUDA を使った学習を利用したい場合には自分で Wheel を
Hello everyone, Asahi Lina here!✨ As you probably know, I’ve been working together with the rest of the Asahi Linux team on open source GPU drivers for Apple Silicon platforms. It’s been a wild ride! Just at the end of last year we released the first version of our drivers, after many months of reverse engineering and development. But that was only the beginning… Today we’re releasing a big update
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く
Algorithms for Modern Hardware - Algorithmica
Why We Use Julia, 10 Years Later
Python: LightGBM v4.0 の CUDA 実装を試す - CUBE SUGAR CONTAINER
Paving the Road to Vulkan on Asahi Linux - Asahi Linux