high performance computing on graphics processing units: hgpu.org

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Pseudorandom number generation on the GPU

Myles Sussman, William Crutchfield, Matthew Papakipos

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Tags: Algorithms, ATI, ATI Radeon X1900, Computer science, DirectX, HLSL, Presentation, Pseudo-random number generators

March 11, 2011 by hgpu

Multi Agent Navigation on the GPU

Avi Bleiweiss

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Tags: Artificial intelligence, Computer science, CUDA, Games, Hashing, nVidia, nVidia GeForce GTX 280, Search strategies

March 11, 2011 by hgpu

Real-time human detection using histograms of oriented gradients on a GPU

Kirt Lillywhite, Dah-Jye Lee, Dong Zhang

Tags: Computer science, Computer vision, CUDA, Image recognition, nVidia

March 11, 2011 by hgpu

Tabu Search with two approaches to parallel flowshop evaluation on CUDA platform

Michal Czapinski, Stuart Barnes

Tags: Algorithms, Computer science, CUDA, Genetic programming, nVidia

March 10, 2011 by hgpu

Skeletal rigid skinning with blending patches on the GPU

Andreas Vasilakis, Ioannis Fudos

Tags: Computer science, GLSL, nVidia, nVidia GeForce 8800 Ultra, OpenGL, Real-time graphics

March 10, 2011 by hgpu

Implementing Ultrasound Beamforming on the GPU using CUDA

Lars Gronvold

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Tags: Computer science, CUDA, nVidia, Tesla C870, Thesis, Ultrasound

March 10, 2011 by hgpu

Real-Time Crowd Rendering and Interactions on GPU

Zhang Yong, Yin Bao-Cai, Kong De-Hui, Yang Guang-Wei

Tags: 3D Graphics and Realism, Computer science, Rendering, Virtual reality

March 10, 2011 by hgpu

A GPU-enhanced cluster for accelerated FMS

Dan M Davis, Robert F Lucas, Gene Wagenbreth, John J Tran, James R Moore

Tags: 3D Graphics and Realism, Algorithms, Computer science

March 10, 2011 by hgpu

Realtime phase-based optical flow on the GPU

K Pauwels, M M Van Hulle

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 8800 GTX, Optical flow

March 10, 2011 by hgpu

An Efficient SAR Processor Based on GPU via CUDA

Bin Liu, Kaizhi Wang, Xingzhao Liu, Wenxian Yu

Tags: CUDA, nVidia, Signal processing

March 10, 2011 by hgpu

Using a GPU to accelerate die and mold fabrication

Masatomo Inui, Atsushi Ohta

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Tags: Algorithms, CAD, Computer science

March 10, 2011 by hgpu

A Predictive Shutdown Technique for GPU Shader Processors

Po-Han Wang, Yen-Ming Chen, Chia-Lin Yang, Yu-Jung Cheng

Tags: Computer science, Energy-efficient computing, Hardware Architecture

March 10, 2011 by hgpu

Agentic Code Optimization via Compiler-LLM Cooperation

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

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

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

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

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high performance computing on graphics processing units: hgpu.org

Applications

Pseudorandom number generation on the GPU

Multi Agent Navigation on the GPU

Real-time human detection using histograms of oriented gradients on a GPU

Tabu Search with two approaches to parallel flowshop evaluation on CUDA platform

Skeletal rigid skinning with blending patches on the GPU

Implementing Ultrasound Beamforming on the GPU using CUDA

Real-Time Crowd Rendering and Interactions on GPU

A GPU-enhanced cluster for accelerated FMS

Realtime phase-based optical flow on the GPU

An Efficient SAR Processor Based on GPU via CUDA

Using a GPU to accelerate die and mold fabrication

A Predictive Shutdown Technique for GPU Shader Processors

Recent source codes

Agentic Code Optimization via Compiler-LLM Cooperation

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

Device Virtual Machine (DVM)

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

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

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

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

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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