high performance computing on graphics processing units: hgpu.org

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Pedestrian Detection at Warp Speed: Exceeding 500 Detections per Second

Floris De Smedt, Kristof Van Beeck, Tinne Tuytelaars and Toon Goedeme

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 295

May 13, 2013 by hgpu

Improving Synchronization and Data Access in Parallel Programming Models

Ettore Speziale

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Tags: Computer science, CUDA, MapReduce, MPI, nVidia, OpenCL, OpenMP, Thesis

May 13, 2013 by hgpu

Programming for scientific computing on peta-scale heterogeneous parallel systems

Yang Can-qun, Wu Qiang, Tang Tao, Wang Feng, Xue Jing-ling

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Tags: Computer science, CUDA, Heterogeneous systems, Molecular dynamics, nVidia, Tesla M2050

May 13, 2013 by hgpu

A Distributed CPU-GPU Framework for Pairwise Alignments on Large-Scale Sequence Datasets

Da Li, Kittisak Sajjapongse, Huan Truong, Gavin Conant, Michela Becchi

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Tags: Bioinformatics, Biology, Computational biology, CUDA, GPU cluster, Heterogeneous systems, MPI, nVidia, nVidia Quadro FX 2000, Sequence alignment, Tesla K20

May 11, 2013 by hgpu

Exploring Computer Vision and Image Processing Algorithms in Teaching Parallel Programming

Dan Connors

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Tags: Computer science, Computer vision, CUDA, Education, Image processing, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, OpenCL

May 11, 2013 by hgpu

Parallel implementation of the wideband DOA algorithm on single core, multicore, GPU and IBM cell BE processor

Mohammad Wadood Majid, Todd E. Schmuland, Mohsin M. Jamali

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Tags: Algorithms, Cell processor, CUDA, nVidia, nVidia GeForce GTX 260, Signal processing

May 11, 2013 by hgpu

Blum Blum Shub on the GPU

Mikael Olsson, Niklas Gullberg

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce GTX 580, OpenCL, Pseudo-random number generators, Security, Thesis

May 11, 2013 by hgpu

The GPU-based High-performance Pattern-matching Algorithm for Intrusion Detection

Dongliang Xu, Hongli Zhang, Yujian Fan

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Tags: Biology, Computer science, CUDA, Information Retrieval, nVidia, nVidia GeForce 9800 GTS, nVidia GeForce GTX 570, Security, String matching

May 11, 2013 by hgpu

A portable and high-performance matrix operations library for CPUs, GPUs and beyond

Rahul Garg, Laurie Hendren

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Tags: ATI, ATI Radeon HD 5850, ATI Radeon HD 7970, Computer science, Matrix multiplication, nVidia, nVidia GeForce GT 650 M, OpenCL, Tesla C2050

May 11, 2013 by hgpu

Real-Time Object Tracking by CUDA-accelerated Neural Network

Mikhail S. Tarkov, Sergey V. Dubynin

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Tags: Algorithms, Computer science, Computer vision, CUDA, Neural networks, nVidia, nVidia GeForce 9800 GT

May 11, 2013 by hgpu

A GPU-based Parallel Fireworks Algorithm for Optimization

Ke Ding, Shaoqiu Zheng, Ying Tan

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 560 Ti, Particle swarm optimization

May 11, 2013 by hgpu

An Implementation of the Discontinuous Galerkin Method on Graphics Processing Units

Martin Fuhry

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Source codes

Tags: Computer science, CUDA, Differential equations, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 580, Package, Partial differential equations, PDEs, Thesis

May 11, 2013 by hgpu

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

DVM: Real-Time Kernel Generation for Dynamic AI Models

Agentic Code Optimization via Compiler-LLM Cooperation

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

AutoKernel: Autonomous GPU Kernel Optimization via Iterative Agent-Driven Search

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

LLM.Q: Quantized LLM training in pure CUDA/C++

LLMQ: Efficient Lower-Precision LLM Training for Consumer GPUs

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

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high performance computing on graphics processing units: hgpu.org

Pedestrian Detection at Warp Speed: Exceeding 500 Detections per Second

Improving Synchronization and Data Access in Parallel Programming Models

Programming for scientific computing on peta-scale heterogeneous parallel systems

A Distributed CPU-GPU Framework for Pairwise Alignments on Large-Scale Sequence Datasets

Exploring Computer Vision and Image Processing Algorithms in Teaching Parallel Programming

Parallel implementation of the wideband DOA algorithm on single core, multicore, GPU and IBM cell BE processor

Blum Blum Shub on the GPU

The GPU-based High-performance Pattern-matching Algorithm for Intrusion Detection

A portable and high-performance matrix operations library for CPUs, GPUs and beyond

Real-Time Object Tracking by CUDA-accelerated Neural Network

A GPU-based Parallel Fireworks Algorithm for Optimization

An Implementation of the Discontinuous Galerkin Method on Graphics Processing Units

Recent source codes

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

Agentic Code Optimization via Compiler-LLM Cooperation

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

LLM.Q: Quantized LLM training in pure CUDA/C++

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

True 4-Bit Quantized CNN Training on CPU

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

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