high performance computing on graphics processing units: hgpu.org

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Multi-level Parallelism for Incompressible Flow Computations on GPU Clusters

Dana A. Jacobsen, Inanc Senocak

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Tags: Computer science, CUDA, Fluid dynamics, GPU cluster, MPI, nVidia, Tesla C1060, Tesla S1070

December 12, 2012 by hgpu

Hybrid Parallel Streamline Extraction Combining MPI and OpenCL

Michael Vetter, Stephan Olbrich

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Tags: Computer science, MPI, Numerical Analysis, nVidia, OpenCL, Tesla M2070, Visualization

December 12, 2012 by hgpu

A MPI back-end for the OpenACC accULL. Exploiting OpenACC semantics in Message Passing Clusters

Juan Jose Fumero

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Tags: Algorithms, Compilers, Computer science, Heterogeneous systems, MPI, OpenACC, OpenCL

December 4, 2012 by hgpu

High Performance Radiation Transport Simulations: Preparing for TITAN

C. Baker, G. Davidson, T. M. Evans, S. Hamilton, J. Jarrell, W. Joubert

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, MPI, nVidia, Tesla X2090

November 26, 2012 by hgpu

The Uintah Framework: A Unified Heterogeneous Task Scheduling and Runtime System

Qingyu Meng, Alan Humphrey, Martin Berzins

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Tags: Computer science, CUDA, Heterogeneous systems, Memory model, MPI, nVidia, nVidia GeForce GTX 570, Task scheduling, Tesla C2070

November 24, 2012 by hgpu

Scalable Multi-GPU 3-D FFT for TSUBAME 2.0 Supercomputer

Akira Nukada, Kento Sato, Satoshi Matsuoka

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Tags: Computer science, CUDA, FFT, MPI, nVidia, Tesla M2090

November 23, 2012 by hgpu

Auto-tunable GPU BLAS (thesis)

Geir Josten Lien

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Source codes

Tags: ATI, ATI Radeon HD 5870, Benchmarking, Computer science, MPI, nVidia, nVidia GeForce GTX 570, OpenCL, Package, Tesla C2050, Thesis

November 18, 2012 by hgpu

GPU Acceleration of Pyrosequencing Noise Removal

Yang Gao, Jason D. Bakos

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Tags: Algorithms, Bioinformatics, Biology, Clustering, CUDA, MPI, nVidia, Sequence alignment, Tesla C2070

November 10, 2012 by hgpu

Beam Dynamics Simulations Using GPUs

J. Fitzek, S. Appel, O. Boine-Frankenheim

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Tags: CUDA, Data parallelism, MPI, nVidia, Physics, Tesla C2075

October 30, 2012 by hgpu

Hybrid MPI/GPU Interpolation for Grid DEM Construction

Andrew Danner, Jake Baskin, Alexander Breslow, David Wilikofsky

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Tags: Computer science, CUDA, MPI, Nearest neighbour, nVidia, Performance, Sensing, Tesla M2070

October 22, 2012 by hgpu

Design and Performance Evaluation of a Software Framework for Multi-Physics Simulations on Heterogeneous Supercomputers

Christian Feichtinger

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Tags: CUDA, Fluid dynamics, GPU cluster, Heterogeneous systems, Lattice Boltzmann model, MPI, Numerical simulation, nVidia, Tesla M2050, Tesla M2070, Thesis

October 17, 2012 by hgpu

Exploiting Data Parallelism in GPUs

Yongpeng Zhang

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Tags: Clustering, Computer science, CUDA, Data parallelism, GPU cluster, MPI, nVidia, nVidia GeForce GTX 280, Thesis

October 14, 2012 by hgpu

HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

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high performance computing on graphics processing units: hgpu.org

Multi-level Parallelism for Incompressible Flow Computations on GPU Clusters

Hybrid Parallel Streamline Extraction Combining MPI and OpenCL

A MPI back-end for the OpenACC accULL. Exploiting OpenACC semantics in Message Passing Clusters

High Performance Radiation Transport Simulations: Preparing for TITAN

The Uintah Framework: A Unified Heterogeneous Task Scheduling and Runtime System

Scalable Multi-GPU 3-D FFT for TSUBAME 2.0 Supercomputer

Auto-tunable GPU BLAS (thesis)

GPU Acceleration of Pyrosequencing Noise Removal

Beam Dynamics Simulations Using GPUs

Hybrid MPI/GPU Interpolation for Grid DEM Construction

Design and Performance Evaluation of a Software Framework for Multi-Physics Simulations on Heterogeneous Supercomputers

Exploiting Data Parallelism in GPUs

Recent source codes

HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration

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Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

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