high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications

Optical Flow Computation on Compute Unified Device Architecture

Yoshiki Mizukami, Katsumi Tadamura

Tags: CUDA, Image processing, nVidia

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

Simulation and interaction of fluid dynamics

Enhua Wu, Hongbin Zhu, Xuehui Liu, Youquan Liu

Tags: Fluid dynamics, Navier-Stokes equations, NSEs

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

Voice Command Recognition with Dynamic Time Warping (DTW) using Graphics Processing Units (GPU) with Compute Unified Device Architecture (CUDA)

Gustavo Poli, Joao F. Mari, Hiroki, Alexandre L. Levada

Tags: CUDA, nVidia, nVidia GeForce 8800 GTX, Signal processing

December 5, 2010 by hgpu

Hardware acceleration vs. algorithmic acceleration: can GPU-based processing beat complexity optimization for CT?

N. Neophytou, F. Xu, K. Mueller

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Tags: Computed tomography, CT, Image processing, Image reconstruction, Medicine, nVidia, nVidia GeForce 8800 GTX

December 5, 2010 by hgpu

Robust GPU-assisted camera tracking using free-form surface models

Kevin Koeser, Bogumil Bartczak, Reinhard Koch

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Tags: Algorithms, Cg, Computer science, nVidia, OpenGL, Video tracking

December 5, 2010 by hgpu

An Efficient Fine-grained Parallel Genetic Algorithm Based on GPU-Accelerated

Jian-Ming Li, Xiao-Jing Wang, Rong-Sheng He, Zhong-Xian Chi

Tags: Artificial intelligence, Computer science

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

Optical Flow Computation on Compute Unified Device Architecture

GPU architecture overview

Visibility Sampling on GPU and Applications

Simulation and interaction of fluid dynamics

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

Voice Command Recognition with Dynamic Time Warping (DTW) using Graphics Processing Units (GPU) with Compute Unified Device Architecture (CUDA)

Hardware acceleration vs. algorithmic acceleration: can GPU-based processing beat complexity optimization for CT?

Robust GPU-assisted camera tracking using free-form surface models

An Efficient Fine-grained Parallel Genetic Algorithm Based on GPU-Accelerated

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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