high performance computing on graphics processing units: hgpu.org

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Sequence Homology Search using Fine-Grained Cycle Sharing of Idle GPUs

Fumihiko Ino, Yuma Munekawa, Kenichi Hagihara

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Tags: Algorithms, Computer science, CUDA, Distributed computing, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 285, Search, Smith-Waterman algorithm

December 4, 2011 by hgpu

GPU Accelerated Dissipative Particle Dynamics with Parallel Cell-list Updating

Hao Wu, Junbo Xu, Shengfei Zhang, Hao Wen

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Tags: Algorithms, Benchmarking, Chemistry, CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 285, Optimization

November 30, 2011 by hgpu

Lattice-Boltzmann simulation of the shallow-water equations with fluid-structure interaction on multi-and manycore processors

Markus Geveler, Dirk Ribbrock, Dominik Goddeke, Stefan Turek

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Tags: CUDA, Fluid dynamics, GPU cluster, Lattice Boltzmann model, MPI, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 285

November 16, 2011 by hgpu

Extinction-Based Shading and Illumination in GPU Volume Ray-Casting

Philipp Schlegel, Maxim Makhinya, Renato Pajarola

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Rendering

November 14, 2011 by hgpu

Synthetic Aperture Beamformation using the GPU

Jens Munk Hansen, Dana Schaa, Jorgen Arendt Jensen

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Tags: ATI, ATI Radeon HD 5870, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, nVidia GeForce GTX 580, OpenCL, Signal processing, Ultrasound

November 11, 2011 by hgpu

GPU Cuda Performance on Two-Dimensional and Three-Dimensional VAWT Vortex Models

Steven Hard, Jay Wilhel, Franz A. Pert, James E. Smit

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Tags: Algorithms, Analytical model, CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 285

November 10, 2011 by hgpu

A CPU-GPU Hybrid Runtime for the Aeminium Language

Alcides Fonseca

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Tags: Compilers, Computer science, Java, MapReduce, nVidia, nVidia GeForce GTX 285, OpenCL, Optimization, Package, Sorting, Thesis

November 10, 2011 by hgpu

Effects of GPU and CPU Loads on Performance of CUDA Applications

Maksim Bobrov, Roy Melton, Stanislaw Radziszowski, Marcin Lukowiak

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Tags: AES, Algorithms, Computer science, CUDA, Hashing, nVidia, nVidia GeForce GTX 285, Performance, Security

November 9, 2011 by hgpu

GPU-accelerated Convex Multi-phase Image Segmentation

Subrahmanyam Gorthi, Arnaud Le Carvennec, Hadrien Copponnex, Xavier Bresson, Jean-Philippe Thiran

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Tags: Algorithms, Computational Complexity, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 285, Optimization, Package

November 7, 2011 by hgpu

PEPSC: A Power-Efficient Processor for Scientific Computing

Ganesh Dasika, Ankit Sethia, Trevor Mudge, Scott Mahlke

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Tags: Computer science, Energy-efficient computing, Hardware Architecture, nVidia, nVidia GeForce GTX 285, Prefetch

November 4, 2011 by hgpu

True 4D Image Denoising on the GPU

Anders Eklund, Mats Andersson, Hans Knutsson

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Tags: Algorithms, Computational Complexity, Computed tomography, CT, CUDA, FFT, Filtering, Image processing, Medicine, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 580, Tomography

November 3, 2011 by hgpu

Efficient Quicksort and 2D Convex Hull for CUDA, and MSIMD as a Realistic Model of Massively Parallel Computations

Tomasz Jurkiewicz, Piotr Danilewski

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Sorting

November 3, 2011 by hgpu

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

LLOR: Automatic Repair of OpenMP Programs

LLOR: Automated Repair of OpenMP Programs

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high performance computing on graphics processing units: hgpu.org

Sequence Homology Search using Fine-Grained Cycle Sharing of Idle GPUs

GPU Accelerated Dissipative Particle Dynamics with Parallel Cell-list Updating

Lattice-Boltzmann simulation of the shallow-water equations with fluid-structure interaction on multi-and manycore processors

Extinction-Based Shading and Illumination in GPU Volume Ray-Casting

Synthetic Aperture Beamformation using the GPU

GPU Cuda Performance on Two-Dimensional and Three-Dimensional VAWT Vortex Models

A CPU-GPU Hybrid Runtime for the Aeminium Language

Effects of GPU and CPU Loads on Performance of CUDA Applications

GPU-accelerated Convex Multi-phase Image Segmentation

PEPSC: A Power-Efficient Processor for Scientific Computing

True 4D Image Denoising on the GPU

Efficient Quicksort and 2D Convex Hull for CUDA, and MSIMD as a Realistic Model of Massively Parallel Computations

Recent source codes

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

LLOR: Automatic Repair of OpenMP Programs

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