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ProofWright: Towards Agentic Formal Verification of CUDA

Bodhisatwa Chatterjee, Drew Zagieboylo, Sana Damani, Siva Hari, Christos Kozyrakis

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Tags: Code generation, Computer science, CUDA, LLM, nVidia

November 23, 2025 by hgpu

Inside VOLT: Designing an Open-Source GPU Compiler

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

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Tags: Code generation, Compilers, Computer science, CUDA, nVidia, OpenCL

November 23, 2025 by hgpu

PRAGMA: A Profiling-Reasoned Multi-Agent Framework for Automatic Kernel Optimization

Kelun Lei, Hailong Yang, Huaitao Zhang, Xin You, Kaige Zhang, Zhongzhi Luan, Yi Liu, Depei Qian

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Tags: Code generation, Computer science, CUDA, LLM, nVidia, nVidia A100, Performance

November 16, 2025 by hgpu

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

Zijian Zhang, Rong Wang, Shiyang Li, Yuebo Luo, Mingyi Hong, Caiwen Ding

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Tags: Code generation, Computer science, CUDA, nVidia, nVidia A100, nVidia GeForce RTX 3090, nVidia GeForce RTX 4090, nVidia RTX 6000 Ada, Package, Performance

November 9, 2025 by hgpu

A Compute Graph Simulation and Implementation Framework Targeting AMD Versal AI Engines

Jonathan Strobl, Leonardo Solis-Vasquez, Yannick Lavan, Andreas Koch

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Tags: AI, AMD, Code generation, Computer science, FPGA

October 26, 2025 by hgpu

STARK: Strategic Team of Agents for Refining Kernels

Juncheng Dong, Yang Yang, Tao Liu, Yang Wang, Feng Qi, Vahid Tarokh, Kaushik Rangadurai, Shuang Yang

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Tags: Benchmarking, Code generation, Computer science, LLM, nVidia, nVidia A100

October 26, 2025 by hgpu

Tutoring LLM into a Better CUDA Optimizer

Matyáš Brabec, Jiří Klepl, Michal Töpfer, Martin Kruliš

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Tags: Code generation, Computer science, CUDA, LLM, nVidia, nVidia A100, nVidia H100, nVidia V100, Package

October 26, 2025 by hgpu

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation

Lingcheng Kong, Jiateng Wei, Hanzhang Shen, Huan Wang

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Tags: AI, Code generation, Computer science, CUDA, Deep learning, LLM, Machine learning, nVidia, Package

October 12, 2025 by hgpu

EvoEngineer: Mastering Automated CUDA Kernel Code Evolution with Large Language Models

Ping Guo, Chenyu Zhu, Siyuan Chen, Fei Liu, Xi Lin, Zhichao Lu, Qingfu Zhang

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Tags: AI, Code generation, Computer science, CUDA, Deep learning, LLM, nVidia, nVidia GeForce RTX 4090, nVidia H100, PyTorch

October 12, 2025 by hgpu

VibeCodeHPC: An Agent-Based Iterative Prompting Auto-Tuner for HPC Code Generation Using LLMs

Shun-ichiro Hayashi, Koki Morita, Daichi Mukunoki, Tetsuya Hoshino, Takahiro Katagiri

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Tags: AI, Code generation, Computer science, CUDA, HPC, LLM, nVidia, OpenACC, OpenMP, Package, Tesla V100

October 5, 2025 by hgpu

Towards GPU Parallelism Abstractions in Rust: A Case Study with Linear Pipelines

Leonardo Gibrowski Faé, Dalvan Griebler

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Tags: Code generation, Computer science, CUDA, nVidia, nVidia GeForce RTX 3090, OpenCL, Rust, Tesla M40

September 28, 2025 by hgpu

BePilot: An AI Programming Assistant for Compiler Backend Development

Ming Zhong, Xin Sun, Fang Lv, Lulin Wang, Hongna Geng, Lei Qiu, Huimin Cui, Xiaobing Feng

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Tags: AI, Code generation, Compilers, Computer science, LLM, nVidia, nVidia A100, nVidia V100

August 31, 2025 by hgpu

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

Iris: First-Class Multi-GPU Programming Experience in Triton

HipKittens: Fast and Furious AMD Kernels

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

pplx-garden: Perplexity open source garden for inference technology

RDMA Point-to-Point Communication for LLM Systems

LC Framework

Characterizing the Performance of Parallel Data-Compression Algorithms across Compilers and GPUs

OpScanner

A Study of Floating-Point Precision Tuning in Deep Learning Operators Implementations

Atlas CLI: Machine Learning (ML) Lifecycle & Transparency Manager

Scalable GPU-Based Integrity Verification for Large Machine Learning Models

See all packages

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high performance computing on graphics processing units: hgpu.org

ProofWright: Towards Agentic Formal Verification of CUDA

Inside VOLT: Designing an Open-Source GPU Compiler

PRAGMA: A Profiling-Reasoned Multi-Agent Framework for Automatic Kernel Optimization

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

A Compute Graph Simulation and Implementation Framework Targeting AMD Versal AI Engines

STARK: Strategic Team of Agents for Refining Kernels

Tutoring LLM into a Better CUDA Optimizer

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation

EvoEngineer: Mastering Automated CUDA Kernel Code Evolution with Large Language Models

VibeCodeHPC: An Agent-Based Iterative Prompting Auto-Tuner for HPC Code Generation Using LLMs

Towards GPU Parallelism Abstractions in Rust: A Case Study with Linear Pipelines

BePilot: An AI Programming Assistant for Compiler Backend Development

Recent source codes

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

mt4g: Memory Topology 4 GPUs

Falcon: GPU-Based Floating-point Adaptive Lossless Compression

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

pplx-garden: Perplexity open source garden for inference technology

LC Framework

OpScanner

Atlas CLI: Machine Learning (ML) Lifecycle & Transparency Manager

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