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KernelZero: Co-Evolving Proposer and Coder for Continuously Improved GPU Kernel Generation

Changxin Ke, Rui Zhang, Zixiang Fang, Zhenghong Li, Yuanbo Wen, Jiashuo Shen, Shuo Wang, Jiaming Guo, Ling Li, Qi Guo, Yunji Chen

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Tags: Computer science, CUDA, LLM, Machine learning, nVidia, nVidia A100, Package, Triton

October 4, 2026 by hgpu

AIM: Agentic Idea Management for Automated Research

Hyeong Kyu Choi, Bhavana Dalvi Mishra, Jiefeng Chen, Mihir Parmar, Rui Meng, Chun-Liang Li, Xiangru Tang, Sharon Li, Jinsung Yoon, Tomas Pfister

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Tags: Computer science, CUDA, LLM, nVidia

October 4, 2026 by hgpu

KernelOPT: Dispatch-Aware Agentic Search for GPU Kernel Optimization

Aheli Poddar, Sanskar Prasad, Arindam Samanta, Subha Chakraborty, Vishal Goyal, Rohit Singh Rathaur

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Tags: Computer science, CUBLAS, CUDA, Deep learning, LLM, nVidia, nVidia H200, Triton

September 28, 2026 by hgpu

Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures

Liam Cooper, Shinnung Jeong, Hyeran Jeon, Jeffrey Young, Hyesoon Kim

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Tags: Computer science, CUDA, Hardware Architecture, LLM, nVidia, nVidia A100, nVidia H100, nVidia L40s, Package

September 28, 2026 by hgpu

Microarchitectural Memory Bandwidth Saturation, KV-Cache Paging Dynamics, and Time-to-First-Token Latency: A Comparative Benchmark of vLLM, TensorRT-LLM, and FlashAttention-3 on NVIDIA Hopper H100 versus AMD Instinct MI300X

Kartik Kothalkar

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Tags: AMD Radeon Instinct MI300X, ATI, Benchmarking, Computer science, CUDA, LLM, nVidia, nVidia H100, Performance, ROCm

September 28, 2026 by hgpu

AutoTuneBench: Trustworthy Measurement for Agent Auto-Tuning of LLM Serving Engines

Li Chen

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Tags: Computer science, CUDA, LLM, nVidia, nVidia GB10, Package, Performance

September 20, 2026 by hgpu

Automated Instruction Encoding Synthesis for Modern GPU ISA Compression

Mingyuan Ma, Hu He

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Tags: Computer science, CUDA, Hardware Architecture, nVidia, Package, Programming Languages

September 20, 2026 by hgpu

PrefixBench-H100: Characterizing Prefix Reuse and Time-to-First-Token in H100 LLM Serving

Omkar Shewale, Deepak Kumar, Divakar Kumar Yadav

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

September 20, 2026 by hgpu

Accelerating the Solving of Many Tiny General Linear Systems on GPUs: Application to Constitutive Laws

Tristan Chenaille, Francesca Cuteri, Raphaël Prat, Guillaume Latu, Thomas Helfer

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Tags: Computer science, CUDA, Factorization, Linear Algebra, nVidia, nVidia H100

September 20, 2026 by hgpu

Taming Bitwise Behavior in GPU Kernels with Tensor Core: Black-Box Reconstruction, Compiler Enforcement, and Static Verification

Ziteng Yang, Nicholas J. Riasanovsky, Warren Deng, Vivek Sarkar

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Tags: Computer science, CUBLAS, CUDA, nVidia, nVidia GB300, nVidia H100, PTX, Triton

September 14, 2026 by hgpu

Hardware-Aware FP4 FlashAttention-4

Robert Hu

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Tags: Computer science, CUDA, nVidia, nVidia B300, nVidia GB200, Package, PTX

September 14, 2026 by hgpu

Every Kernel Is a Join: Automatic Multi-GPU Parallelism for AI Computations in Einsummable

Zhimin Ding, Chen-Kuan Liao, Chima Adiole, Brianna Barrow, Fangzhou Du, Yu Hsiao, Ge Huang, Yicheng Jin, Ismail Syed, Chris Jermaine

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Tags: AI, Computer science, CUDA, LLM, nVidia, nVidia DGX-A100, Package, Triton

September 14, 2026 by hgpu

KernelZero: Co-Evolving Proposer and Coder for Continuously Improved GPU Kernel Generation

Introduction to Computer Vision

ACT: Accelerator Compiler Toolkit

Automatically Generating ML Compiler Backends from Tensor Accelerator ISA Descriptions

pytest-gpu-proof: A Simple Pytest Extension for Local GPU Code Testing

pytest-gpu-proof: Enabling Cloud-CPU Continuous Integration for GPU Code with Local GPU Attestation

Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures

AutoTuneBench: Trustworthy Measurement for Agent Auto-Tuning of LLM Serving Engines

nvsass-disassembler

Automated Instruction Encoding Synthesis for Modern GPU ISA Compression

PrefixBench-H100: Characterizing Prefix Reuse and Time-to-First-Token in H100 LLM Serving

FP4 FlashAttention forward, backward, and TorchTitan reproduction code

Hardware-Aware FP4 FlashAttention-4

EinsummableV3 - graph-based computation with tensor operations support

Every Kernel Is a Join: Automatic Multi-GPU Parallelism for AI Computations in Einsummable

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high performance computing on graphics processing units: hgpu.org

KernelZero: Co-Evolving Proposer and Coder for Continuously Improved GPU Kernel Generation

AIM: Agentic Idea Management for Automated Research

KernelOPT: Dispatch-Aware Agentic Search for GPU Kernel Optimization

Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures

Microarchitectural Memory Bandwidth Saturation, KV-Cache Paging Dynamics, and Time-to-First-Token Latency: A Comparative Benchmark of vLLM, TensorRT-LLM, and FlashAttention-3 on NVIDIA Hopper H100 versus AMD Instinct MI300X

AutoTuneBench: Trustworthy Measurement for Agent Auto-Tuning of LLM Serving Engines

Automated Instruction Encoding Synthesis for Modern GPU ISA Compression

PrefixBench-H100: Characterizing Prefix Reuse and Time-to-First-Token in H100 LLM Serving

Accelerating the Solving of Many Tiny General Linear Systems on GPUs: Application to Constitutive Laws

Taming Bitwise Behavior in GPU Kernels with Tensor Core: Black-Box Reconstruction, Compiler Enforcement, and Static Verification

Hardware-Aware FP4 FlashAttention-4

Every Kernel Is a Join: Automatic Multi-GPU Parallelism for AI Computations in Einsummable

Recent source codes

KernelZero: Co-Evolving Proposer and Coder for Continuously Improved GPU Kernel Generation

Introduction to Computer Vision

ACT: Accelerator Compiler Toolkit

pytest-gpu-proof: A Simple Pytest Extension for Local GPU Code Testing

Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures

AutoTuneBench: Trustworthy Measurement for Agent Auto-Tuning of LLM Serving Engines

nvsass-disassembler

PrefixBench-H100: Characterizing Prefix Reuse and Time-to-First-Token in H100 LLM Serving

FP4 FlashAttention forward, backward, and TorchTitan reproduction code

EinsummableV3 - graph-based computation with tensor operations support

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