high performance computing on graphics processing units: hgpu.org

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Overlapping Computation and Communication for Advection on Hybrid Parallel Computers

James B White III (Trey), Jack Dongarra

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Tags: CUDA, Fluid dynamics, Fortran, GPU cluster, Hybrid computing, MPI, nVidia, OpenMP, OpenMPI, Presentation, Tesla C1060, Tesla C2050

November 27, 2011 by hgpu

Seismic Wave Propagation Simulation Using Support Operator Method on multi-GPU system

Shenyi Song, Tingxing Dong, Yichen Zhou, David A. Yuen, Zhonghua Lu

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Tags: CUDA, Earth and Space Sciences, Finite difference, MPI, nVidia, OpenMPI, Seismic modeling, Tesla C1060

November 25, 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

Hybrid Parallelism for Volume Rendering on Large, Multi-and Many-core Systems

Mark Howison, E. Wes Bethel, Hank Childs

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Tags: Algorithms, Computer science, CUDA, GPU cluster, MPI, nVidia, nVidia Quadro FX 5800, Rendering, Visualization

November 16, 2011 by hgpu

A Full-Depth Amalgamated Parallel 3D Geometric Multigrid Solver for GPU Clusters

Dana A. Jacobsen

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Tags: Algorithms, CUDA, Fluid dynamics, GPU cluster, Laplace and Poisson equation, MPI, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce GTX 470, Poisson equation, Tesla S1070

November 16, 2011 by hgpu

High Performance Data Mining Using R on Heterogeneous Platforms

Prabhat Kumar, Berkin Ozisikyilmaz, Wei-Keng Liao, Gokhan Memik, Alok Choudhary

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Tags: Computer science, CUDA, Data mining, Heterogeneous systems, MPI, nVidia, nVidia GeForce 8800 GT, Optimization

November 15, 2011 by hgpu

An Ultrafast Scalable Many-core Motif Discovery Algorithm for Multiple GPUs

Yongchao Liu, Bertil Schmidt, Douglas L. Maskell

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Source codes

Tags: Algorithms, Benchmarking, Biology, CUDA, GPU cluster, MPI, nVidia, OpenMP, Package, Tesla S2050

November 15, 2011 by hgpu

An MPI-CUDA implementation of an improved Roe method for two-layer shallow water systems

Marc de la Asuncion, Jose M. Mantas, Manuel J. Castro, E.D. Fernandez-Nieto

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Tags: Cluster computing, CUDA, Fluid dynamics, GPU cluster, MPI, nVidia, nVidia GeForce GTX 480, Triangular meshes

November 15, 2011 by hgpu

Large Scale Plane Wave Pseudopotential Density Functional Theory Calculations on GPU Clusters

Long Wang, Weile Jia, Xuebin Chi, Yue Wu, Weiguo Gao, Lin-Wang Wang

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Tags: Algorithms, Computational chemistry, CUDA, GPU cluster, MPI, nVidia, Performance, Physics, Tesla C2050

November 14, 2011 by hgpu

Seismic Wave Propagation Simulation Using Accelerated Support Operator Rupture Dynamics on Multi-GPU

Yichen Zhou, Shenyi Song, Tingxing Dong, David A. Yuen

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Tags: CUDA, Earth and Space Sciences, Finite difference, Fortran, Geoscience, MPI, nVidia, Seismic modeling, Tesla C1060

November 14, 2011 by hgpu

Comprehensive Performance Monitoring for GPU Cluster Systems

K. Furlinger, N.J. Wright, D. Skinner

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Tags: Benchmarking, Computer science, CUDA, GPU cluster, MPI, nVidia, Performance, Tesla C2050

November 13, 2011 by hgpu

Run, Stencil, Run! – A Comparison of Modern Parallel Programming Paradigms

Helmar Burkhart, Matthias Christen, Max Rietmann, Madan Sathe, Olaf Schenk

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Tags: Benchmarking, Computer science, CUDA, MPI, nVidia, OpenMP, Tesla C2050

November 10, 2011 by hgpu

Data-efficient LLM Fine-tuning for Code Generation

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

DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

GigaAPI for GPU Parallelization

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle

DuoReduce: MLIR's benchmark

Hardware-Assisted Software Testing and Debugging for Heterogeneous Computing

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high performance computing on graphics processing units: hgpu.org

Overlapping Computation and Communication for Advection on Hybrid Parallel Computers

Seismic Wave Propagation Simulation Using Support Operator Method on multi-GPU system

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

Hybrid Parallelism for Volume Rendering on Large, Multi-and Many-core Systems

A Full-Depth Amalgamated Parallel 3D Geometric Multigrid Solver for GPU Clusters

High Performance Data Mining Using R on Heterogeneous Platforms

An Ultrafast Scalable Many-core Motif Discovery Algorithm for Multiple GPUs

An MPI-CUDA implementation of an improved Roe method for two-layer shallow water systems

Large Scale Plane Wave Pseudopotential Density Functional Theory Calculations on GPU Clusters

Seismic Wave Propagation Simulation Using Accelerated Support Operator Rupture Dynamics on Multi-GPU

Comprehensive Performance Monitoring for GPU Cluster Systems

Run, Stencil, Run! – A Comparison of Modern Parallel Programming Paradigms

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Data-efficient LLM Fine-tuning for Code Generation

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

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

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