high performance computing on graphics processing units: hgpu.org

hgpu.org » Computer science

Reducing shading on GPUs using quad-fragment merging

Kayvon Fatahalian, Solomon Boulos, James Hegarty, Kurt Akeley, William R. Mark, Henry Moreton, Pat Hanrahan

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Tags: Computer science, DirectX, Rasterization, Real-time graphics, Rendering

May 13, 2011 by hgpu

Fast gain-adaptive KLT tracking on the GPU

Christopher Zach, David Gallup, Jan-Michael Frahm

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Tags: Cg, Computer science, Computer vision, CUDA, GLSL, nVidia, nVidia GeForce 7950 GX2, nVidia GeForce 8400 GS, nVidia GeForce 8800 Ultra, OpenGL, Package, Video tracking

May 12, 2011 by hgpu

An Improved Study of Physically Based Fluid Simulation on GPU

Zhizhong Tong, Qitao Huang, Jingfeng He, Junwei Han

Tags: Computer science, Fluid simulation, Physics-based simulation, Rendering

May 12, 2011 by hgpu

GPU-Based Hierarchical Computations for View Independent Visibility

Rhushabh Goradia, Prekshu Ajmera, Sharat Chandran

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Tags: Algorithms, Computer science, CUDA, nVidia, Rendering

May 12, 2011 by hgpu

Scaling IDS construction based on Non-negative Matrix factorization using GPU computing

Jan Platos, Pavel Kromer, Vaclav Snasel, Ajith Abraham

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Tags: Computer science, CUDA, Nonnegative matrix factorization, nVidia, Security

May 12, 2011 by hgpu

A GPU-based iterated tabu search for solving the quadratic 3-dimensional assignment problem

The Van Luong, Lakhdar Loukil, Nouredine Melab, El-Ghazali Talbi

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Tags: Computer science, CUDA, Metaheuristics, nVidia, nVidia GeForce 8600 M GT, Search

May 11, 2011 by hgpu

Fast GPU implementation of large scale dictionary and sparse representation based vision problems

Pradeep Nagesh, Rahul Gowda, Baoxin Li

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Tags: Computer science, Computer vision, CUDA, Image recognition, nVidia, nVidia GeForce 9800 GT

May 11, 2011 by hgpu

Where is the data? Why you cannot debate CPU vs. GPU performance without the answer

Chris Gregg, Kim Hazelwood

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Tags: Computer science, nVidia, nVidia GeForce 9800 GT, nVidia GeForce GT 330 M, nVidia GeForce GTX 480, Performance, Review, Tesla C2050

May 11, 2011 by hgpu

Differential evolution algorithm on the GPU with C-CUDA

L.P. de Veronese, R.A. Krohling

Tags: Algorithms, Computer science, CUDA, Differential evolution, Evolutionary Computations, nVidia

May 11, 2011 by hgpu

Whole-function vectorization

Ralf Karrenberg, Sebastian Hack

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Tags: Code generation, Computer science, OpenCL, Programming techniques

May 11, 2011 by hgpu

Gemma in April: A matrix-like parallel programming architecture on OpenCL

Tianji Wu, Di Wu, Yu Wang, Xiaorui Zhang, Hong Luo, Ningyi Xu, Huazhong Yang

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Tags: ATI, ATI Radeon HD 5870, Code generation, Computer science, OpenCL, Programming techniques

May 11, 2011 by hgpu

High performance memetic algorithm particle filter for multiple object tracking on modern GPUs

Raul Cabido, Antonio Montemayor, Juan Pantrigo

Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, Particle filtering, Video tracking

May 11, 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

Reducing shading on GPUs using quad-fragment merging

Fast gain-adaptive KLT tracking on the GPU

An Improved Study of Physically Based Fluid Simulation on GPU

GPU-Based Hierarchical Computations for View Independent Visibility

Scaling IDS construction based on Non-negative Matrix factorization using GPU computing

A GPU-based iterated tabu search for solving the quadratic 3-dimensional assignment problem

Fast GPU implementation of large scale dictionary and sparse representation based vision problems

Where is the data? Why you cannot debate CPU vs. GPU performance without the answer

Differential evolution algorithm on the GPU with C-CUDA

Whole-function vectorization

Gemma in April: A matrix-like parallel programming architecture on OpenCL

High performance memetic algorithm particle filter for multiple object tracking on modern 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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