Programming

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Fast calculation of HELAS amplitudes using graphics processing unit (GPU)

K. Hagiwara, J. Kanzaki, N. Okamura, D. Rainwater, T. Stelzer

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Tags: Computational Physics, CUDA, High Energy Physics - Experiment, High Energy Physics - Phenomenology, nVidia, nVidia GeForce 8800 M GTS, nVidia GeForce 9800 GTX, nVidia GeForce GTX 280, Physics

October 27, 2010 by hgpu

Lattice Boltzmann based PDE solver on the GPU

Ye Zhao

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Tags: Computer science, CUDA, Fluid dynamics, Laplace and Poisson equation, Lattice Boltzmann model, nVidia, nVidia GeForce 8800 GTX

October 27, 2010 by hgpu

Performance evaluation of H.264/AVC decoding and visualization using the GPU

Bart Pieters, Dieter Van Rijsselbergen, Wesley De Neve, Rik Van de Walle

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Tags: Computer science, CUDA, H.264/AVC, Motion compensation, nVidia, nVidia GeForce 8800 GTX

October 27, 2010 by hgpu

Fast k Nearest Neighbor Search using GPU

Vincent Garcia, Eric Debreuve, Michel Barlaud

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 8800 GTX

October 27, 2010 by hgpu

Sequence alignment with GPU: Performance and design challenges

Gregory M. Striemer, Ali Akoglu

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Tags: Bioinformatics, Biology, Computational biology, Computer science, CUDA, nVidia, Package, Sequence alignment, Smith-Waterman algorithm, Tesla C870

October 27, 2010 by hgpu

GPU-Quicksort: A practical Quicksort algorithm for graphics processors

Daniel Cederman, Philippas Tsigas

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Tags: Algorithms, Computer science, CUDA, Data Structures and Algorithms, nVidia, nVidia GeForce 8600 GTS, nVidia GeForce 8800 GTX, Package, Sorting

October 27, 2010 by hgpu

GPU accelerated pathfinding

Avi Bleiweiss

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Tags: Artificial intelligence, Computer science, CUDA, nVidia, nVidia GeForce 8800 GT, nVidia GeForce GTX 280, Presentation, Search strategies

October 27, 2010 by hgpu

ACEMD: Accelerating Biomolecular Dynamics in the Microsecond Time Scale

M. J. Harvey, G. Giupponi, G. De Fabritiis

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Tags: Biological Physics, Chemistry, Computational Physics, CUDA, GPU cluster, Molecular dynamics, nVidia, nVidia GeForce GTX 280, Package, Physics, Tesla C1060

October 27, 2010 by hgpu

Monte Carlo simulations on Graphics Processing Units

Vadim Demchik, Alexei Strelchenko

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Tags: ATI, ATI IL, ATI Radeon HD 4850, ATI Radeon HD 4870, ATI Stream, High Energy Physics - Lattice, Monte Carlo simulation, Physics

October 27, 2010 by hgpu

Simulating spin models on GPU

Martin Weigel

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Tags: CUDA, Ising model, Monte Carlo simulation, nVidia, Package, Physics, Statistical Mechanics, Tesla C1060

October 27, 2010 by hgpu

GPU implementation of JPEG XR

Ming C. Che, Jie Liang

Tags: Algorithms, Computer science, CUDA, Image processing, nVidia

October 27, 2010 by hgpu

Monte Carlo integration on GPU

J. Kanzaki

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Tags: Computational Physics, CUDA, High Energy Physics - Experiment, High Energy Physics - Phenomenology, Monte Carlo integration, nVidia, nVidia GeForce GTX 285, Package, Physics

October 27, 2010 by hgpu

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tntorch - Tensor Network Learning with PyTorch

tntorch: Tensor Network Learning with PyTorch

Open-source FPGA-ML codesign for the MLPerf Tiny Benchmark

MapReduce for Counting Word Frequencies with MPI and GPUs

CoDL: Efficient CPU-GPU Co-execution for Deep Learning Inference on Mobile Devices

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Lossless Acceleration for Seq2seq Generation with Aggressive Decoding

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

Fast calculation of HELAS amplitudes using graphics processing unit (GPU)

Lattice Boltzmann based PDE solver on the GPU

Performance evaluation of H.264/AVC decoding and visualization using the GPU

Fast k Nearest Neighbor Search using GPU

Sequence alignment with GPU: Performance and design challenges

GPU-Quicksort: A practical Quicksort algorithm for graphics processors

GPU accelerated pathfinding

ACEMD: Accelerating Biomolecular Dynamics in the Microsecond Time Scale

Monte Carlo simulations on Graphics Processing Units

Simulating spin models on GPU

GPU implementation of JPEG XR

Monte Carlo integration on GPU

Recent source codes

tntorch - Tensor Network Learning with PyTorch

Open-source FPGA-ML codesign for the MLPerf Tiny Benchmark

MapReduce for Counting Word Frequencies with MPI and GPUs

CoDL: Efficient CPU-GPU Co-execution for Deep Learning Inference on Mobile Devices

SYCLCOMP Utilities

M1 GPUs for (scientific) computations in C++

CUB: Cooperative primitives for CUDA C++

Simulator and workload generator for Edge-to-Cloud environments

piet-gpu: An experimental GPU compute-centric 2D renderer

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

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