high performance computing on graphics processing units: hgpu.org

hgpu.org » MPI

Scalable Simulation of Tsunamis Generated by Submarine Landslides on GPU clusters

M. de la Asuncion, J. M. Mantas, M. J. Castro, S. Ortega

View

Download (PDF)

Tags: CUDA, Earth and Space Sciences, Fluid dynamics, GPU cluster, MPI, nVidia, Tesla M2090

October 26, 2013 by hgpu

Moim: A Multi-GPU MapReduce Framework

Mengjun Xie, Kyoung-Don Kang, Can Basaran

View

Download (PDF)

Tags: Computer science, CUDA, MapReduce, MPI, nVidia, nVidia GeForce GTX 580, Thrust

October 21, 2013 by hgpu

Heterogeneous Clustering with Homogeneous Code: Accelerate MPI Applications Without Code Surgery Using Intel Xeon Phi Coprocessors

Andrey Vladimirov and Vadim Karpusenko

View

Download (PDF)

Tags: Heterogeneous systems, Intel Phi, Intel Xeon Phi, Monte Carlo simulation, MPI, Portability, Task scheduling

October 18, 2013 by Andrey Vladimirov

Coupling a Generalized DEM and an SPH Models Under a Heterogeneous Massively Parallel Framework

Ricardo Canelas, Jose M. Dominguez, Rui M. L. Ferreira

View

Download (PDF)

Tags: CUDA, Fluid dynamics, Heterogeneous systems, MPI, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, nVidia GeForce GTX 680

October 12, 2013 by hgpu

The GASPI API specification and its implementation GPI 2.0

D. Grünewald, C. Simmendinger

View

Download (PDF)

Source codes

Tags: Computer science, Intel Xeon Phi, MPI, Package, Programming Languages

October 9, 2013 by hgpu

High-Order Algorithms for Compressible Reacting Flow with Complex Chemistry

M. Emmett, W. Zhang, J. B. Bell

View

Download (PDF)

Tags: Fluid dynamics, Intel Xeon Phi, Mathematics, MPI, Navier-Stokes equations, NSEs, Numerical Analysis, Numerical simulation, OpenMP

October 9, 2013 by hgpu

A GPU cluster optimized multigrid scheme for computing unsteady incompressible fluid flow

Gyorgy Tegze, Gyula I. Toth

View

Download (PDF)

Tags: ATI, ATI Radeon HD 7970, Fluid dynamics, GPU cluster, Mathematics, MPI, Numerical Analysis, Numerical simulation, nVidia, nVidia GeForce GTX 680, OpenCL

September 30, 2013 by hgpu

Re-Introduction of Communication-Avoiding FMM-Accelerated FFTs with GPU Acceleration

M. Harper Langston, Muthu Baskaran, Benoit Meister, Nicolas Vasilache, Richard Lethin

View

Download (PDF)

Tags: Algorithms, CUDA, Fast multipole method, FFT, MPI, nVidia, Signal processing, Tesla M2070

September 29, 2013 by hgpu

Toward a GPU-Accelerated Immersed Boundary Method for Wind Forecasting Over Complex Terrain

Rey DeLeon, Kyle Felzien, Inanc Senocak

View

Download (PDF)

Tags: CUDA, Earth and Space Sciences, GPU cluster, MPI, nVidia, Tesla S1070, Weather prediction, Weather Prediction Model

September 28, 2013 by hgpu

Processing MPI Derived Datatypes on Noncontiguous GPU-Resident Data

John Jenkins, James Dinan, Pavan Balaji, Tom Peterka, Nagiza F. Samatova, Rajeev Thakur

View

Download (PDF)

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

September 23, 2013 by hgpu

Parallel Motion Estimation Implementation for Different Block Matching Algorithms onto GPGPU

Eduarda Monteiro, Marilena Maule, Felipe Sampaio, Claudio Diniz, Bruno Zatt, Sergio Bampi

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, MPI, nVidia, nVidia GeForce GTX 480, OpenMP, Video encoding

September 17, 2013 by hgpu

Porting to the Intel Xeon Phi: Opportunities and Challenges

C. Rosales

View

Download (PDF)

Tags: Benchmarking, Computer science, CUDA, Heterogeneous systems, Intel Phi, MPI, nVidia, Optimization, Performance

September 15, 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

* * *

high performance computing on graphics processing units: hgpu.org

Scalable Simulation of Tsunamis Generated by Submarine Landslides on GPU clusters

Moim: A Multi-GPU MapReduce Framework

Heterogeneous Clustering with Homogeneous Code: Accelerate MPI Applications Without Code Surgery Using Intel Xeon Phi Coprocessors

Coupling a Generalized DEM and an SPH Models Under a Heterogeneous Massively Parallel Framework

The GASPI API specification and its implementation GPI 2.0

High-Order Algorithms for Compressible Reacting Flow with Complex Chemistry

A GPU cluster optimized multigrid scheme for computing unsteady incompressible fluid flow

Re-Introduction of Communication-Avoiding FMM-Accelerated FFTs with GPU Acceleration

Toward a GPU-Accelerated Immersed Boundary Method for Wind Forecasting Over Complex Terrain

Processing MPI Derived Datatypes on Noncontiguous GPU-Resident Data

Parallel Motion Estimation Implementation for Different Block Matching Algorithms onto GPGPU

Porting to the Intel Xeon Phi: Opportunities and Challenges

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

Most viewed papers (last 30 days)