high performance computing on graphics processing units: hgpu.org

Changxin Ke, Rui Zhang, Shuo Wang, Li Ding, Guangli Li, Yuanbo Wen, Shuoming Zhang, Ruiyuan Xu, Jin Qin, Jiaming Guo, Chenxi Wang, Ling Li, Qi Guo, Yunji Chen

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Tags: Code generation, Computer science, CUDA, HPC, LLM, Machine learning, nVidia, nVidia A100, nVidia GeForce RTX 4090, Package

July 13, 2025 by hgpu

P4OMP: Retrieval-Augmented Prompting for OpenMP Parallelism in Serial Code

Wali Mohammad Abdullah, Azmain Kabir

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Tags: Code generation, Computer science, HPC, LLM, OpenMP, Software Engineering

July 6, 2025 by hgpu

ParEval-Repo: A Benchmark Suite for Evaluating LLMs with Repository-level HPC Translation Tasks

Joshua H. Davis, Daniel Nichols, Ishan Khillan, Abhinav Bhatele

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Tags: Benchmarking, Code generation, Computer science, CUDA, LLM, nVidia, nVidia A100, OpenMP, Package

July 6, 2025 by hgpu

CUDA-LLM: LLMs Can Write Efficient CUDA Kernels

Wentao Chen, Jiace Zhu, Qi Fan, Yehan Ma, An Zou

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Tags: Artificial intelligence, Code generation, Computer sceince, CUDA, LLM, nVidia, nVidia GeForce GTX 1660, nVidia GeForce RTX 3090 Ti

June 15, 2025 by hgpu

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

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

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

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

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

* * *

high performance computing on graphics processing units: hgpu.org

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

ConTraPh: Contrastive Learning for Parallelization and Performance Optimization

NPUEval: Optimizing NPU Kernels with LLMs and Open Source Compilers

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Mutual-Supervised Learning for Sequential-to-Parallel Code Translation

P4OMP: Retrieval-Augmented Prompting for OpenMP Parallelism in Serial Code

ParEval-Repo: A Benchmark Suite for Evaluating LLMs with Repository-level HPC Translation Tasks

CUDA-LLM: LLMs Can Write Efficient CUDA Kernels

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Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

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