high performance computing on graphics processing units: hgpu.org

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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

A GPU based interactive modeling approach to designing fine level features

Xin Huang, Sheng Li, Guoping Wang

Tags: 3D Graphics and Realism, Computer science, 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

Concurrent Number Cruncher: An Efficient Sparse Linear Solver on the GPU

Luc Buatois, Guillaume Caumon, Bruno Levy

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Tags: 3D Graphics and Realism, ATI, ATI Radeon X1900, Computer science, Linear Algebra, OpenGL, Sparse matrix

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

Rapid Multipole Graph Drawing on the GPU

Apeksha Godiyal, Jared Hoberock, Michael Garland, John C. Hart

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Tags: Computer science, CUDA, Graph theory, nVidia, nVidia GeForce 8800 GTX, Visualization

December 22, 2010 by hgpu

Implementing mesh-based approaches for deformable objects on GPU

Guido Ranzuglia, Paolo Cignoni, Fabio Ganovelli, Roberto Scopign

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Tags: Computer science, nVidia, nVidia GeForce 6800 GT, OpenGL, Rendering

December 21, 2010 by hgpu

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

Scalable Access-Pattern Aware I/O Acceleration and Multi-Tiered Data Management for HPC and AI Workloads

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

Analyzing the Performance Portability of SYCL across CPUs, GPUs, and Hybrid Systems with Protein Database Search

tdg-benchs: benchmarks used to test the performance of taskgraph

Leveraging the potential of task-based programming with OpenMP task graphs

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

GPU Rendering of Secondary Effects

A GPU based interactive modeling approach to designing fine level features

Parallel Branch Prediction on GPU Platform

Concurrent Number Cruncher: An Efficient Sparse Linear Solver on the GPU

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

Rapid Multipole Graph Drawing on the GPU

Implementing mesh-based approaches for deformable objects on GPU

Recent source codes

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

HPX: a C++ Standard Library for Concurrency and Parallelism

TorchQC: Quantum Dynamics and Machine Learning

Matrix multiplication using Tensor Cores in CUDA

CPP Joules: Energy Measurement tool for CPP/CUDA programs

HPC-Coder-v2

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

tdg-benchs: benchmarks used to test the performance of taskgraph

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