high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

GPUGI: Global Illumination Effects on the GPU

Laszlo Szirmay-Kalos, Laszlo Szecsi, Mateu Sbert

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Tags: 3D Graphics and Realism, Algorithms, Computer science, DirectX, HLSL, nVidia, nVidia GeForce 6800 GT, OpenGL, Tutorial

March 15, 2011 by hgpu

Compensated Visual Hull with GPU-Based Optimization

Hansung Kim, Ryuuki Sakamoto, Itaru Kitahara

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Tags: Computer science, nVidia, nVidia GeForce 8800 GTS, OpenGL, Rendering, Virtual reality

March 15, 2011 by hgpu

A framework for efficient and scalable execution of domain-specific templates on GPUs

Narayanan Sundaram, Anand Raghunathan, S. T. Chakradhar

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Tags: Code generation, Compilers, Computer science, nVidia, nVidia GeForce 8800 GTX, Tesla C870

March 15, 2011 by hgpu

Efficient Canny Edge Detection Using a GPU

Kohei Ogawa, Yasuaki Ito, Koji Nakano

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Tags: Computer vision, CUDA, Image processing, nVidia

March 15, 2011 by hgpu

A Package for OpenCL Based Heterogeneous Computing on Clusters with Many GPU Devices

Amnon Barak, Tal Ben-nun, Ely Levy, Amnon Shiloh

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Tags: Computer science, GPU cluster, nVidia, nVidia GeForce GTX 480, OpenCL, OpenMP

March 15, 2011 by hgpu

Dense point trajectories by GPU-accelerated large displacement optical flow

Narayanan Sundaram, Thomas Brox, Kurt Keutzer

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 480, Optical flow

March 15, 2011 by hgpu

Accelerating Nearest Neighbor Search on Manycore Systems

Lawrence Cayton

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Tags: Computer science, CUDA, Data Structures and Algorithms, Databases, Information Retrieval, Nearest neighbour, nVidia, Tesla C2050

March 15, 2011 by hgpu

Fast Sparse Matrix-Vector Multiplication on GPUs: Implications for Graph Mining

Xintian Yang, Srinivasan Parthasarathy, Ponnuswamy Sadayappan

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Tags: Computer science, CUDA, Databases, nVidia, Sparse matrix, Tesla C1060

March 15, 2011 by hgpu

Fast Human Detection with Cascaded Ensembles

Berkin Bilgic

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Tags: Computer science, Computer vision, CUDA, Image recognition, nVidia, Thesis

March 14, 2011 by hgpu

Fast Human Detection with Cascaded Ensembles on the GPU

Berkin Bilgic, Berthold K. P. Horn, Ichiro Masaki

Tags: Computer science, Computer vision, CUDA, Image recognition, nVidia

March 14, 2011 by hgpu

Efficient Integral Image Computation on the GPU

Berkin Bilgic, Berthold K. P. Horn, Ichiro Masaki

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Tags: Computer vision, CUDA, Image processing, Image recognition, nVidia

March 14, 2011 by hgpu

High-dimensional Planning on the GPU

Mark Henderson, Joseph T. Kider Jr., Maxim Likhachev, Alla Safonova

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Tags: Artificial intelligence, Computer science, CUDA, nVidia, Path problems, Tesla C870

March 14, 2011 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

Applications

GPUGI: Global Illumination Effects on the GPU

Compensated Visual Hull with GPU-Based Optimization

A framework for efficient and scalable execution of domain-specific templates on GPUs

Efficient Canny Edge Detection Using a GPU

A Package for OpenCL Based Heterogeneous Computing on Clusters with Many GPU Devices

Dense point trajectories by GPU-accelerated large displacement optical flow

Accelerating Nearest Neighbor Search on Manycore Systems

Fast Sparse Matrix-Vector Multiplication on GPUs: Implications for Graph Mining

Fast Human Detection with Cascaded Ensembles

Fast Human Detection with Cascaded Ensembles on the GPU

Efficient Integral Image Computation on the GPU

High-dimensional Planning 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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