high performance computing on graphics processing units: hgpu.org

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Up to 700k GPU cores, Kepler, and the Exascale future for simulations of star clusters around black holes

P. Berczik, R. Spurzem, L. Wang, S. Zhong, O. Veles, I. Zinchenko, S. Huang, M. Tsai, G. Kennedy, S. Li, L. Naso, C. Li

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Tags: Astrophysics, CUDA, GPU cluster, MPI, N-body simulation, nVidia, Package, Tesla C2050, Tesla K20

December 9, 2013 by hgpu

Hybrid Programming using OpenSHMEM and OpenACC

Matthew Baker, Swaroop Pophale, Jean-Charles Vasnier, Haoqiang Jin, Oscar Hernandez

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Tags: Computer science, CUDA, MPI, nVidia, OpenACC, Performance, Tesla K20

November 28, 2013 by hgpu

TESLA GPUs versus MPI with OpenMP for the Forward Modeling of Gravity and Gravity Gradient of Large Prisms Ensemble

Carlos Couder-Castaneda, Carlos Ortiz-Aleman, Mauricio Gabriel Orozco-del-Castillo, Mauricio Nava-Flores

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Tags: Astrophysics, CUDA, Gravitation, MPI, nVidia, OpenMP, Tesla C2070

November 23, 2013 by hgpu

Experience with Intel’s Many Integrated Core architecture in ATLAS software

S. Fleischmann, S. Kama, W. Lavrijsen, M. Neumann, R. Vitillo

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Tags: Computer science, High Energy Physics - Experiment, Intel Phi, Intel Xeon Phi, MPI, Physics, Task scheduling

November 21, 2013 by hgpu

A study of the speed and the accuracy of the Boundary Element Method as applied to the computational simulation of biological organs

Kirana Kumara P

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Tags: Computational Physics, Computer science, CUDA, Fortran, Mathematical Software, Medical Physics, MPI, nVidia, nVidia Quadro 4000, Package

November 19, 2013 by hgpu

Integrating Multi-GPU Execution in an OpenACC Compiler

Toshiya Komoda, Shinobu Miwa, Hiroshi Nakamura, Naoya Maruyama

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Tags: Compilers, Computer science, CUDA, MPI, nVidia, OpenACC, Tesla C2075, Tesla M2050

November 18, 2013 by hgpu

A new GPU-accelerated hydrodynamical code for numerical simulation of interacting galaxies

Igor Kulikov

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Tags: Astrophysics, CUDA, Gravitation, Instrumentation and Methods for Astrophysics, Laplace and Poisson equation, MPI, Numerical simulation, nVidia, Poisson equation

November 6, 2013 by hgpu

Accelerating Dissipative Particle Dynamics Simulations on GPUs: Algorithms, Numerics and Applications

Yu-Hang Tang, George Em Karniadakis

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Tags: Algorithms, Computational Physics, Computer science, CUDA, MPI, nVidia, Tesla K20

November 6, 2013 by hgpu

OpenCUDA+MPI: A Framework for Heterogeneous GP-GPU Distributed Computing

Kenny Ballou, Nilab Mohammad Mousa

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Tags: Computer science, CUDA, Distributed computing, Heterogeneous systems, MPI, nVidia

November 4, 2013 by hgpu

An MPI-CUDA Implementation for the Compression of DEM

Zeng Fei, Chen Yumin

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Tags: CUDA, Discrete Wavelet Transform, Earth and Space Sciences, Geoscience, GPU cluster, MPI, nVidia, nVidia GeForce GT 650 M

November 2, 2013 by hgpu

Extension of the SkePU Skeleton Programming Framework for Multi-core CPU and Multi-GPU Systems for MPI-based Clusters

Swadhin K. Mangaraj

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Tags: Computer science, CUDA, GPU cluster, High-level Languages, MPI, nVidia, OpenCL, Thesis

October 29, 2013 by hgpu

MPI Parallelization of GPU-based Lattice Boltzmann Simulations

Arash Bakhtiari

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Tags: Fluid dynamics, GPU cluster, Heterogeneous systems, Lattice Boltzmann model, MPI, nVidia, OpenCL, Tesla M2090, Thesis

October 27, 2013 by hgpu

MSCCL++: A GPU-driven communication stack for scalable AI applications

MSCCL++: Rethinking GPU Communication Abstractions for Cutting-edge AI Applications

Benchmark compute shader of Unity against InteropUnityCUDA

InteropUnityCUDA: A Tool for Interoperability Between Unity and CUDA

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

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high performance computing on graphics processing units: hgpu.org

Up to 700k GPU cores, Kepler, and the Exascale future for simulations of star clusters around black holes

Hybrid Programming using OpenSHMEM and OpenACC

TESLA GPUs versus MPI with OpenMP for the Forward Modeling of Gravity and Gravity Gradient of Large Prisms Ensemble

Experience with Intel’s Many Integrated Core architecture in ATLAS software

A study of the speed and the accuracy of the Boundary Element Method as applied to the computational simulation of biological organs

Integrating Multi-GPU Execution in an OpenACC Compiler

A new GPU-accelerated hydrodynamical code for numerical simulation of interacting galaxies

Accelerating Dissipative Particle Dynamics Simulations on GPUs: Algorithms, Numerics and Applications

OpenCUDA+MPI: A Framework for Heterogeneous GP-GPU Distributed Computing

An MPI-CUDA Implementation for the Compression of DEM

Extension of the SkePU Skeleton Programming Framework for Multi-core CPU and Multi-GPU Systems for MPI-based Clusters

MPI Parallelization of GPU-based Lattice Boltzmann Simulations

Recent source codes

MSCCL++: A GPU-driven communication stack for scalable AI applications

Benchmark compute shader of Unity against InteropUnityCUDA

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

DuoReduce: MLIR's benchmark

Shamrock: Multi-GPU hydrodynamics for astrophysics

LLMPerf: GPU Performance Modeling meets Large Language Models

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