high performance computing on graphics processing units: hgpu.org

hgpu.org » Computer science

High performance predictable histogramming on GPUs: exploring and evaluating algorithm trade-offs

Cedric Nugteren, Gert J. van den Braak, Henk Corporaal, Bart Mesman

Tags: Computer science, CUDA, Image processing, nVidia

May 4, 2011 by hgpu

Graphics hardware & GPU computing: past, present, and future

David Luebke

Tags: Computer science, CUDA, Games, nVidia, nVidia GeForce GTX 280, Review

May 4, 2011 by hgpu

Large data real-time classification with Non-negative Matrix Factorization and Self-Organizing Maps on GPU

J. Platos, P. Gajdos

Tags: Computer science, Nonnegative matrix factorization, Security, Self-organizing map

May 3, 2011 by hgpu

Interactive Two-sided Refraction for Dynamic Object on GPU

Shuai Li, Yujian Gao, Aimin Hao, Lili Wang

Tags: 3D Graphics and Realism, Algorithms, Computer science, Real-time graphics

May 3, 2011 by hgpu

Real-Time Animating and Rendering of Large Scale Grass Scenery on GPU

Xiangkun Zhao, Fengxia Li, Shouyi Zhan

Tags: 3D Graphics and Realism, Algorithms, Collision detection, Computer science, Real-time graphics, Rendering

May 3, 2011 by hgpu

Real-time ocean wave motion simulation based on statistic model and GPU programming

Xiaohu Ma, Zhiwei Chen, Gang Shi

Tags: 3D Graphics and Realism, Computer science, FFT, Rendering

May 3, 2011 by hgpu

Accelerating scientific applications using GPU’s

M. Taher

Tags: Bioinformatics, Biology, Computer science, CUDA, FFT, nVidia, Security, Sequence alignment

May 3, 2011 by hgpu

GPU Implementation of Extended Gaussian Mixture Model for Background Subtraction

Vu Pham, Phong Vo, Vu Thanh Hung, Le Hoai Bac

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Source codes

Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 9600 GT, Package

May 3, 2011 by hgpu

Parallel grid-based recursive Bayesian estimation using GPU for real-time autonomous navigation

Tomonari Furukawa, Benjamin Lavis, Hugh F. Durrant-Whyte

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Tags: Bayesian, Computer science, nVidia, nVidia GeForce 8800 GTS

May 3, 2011 by hgpu

Accelerating BP Neural Network-Based Image Compression by CPU and GPU Cooperation

Jinxian Lin, Jianghong Lin

Tags: Compression, Computer science, Image processing, Neural networks

May 3, 2011 by hgpu

Statistical power modeling of GPU kernels using performance counters

Hitoshi Nagasaka, Naoya Maruyama, Akira Nukada, Toshio Endo, Satoshi Matsuoka

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Tags: Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce GTX 285

May 3, 2011 by hgpu

A Framework of Large-Scale Terrain Visualization Based on GPU

Bo Li, Zhongyi Li, Cheng Wang

Tags: Computer science, Rendering, Visualization

May 3, 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

High performance predictable histogramming on GPUs: exploring and evaluating algorithm trade-offs

Graphics hardware & GPU computing: past, present, and future

Large data real-time classification with Non-negative Matrix Factorization and Self-Organizing Maps on GPU

Interactive Two-sided Refraction for Dynamic Object on GPU

Real-Time Animating and Rendering of Large Scale Grass Scenery on GPU

Real-time ocean wave motion simulation based on statistic model and GPU programming

Accelerating scientific applications using GPU’s

GPU Implementation of Extended Gaussian Mixture Model for Background Subtraction

Parallel grid-based recursive Bayesian estimation using GPU for real-time autonomous navigation

Accelerating BP Neural Network-Based Image Compression by CPU and GPU Cooperation

Statistical power modeling of GPU kernels using performance counters

A Framework of Large-Scale Terrain Visualization Based on GPU

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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