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Fast and Efficient Dense Variational Stereo on GPU

Julien Mairal, Renaud Keriven, Alexandre Chariot

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Tags: Cg, Computer science, Image generation, nVidia, nVidia GeForce 7800 GTX, OpenGL, Visualization

December 23, 2010 by hgpu

Iterative Methods for Visualization of Implicit Surfaces On GPU

Rodrigo de Toledo, Bruno Levy, Jean-Claude

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce 7900, Rendering, Shaders, Visualization

December 23, 2010 by hgpu

Parallel 3D Image Segmentation of Large Data Sets on a GPU Cluster

Aaron Hagan, Ye Zhao

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Tags: CUDA, GPU cluster, Image processing, nVidia, nVidia GeForce 8800 GTX

December 23, 2010 by hgpu

Tabu Search on GPU

Adam Janiak, Wladyslaw A. Janiak, Maciej Lichtenstein

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Tags: Algorithms, Computer science, DirectX, HLSL, nVidia, nVidia GeForce 7300 GT, nVidia GeForce 8600 GT, Search

December 23, 2010 by hgpu

GPU Rendering of Secondary Effects

Kai Burger, Stefan Hertel, Jens Kruger, Rudiger Westermann

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Tags: 3D Graphics and Realism, Algorithms, Computer science, DirectX, nVidia, nVidia GeForce 8800 GTX, Rendering

December 22, 2010 by hgpu

Parallel Branch Prediction on GPU Platform

Liqiang He, Guangyong Zhang

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 9600 GT, Programming techniques

December 22, 2010 by hgpu

Real-Time Tracking with Non-Rigid Geometric Templates Using the GPU

Julius Fabian Ohmer, Frederic Maire, Ross Brown

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Tags: Image processing, nVidia, nVidia GeForce 6800, OpenGL, Video tracking

December 22, 2010 by hgpu

Generating massive high-quality random numbers using GPU

Wai-Man Pang, Tien-Tsin Wong, Pheng-Ann Heng

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Tags: Algorithms, Cg, Computer science, nVidia, nVidia GeForce 7800 GTX, Pseudo-random number generators

December 22, 2010 by hgpu

Design and implementation of the Smith-Waterman algorithm on the CUDA-compatible GPU

Yuma Munekawa, Fumihiko Ino, Kenichi Hagihara

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Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce 8800 GTX, Smith-Waterman algorithm

December 22, 2010 by hgpu

Experiences with Cell-BE and GPU for Tomography

Sander van der Maar, Kees Joost Batenburg, Jan Sijbers

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Tags: Cell processor, Computed tomography, CT, CUDA, Image processing, Image reconstruction, Medicine, nVidia, nVidia GeForce 9800 GX2

December 22, 2010 by hgpu

Real-Time Online Video Object Silhouette Extraction Using Graph Cuts on the GPU

Zachary A. Garrett, Hideo Saito

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GTX 280, Real-time graphics, Video tracking

December 22, 2010 by hgpu

Pushing the Envelope: Extreme Network Coding on the GPU

Hassan Shojania, Baochun Li

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Performance, Programming techniques

December 22, 2010 by hgpu

Allo: Accelerator Design Language

Dato: A Task-Based Programming Model for Dataflow Accelerators

Towards Robust Agentic CUDA Kernel Benchmarking, Verification, and Optimization

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Accelerating a Linear Programming Algorithm on AMD GPUs

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

See all packages

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high performance computing on graphics processing units: hgpu.org

Fast and Efficient Dense Variational Stereo on GPU

Iterative Methods for Visualization of Implicit Surfaces On GPU

Parallel 3D Image Segmentation of Large Data Sets on a GPU Cluster

Tabu Search on GPU

GPU Rendering of Secondary Effects

Parallel Branch Prediction on GPU Platform

Real-Time Tracking with Non-Rigid Geometric Templates Using the GPU

Generating massive high-quality random numbers using GPU

Design and implementation of the Smith-Waterman algorithm on the CUDA-compatible GPU

Experiences with Cell-BE and GPU for Tomography

Real-Time Online Video Object Silhouette Extraction Using Graph Cuts on the GPU

Pushing the Envelope: Extreme Network Coding on the GPU

Recent source codes

Allo: Accelerator Design Language

Towards Robust Agentic CUDA Kernel Benchmarking, Verification, and Optimization

HPC Benchmark Survey

HDM: Home made Diffusion Models

General Matrix Multiplication (GEMM)

CrossTL: Universal Programming Language & Translator

TBD-GPU

DG-SWEM - The Discontinuous Galerkin Shallow Water Equation Model

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

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