high performance computing on graphics processing units: hgpu.org

Matthew Becker, Yifei Chen, Nicholas Cochran, Pouyan Ghasemi, Abhishek Gulati, Mark Harman, Zachary Haluza, Mehrdad Honarkhah, Herve Robert, Jiacheng Liu, Weini Liu, Sreeja Thummala, Xiaoning Yang, Rui Xin, Sophie Zeng

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Tags: Computer science, LLM

February 8, 2026 by hgpu

Inside VOLT: Designing an Open-Source GPU Compiler (Tool)

Shinnung Jeong, Chihyo Ahn, Huanzhi Pu, Jisheng Zhao, Hyesoon Kim, Blaise Pascal Tine

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Tags: Compilers, Computer science, CUDA, FPGA, nVidia, OpenCL, Package

February 8, 2026 by hgpu

Dr. Kernel: Reinforcement Learning Done Right for Triton Kernel Generations

Wei Liu, Jiawei Xu, Yingru Li, Longtao Zheng, Tianjian Li, Qian Liu, Junxian He

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Tags: Computer science, CUDA, LLM, nVidia, nVidia H100, Package, Triton

February 8, 2026 by hgpu

Accelerating Scientific Research with Gemini: Case Studies and Common Techniques

David P. Woodruff, Vincent Cohen-Addad, Lalit Jain, Jieming Mao, Song Zuo, MohammadHossein Bateni, Simina Branzei, Michael P. Brenner, Lin Chen, Ying Feng, Lance Fortnow, Gang Fu, Ziyi Guan, Zahra Hadizadeh, Mohammad T. Hajiaghayi, Mahdi JafariRaviz, Adel Javanmard, Karthik C. S., Ken-ichi Kawarabayashi, Ravi Kumar, Silvio Lattanzi, Euiwoong Lee, Yi Li, Ioannis Panageas, Dimitris Paparas, Benjamin Przybocki, Bernardo Subercaseaux, Ola Svensson, Shayan Taherijam, Xuan Wu, Eylon Yogev, Morteza Zadimoghaddam, Samson Zhou, Vahab Mirrokni

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Tags: Computer science, LLM, Physics, Review

February 8, 2026 by hgpu

SciDef: Automating Definition Extraction from Academic Literature with Large Language Models

Filip Kučera, Christoph Mandl, Isao Echizen, Radu Timofte, Timo Spinde

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Tags: Computer science, Data mining, LLM, NLP, Package

February 8, 2026 by hgpu

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

KernelGYM & Dr. Kernel: A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations

Dr. Kernel: Reinforcement Learning Done Right for Triton Kernel Generations

high performance computing on graphics processing units: hgpu.org

Improving Code Generation via Small Language Model-as-a-judge

Execution-Centric Characterization of FP8 Matrix Cores, Asynchronous Execution, and Structured Sparsity on AMD MI300A

Improving HPC Code Generation Capability of LLMs via Online Reinforcement Learning with Real-Machine Benchmark Rewards

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

Deep Kernel Fusion for Transformers

HetCCL: Accelerating LLM Training with Heterogeneous GPUs

Scaling GPU-to-CPU Migration for Efficient Distributed Execution on CPU Clusters

Just-in-Time Catching Test Generation at Meta

Inside VOLT: Designing an Open-Source GPU Compiler (Tool)

Dr. Kernel: Reinforcement Learning Done Right for Triton Kernel Generations

Accelerating Scientific Research with Gemini: Case Studies and Common Techniques

SciDef: Automating Definition Extraction from Academic Literature with Large Language Models

Recent source codes

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

KernelGYM & Dr. Kernel: A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations

Vortex-Optimized Light-weight Toolchain (VOLT)

SciDef: Automated Definition Extraction from Scientific Literature

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Awesome LLM-Driven Kernel Generation

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