high performance computing on graphics processing units: hgpu.org

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AES Encryption Implementation and Analysis on Commodity Graphics Processing Units

Owen Harrison, John Waldron

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Tags: Computer science, nVidia, nVidia GeForce 6600 GT, nVidia GeForce 7900 GT, OpenGL, Security

December 6, 2010 by hgpu

Multi-fragment effects on the GPU using the k-buffer

Louis Bavoil, Steven P. Callahan, Aaron Lefohn, Ao, Claudio T. Silva

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Tags: Computer science, GLSL, Image generation, nVidia, nVidia GeForce 7900 GTX, OpenGL, Rendering

December 6, 2010 by hgpu

Real-time hair simulation on GPU with a dynamic wisp model

Oshita, Masaki

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

December 6, 2010 by hgpu

Dynamic deformation textures: GPU-accelerated simulation of deformable models in contact

Nico Galoppo, Miguel A. Otaduy, Paul Mecklenburg, Markus Gross, Ming C. Lin

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce 7800

December 6, 2010 by hgpu

Towards multi-GPU support for visualization

John D. Owens

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Tags: Computer science, CUDA, nVidia, Visualization

December 6, 2010 by hgpu

Using Graphics Hardware for Enhancing Edge and Circle Detection

Antonio Ruiz, Manuel Ujaldon, Nicolas Guil

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Tags: Cg, Computer vision, Image processing, nVidia, nVidia GeForce 7950 GX2, OpenGL

December 5, 2010 by hgpu

GPU architecture overview

John Owens

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Tags: Computer science, Hardware, Presentation, Review

December 5, 2010 by hgpu

Visibility Sampling on GPU and Applications

Eisemann, Elmar, Decoret, Xavier

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Tags: Algorithms, Computer science, Visualization

December 5, 2010 by hgpu

GPU physics

Mark Harris

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Tags: Computer science, CUDA, nVidia, OpenGL, Presentation, Review

December 5, 2010 by hgpu

Algorithmic Differentiation: Application to Variational Problems in Computer Vision

Thomas Pock, Michael Pock, Horst Bischof

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Tags: Algorithms, Computer vision, Image processing

December 5, 2010 by hgpu

Fast continuous collision detection among deformable models using graphics processors

Naga K. Govindaraju, Ilknur Kabul, Ming C. Lin, Dinesh Manocha

Tags: Collision detection, Computer science, nVidia, nVidia GeForce 7800

December 5, 2010 by hgpu

Cache-efficient numerical algorithms using graphics hardware

Naga K. Govindaraju, Dinesh Manocha

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Tags: Computer science, Memory model, nVidia, nVidia GeForce 6800 Ultra, nVidia GeForce 7900 GTX, nVidia GeForce 8800 GTX, OpenGL

December 5, 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

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high performance computing on graphics processing units: hgpu.org

Applications

AES Encryption Implementation and Analysis on Commodity Graphics Processing Units

Multi-fragment effects on the GPU using the k-buffer

Real-time hair simulation on GPU with a dynamic wisp model

Dynamic deformation textures: GPU-accelerated simulation of deformable models in contact

Towards multi-GPU support for visualization

Using Graphics Hardware for Enhancing Edge and Circle Detection

GPU architecture overview

Visibility Sampling on GPU and Applications

GPU physics

Algorithmic Differentiation: Application to Variational Problems in Computer Vision

Fast continuous collision detection among deformable models using graphics processors

Cache-efficient numerical algorithms using graphics hardware

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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