high performance computing on graphics processing units: hgpu.org

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Accelerating Genetic Programming through Graphics Processing Units

Wolfgang Banzhaf, Simon Harding, William B. Langdon and Garnett Wilson

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Tags: Computer science, Genetic programming, HLSL, nVidia, nVidia GeForce 8800 GTX, RapidMind, Xbox 360

January 21, 2011 by hgpu

A Many Threaded CUDA Interpreter for Genetic Programming

William B. Langdon

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Tags: Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 295, Package

January 21, 2011 by hgpu

Large Scale Bioinformatics Data Mining with Parallel Genetic Programming on Graphics Processing Units

William B. Langdon

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Tags: Computer science, Genetic programming, nVidia, nVidia GeForce 8800 GTX, OpenGL, Package, RapidMind

January 21, 2011 by hgpu

Radiometric Compensation through Inverse Light Transport

Gordon Wetzstein, Oliver Bimber

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce 7900 GTX

January 20, 2011 by hgpu

Contouring for Power Systems Using Graphical Processing Units

Joseph Euzebe Tate, Thomas J. Overbye

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Tags: Computational Engineering, Computer science, nVidia, nVidia GeForce 7600 GT, OpenGL

January 20, 2011 by hgpu

SPRAT: Runtime processor selection for energy-aware computing

Hiroyuki Takizawa, Katsuto Sato, Hiroaki Kobayashi

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Tags: Computer science, CUDA, Energy-efficient computing, High-level Languages, nVidia, nVidia GeForce 8800 GTX

January 20, 2011 by hgpu

Real-Time GPU-Based Voxel Carving with Systematic Occlusion Handling

Alexander Schick, Rainer Stiefelhagen

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia Quadro NVS 290, Pattern recognition

January 20, 2011 by hgpu

Fast development of dense linear algebra codes on graphics processors

M. Jesus Zafont, Alberto F. Martin, Francisco Igual, Enrique S. Quintana-Orti

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Tags: Computer science, CUBLAS, CUDA, Linear Algebra, nVidia, nVidia GeForce 8800 Ultra

January 20, 2011 by hgpu

Direct N-body Kernels for Multicore Platforms

Nitin Arora, Aashay Shringarpure, Richard W. Vuduc

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Tags: Computer science, CUDA, N-body simulation, nVidia, Tesla C1060, Tesla C870

January 20, 2011 by hgpu

Motion Estimation with Non-Local Total Variation Regularization

Manuel Werlberger, Thomas Pock, Horst Bischof

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 280, Optical flow

January 20, 2011 by hgpu

Graph Analysis with High-Performance Computing

Bruce Hendrickson, Jonathan W. Berry

Tags: Computer science, Graph theory, Networks, Performance

January 20, 2011 by hgpu

TEDI: efficient shortest path query answering on graphs

Fang Wei

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Tags: Algorithms, Computer science, Networks, Path problems, Search

January 20, 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

Accelerating Genetic Programming through Graphics Processing Units

A Many Threaded CUDA Interpreter for Genetic Programming

Large Scale Bioinformatics Data Mining with Parallel Genetic Programming on Graphics Processing Units

Radiometric Compensation through Inverse Light Transport

Contouring for Power Systems Using Graphical Processing Units

SPRAT: Runtime processor selection for energy-aware computing

Real-Time GPU-Based Voxel Carving with Systematic Occlusion Handling

Fast development of dense linear algebra codes on graphics processors

Direct N-body Kernels for Multicore Platforms

Motion Estimation with Non-Local Total Variation Regularization

Graph Analysis with High-Performance Computing

TEDI: efficient shortest path query answering on graphs

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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