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hgpu.org » Applications » Computer science

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

An MLIR pipeline for offloading Fortran to FPGAs via OpenMP

Gabriel Rodriguez-Canal, David Katz, Nick Brown

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Tags: Computer science, Fortran, FPGA, Heterogeneous systems, HLS, HPC, LLVM, OpenMP, Package

November 16, 2025 by hgpu

MT4G: A Tool for Reliable Auto-Discovery of NVIDIA and AMD GPU Compute and Memory Topologies

Stepan Vanecek, Manuel Walter Mussbacher, Dominik Groessler, Urvij Saroliya, Martin Schulz

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Tags: AMD Radeon Instinct MI100, AMD Radeon Instinct MI210, AMD Radeon Instinct MI300X, ATI, Benchmarking, Computer science, CUDA, HIP, nVidia, nVidia A100, nVidia GeForce RTX 2080, nVidia H100, nVidia Quadro P 6000, nVidia V100, Package, PTX

November 16, 2025 by hgpu

A High-Throughput GPU Framework for Adaptive Lossless Compression of Floating-Point Data

Zheng Li, Weiyan Wang, Ruiyuan Li, Chao Chen, Xianlei Long, Linjiang Zheng, Quanqing Xu, Chuanhui Yang

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Tags: Algorithms, Compression, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce RTX 5080, Package

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

RDMA Point-to-Point Communication for LLM Systems

Nandor Licker, Kevin Hu, Vladimir Zaytsev, Lequn Chen

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Tags: Computer science, CUDA, LLM, nVidia, nVidia H200, Package, Performance, RDMA

November 9, 2025 by hgpu

AMD MI300X GPU Performance Analysis

Chandrish Ambati, Trung Diep

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

November 9, 2025 by hgpu

FP8-Flow-MoE: A Casting-Free FP8 Recipe without Double Quantization Error

Fengjuan Wang, Zhiyi Su, Xingzhu Hu, Cheng Wang, Mou Sun

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Tags: Artificial intelligence, Computer science, Machine learning, nVidia, nVidia H100

November 9, 2025 by hgpu

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

Brandon Alexander Burtchell, Martin Burtscher

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Tags: Algorithms, Compilers, Compression, Computer science, CUDA, HIP, nVidia, nVidia GeForce GTX Titan V, nVidia GeForce RTX 3080 Ti, nVidia GeForce RTX 4090, Package

November 9, 2025 by hgpu

Enhancing Transformer Performance and Portability through Auto-tuning Frameworks

Patricia Siwinska,Jie Lei,Adrian Castello,Pedro Alonso-Jord́a,Enrique S. Quintana-Orti

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Tags: Auto-Tuning, Computer science, CUDA, Deep learning, Heterogeneous systems, LLM, nVidia, nVidia A100, Package, performance portability

November 2, 2025 by hgpu

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

Zhongzhen Wen, Hongyu Liu, Tingwei Zhu, Minxue Pan, Shaohua Wang, Yuanyi Lin, Kairui Liu, Tian Zhang, Xuandong Li

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Tags: Computer science, CUDA, Deep learning, nVidia, Package, PyTorch

November 2, 2025 by hgpu

Scalable GPU-Based Integrity Verification for Large Machine Learning Models

Marcin Spoczynski, Marcela S. Melara

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Tags: Computer science, Machine learning, nVidia, oneAPI, Package, PyTorch, Rust, Security, SYCL

November 2, 2025 by hgpu

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

BioAgent Bench: An AI Agent Evaluation Suite for Bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

Private LLM Inference on Consumer Blackwell GPUs: A Practical Guide for Cost-Effective Local Deployment in SMEs

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

Generating Literature-Driven Scientific Theories at Scale

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

Nsight Python: A Python-First Profiling Toolkit for Seamless GPU Kernel Analysis (Tool)

Awesome LLM-Driven Kernel Generation

Towards Automated Kernel Generation in the Era of LLMs

PhysProver: Advancing Automatic Theorem Proving for Physics

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

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high performance computing on graphics processing units: hgpu.org

Applications

HipKittens: Fast and Furious AMD Kernels

An MLIR pipeline for offloading Fortran to FPGAs via OpenMP

MT4G: A Tool for Reliable Auto-Discovery of NVIDIA and AMD GPU Compute and Memory Topologies

A High-Throughput GPU Framework for Adaptive Lossless Compression of Floating-Point Data

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

RDMA Point-to-Point Communication for LLM Systems

AMD MI300X GPU Performance Analysis

FP8-Flow-MoE: A Casting-Free FP8 Recipe without Double Quantization Error

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

Enhancing Transformer Performance and Portability through Auto-tuning Frameworks

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

Scalable GPU-Based Integrity Verification for Large Machine Learning Models

Recent source codes

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

PhysProver: Advancing Automatic Theorem Proving for Physics

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

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