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ParallelKittens: Systematic and Practical Simplification of Multi-GPU AI Kernels

Stuart H. Sul, Simran Arora, Benjamin F. Spector, Christopher Ré

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia B200, nVidia H100, Package

November 30, 2025 by hgpu

HipKittens: Fast and Furious AMD Kernels

William Hu, Drew Wadsworth, Sean Siddens, Stanley Winata, Daniel Y. Fu, Ryann Swann, Muhammad Osama, Christopher Ré, Simran Arora

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Tags: AMD Radeon Instinct MI355X, ATI, Computer science, nVidia, nVidia B200, Package, Performance

November 16, 2025 by hgpu

Architecting Tensor Core-Based Reductions for Irregular Molecular Docking Kernels

Leonardo Solis-Vasquez, Andreas F. Tillack, Diogo Santos-Martins, Andreas Koch, Stefano Forli

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Tags: Chemistry, Computer science, CUDA, Deep learning, Matrix multiplication, nVidia, nVidia A100, nVidia B200, nVidia H100, Package

October 26, 2025 by hgpu

FLASH: Fast All-to-All Communication in GPU Clusters

Yiran Lei, Dongjoo Lee, Liangyu Zhao, Daniar Kurniawan, Chanmyeong Kim, Heetaek Jeong, Changsu Kim, Hyeonseong Choi, Liangcheng Yu, Arvind Krishnamurthy, Justine Sherry, Eriko Nurvitadhi

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Tags: AMD Radeon Instinct MI300X, ATI, Computer science, GPU cluster, Heterogeneous systems, MPI, nVidia, nVidia A100, nVidia B200, nVidia H100

May 25, 2025 by hgpu

Harness Engineering for LLM-Driven GPU Kernel Generation

CANNBot Skills

Compiler-Grounded Hierarchical Diagnosis for LLM-Based Triton Kernel Optimization

NVIDIA Object Oriented Agents

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents

UniCoder: Unified Visual-to-Code Generation via Symbolic Rewards and Reference-Guided Code Optimization

CuFuzz: An API-Knowledge-Graph Coverage-Driven Fuzzing Framework for CUDA Libraries

AutoPass: Evidence-Guided LLM Agents for Compiler Performance Tuning

Probe-and-Refine Tuning of Repository Guidance for AI Coding Agents

Probe-and-Refine Tuning of Repository Guidance for Coding Agents

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high performance computing on graphics processing units: hgpu.org

ParallelKittens: Systematic and Practical Simplification of Multi-GPU AI Kernels

HipKittens: Fast and Furious AMD Kernels

Architecting Tensor Core-Based Reductions for Irregular Molecular Docking Kernels

FLASH: Fast All-to-All Communication in GPU Clusters

Recent source codes

TensorCorePTX: PTX Tensor Core GEMM Exploration

FlashPDE: Triton-fused PDE stencil kernels for physics-informed neural networks

PortLBM: Portable GPU-accelerated Lattice Boltzmann Method Simulations

Harness Engineering for LLM-Driven GPU Kernel Generation

CANNBot Skills

NVIDIA Object Oriented Agents

UniCoder: Unified Visual-to-Code Generation via Symbolic Rewards and Reference-Guided Code Optimization

CuFuzz: An API-Knowledge-Graph Coverage-Driven Fuzzing Framework for CUDA Libraries

AutoPass: Evidence-Guided LLM Agents for Compiler Performance Tuning

Probe-and-Refine Tuning of Repository Guidance for AI Coding Agents

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