high performance computing on graphics processing units: hgpu.org

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Accelerating Live Graph-Cut-Based Object Tracking Using CUDA

Ismael Daribo, Zachary A. Garrett, Yuki Takaya, Hideo Saito

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

December 14, 2011 by hgpu

Voxelized Minkowski sum computation on the GPU with robust culling

Wei Li, Sara McMains

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Tags: Algorithms, CAD, Computer science, CUDA, Floating point error, nVidia, nVidia Quadro FX 5800, Voxelization

December 14, 2011 by hgpu

Automatic library generation for BLAS3 on GPUs

Huimin Cui, Lei Wang, Jingling Xue, Yang Yang, Xiaobing Feng

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Tags: Algorithms, Computer science, CUBLAS, Linear Algebra, nVidia, nVidia GeForce 9800 GTX, nVidia GeForce GTX 285, Optimization, Tesla C2050

December 13, 2011 by hgpu

Developing an OO Model for Generalized Matrix Multiplication: Preliminary Considerations

Maria Ganzha, Marcin Paprzycki, Stanislav G. Sedukhin

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Tags: Algorithms, Computer science, Linear Algebra, Matrix multiplication

December 13, 2011 by hgpu

Collision-Driven Volumetric Deformation on the GPU

G. Aldrich, D. Pinskiy, B. Hamann

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 460

December 13, 2011 by hgpu

Divergence Analysis with Affine Constraints

Diogo Sampaio, Rafael Martins, Fernando Magno Quintao Pereira, Sylvain Collange

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 570, Optimization, Package, PTX

December 13, 2011 by hgpu

Graphics Processing Units: More Than the Pathway to Realistic Video-Games

Carlos Trujillo, Jorge Garcia-Sucerquia

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Tags: Computer holography, Computer science, CUDA, nVidia, nVidia GeForce 9800 GT

December 13, 2011 by hgpu

Design and study of a massively multi threaded shared memory architecture

Christophe Riolo

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Tags: Algorithms, Computer science, CUDA, Memory, nVidia, Tesla C2070, Thesis

December 12, 2011 by hgpu

A Rigid Body Physics Engine for Interactive Applications

Marco Santos Souza, Tiago de H. C. Nobrega, Andre Ferreira Bem Silva, Diego D. B. Carvalho

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Tags: Collision detection, Computer science, Interactive application, nVidia, nVidia GeForce 9600 GT, OpenGL

December 12, 2011 by hgpu

Parallel Evaluation of a Spatial Traversability Cost Function on GPU for Efficient Path Planning

Stephen Cossell, Jose Guivant

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Tags: Algorithms, ATI, ATI Radeon HD 2400 XT, Computer science, GLSL, nVidia, nVidia GeForce GTX 480, OpenGL, Path problems

December 12, 2011 by hgpu

GPU Programming in a High Level Language: Compiling X10 to CUDA

Dave Cunningham, Rajesh Bordawekar, Vijay Saraswat

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Tags: Benchmarking, Computer science, CUDA, Heterogeneous systems, High-level Languages, nVidia, nVidia Quadro FX 3700 M, OpenCL, Tesla C1060, Tesla S1070

December 12, 2011 by hgpu

A fast and intuitive visual programming language (VPL) for constructing Computer Vision and Image processing systems on GPUs

Tejas D Kulkarni

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Tags: Algorithms, Computer science, Computer vision, CUDA, Image processing, nVidia, Optical flow

December 12, 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 Live Graph-Cut-Based Object Tracking Using CUDA

Voxelized Minkowski sum computation on the GPU with robust culling

Automatic library generation for BLAS3 on GPUs

Developing an OO Model for Generalized Matrix Multiplication: Preliminary Considerations

Collision-Driven Volumetric Deformation on the GPU

Divergence Analysis with Affine Constraints

Graphics Processing Units: More Than the Pathway to Realistic Video-Games

Design and study of a massively multi threaded shared memory architecture

A Rigid Body Physics Engine for Interactive Applications

Parallel Evaluation of a Spatial Traversability Cost Function on GPU for Efficient Path Planning

GPU Programming in a High Level Language: Compiling X10 to CUDA

A fast and intuitive visual programming language (VPL) for constructing Computer Vision and Image processing systems on GPUs

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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