high performance computing on graphics processing units: hgpu.org

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Somoclu: An Efficient Distributed Library for Self-Organizing Maps

Peter Wittek

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Tags: Computer science, CUDA, Mathematical Software, MPI, Neural and Evolutionary Computing, nVidia, Package, Self-organizing map, Tesla M2050, Text mining

May 8, 2013 by hgpu

GPU Acceleration of the Variational Monte Carlo Method for Many Body Physics

Rajagopalan Kaushik Ragavan

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Tags: CUDA, Data parallelism, Heterogeneous systems, Monte Carlo simulation, MPI, nVidia, Physics, Tesla M2070, Thesis

May 1, 2013 by hgpu

MPI Derived Datatypes Processing on Noncontiguous GPU-resident Data

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

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

April 30, 2013 by hgpu

On the Efficacy of GPU-Integrated MPI for Scientific Applications

Ashwin M. Aji, Lokendra S. Panwar, Feng Ji, Milind Chabbi, Karthik Murthy, Pavan Balaji, Keith R. Bisset, James Dinan, Wu-chun Feng, John Mellor-Crummey, Xiaosong May, Rajeev Thakur

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Tags: Computer science, CUDA, GPU cluster, Heterogeneous systems, MPI, nVidia, Optimization, Seismology, Tesla M2050

April 22, 2013 by hgpu

Connecting Architecture, Fitness, Optimizations and Performance using an Anisotropic Diffusion Filter

Sumedh Naik

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Tags: ATI Radeon HD 5870, Computer science, CUDA, Filtering, Image processing, MPI, nVidia, OpenCL, Tesla C2050, Thesis

April 22, 2013 by hgpu

Computer Simulation of Saturn’s Ring Structure

Cole Kendrick

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Tags: Astrophysics, ATI, ATI Radeon HD 5850, Gravitation, MPI, N-body simulation, nVidia, nVidia GeForce GTX 580, OpenCL, Package, Tesla S2050

April 21, 2013 by hgpu

C Language Extensions for Hybrid CPU/GPU Programming with StarPU

Ludovic Courtes

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Tags: Computer science, Hybrid computing, Mathematical Software, MPI, OpenCL, Package

April 4, 2013 by hgpu

Synchronization and Ordering Semantics in Hybrid MPI+GPU Programming

Ashwin M. Aji, Pavan Balaji, James Dinan, Wu-chun Feng, Rajeev Thakur

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Tags: Computer science, CUDA, Hybrid computing, MPI, nVidia, OpenCL, Tesla C2050

April 3, 2013 by hgpu

A Scalable Heterogeneous Parallelization Framework for Iterative Local Searches

Martin Burtscher, Hassan Rabeti

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Tags: Computer science, CUDA, Heterogeneous systems, MPI, nVidia, Search, Tesla M2090

March 12, 2013 by hgpu

Performance Analysis of a Symmetric Cryptographic Algorithm on Multicore Architectures

Adrian Pousa, Victoria Sanz, Armando de Giusti

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Tags: AES, Algorithms, Computer science, CUDA, MPI, nVidia, nVidia GeForce GTX 560 Ti, Performance, Security

March 5, 2013 by hgpu

Parallel Shooting and Bouncing Ray Method on GPU Clusters for Analysis of Electro-Magnetic Scattering

Pengcheng Gao, Yubo Tao, Hai Lin

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Tags: CUDA, Electrodynamics, GPU cluster, MPI, nVidia, nVidia GeForce GTX 580, Tesla C2050

February 27, 2013 by hgpu

Exploiting Multiple Levels of Parallelism and Online Refinement of Unstructured Meshes in Atmospheric Model Application

Claudio Schepke

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Tags: CUDA, Earth and Space Sciences, MPI, nVidia, nVidia GeForce GTX 480, Tesla S1070, Thesis, Weather prediction

February 12, 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

Somoclu: An Efficient Distributed Library for Self-Organizing Maps

GPU Acceleration of the Variational Monte Carlo Method for Many Body Physics

MPI Derived Datatypes Processing on Noncontiguous GPU-resident Data

On the Efficacy of GPU-Integrated MPI for Scientific Applications

Connecting Architecture, Fitness, Optimizations and Performance using an Anisotropic Diffusion Filter

Computer Simulation of Saturn’s Ring Structure

C Language Extensions for Hybrid CPU/GPU Programming with StarPU

Synchronization and Ordering Semantics in Hybrid MPI+GPU Programming

A Scalable Heterogeneous Parallelization Framework for Iterative Local Searches

Performance Analysis of a Symmetric Cryptographic Algorithm on Multicore Architectures

Parallel Shooting and Bouncing Ray Method on GPU Clusters for Analysis of Electro-Magnetic Scattering

Exploiting Multiple Levels of Parallelism and Online Refinement of Unstructured Meshes in Atmospheric Model Application

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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