high performance computing on graphics processing units: hgpu.org

hgpu.org » MPI

CheCL: Transparent Checkpointing and Process Migration of OpenCL Applications

Hiroyuki Takizawa, Kentaro Koyama, Katuto Sato, Kazuhiko Komatsu, Hiroaki Kobayashi

View

Download (PDF)

Tags: ATI, ATI Radeon HD 5870, Code generation, Compilers, Computer science, MPI, nVidia, OpenCL, Tesla C1060

October 1, 2011 by hgpu

Large-Scale High-Lundquist Number Reduced MHD Simulations of the Solar Corona Using GPU Accelerated Machines

L. Lin, Chung-Sang Ng, A. Bhattacharjee

View

Download (PDF)

Tags: Astrophysics, Computational Physics, CUDA, GPU cluster, Instrumentation and Methods for Astrophysics, Magnetohydrodynamics, MPI, nVidia, Plasma physics, Solar and Stellar Astrophysics, Spectral methods, Tesla C2050

September 29, 2011 by hgpu

Optimizing Linpack Benchmark on GPU-Accelerated Petascale Supercomputer

Feng Wang, Can-Qun Yang, Yun-Fei Du, Juan Chen, Hui-Zhan Yi, Wei-Xia Xu

View

Download (PDF)

Tags: Benchmarking, Computer science, Heterogeneous systems, Linear Algebra, MPI, OpenMP, Optimization

September 28, 2011 by hgpu

CU2CL: A CUDA-to-OpenCL Translator for Multi-and Many-core Architectures

Gabriel Martinez, Wu-chun Feng, Mark Gardner

View

Download (PDF)

Tags: ATI, ATI Radeon HD 5870, Benchmarking, Code generation, Computer science, CUDA, Heterogeneous systems, MPI, nVidia, nVidia GeForce GTX 280, OpenCL

September 24, 2011 by hgpu

A case for neuromorphic ISAs

Atif Hashmi, Andrew Nere, James Jamal Thomas, Mikko Lipasti

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Java, MPI, nVidia, nVidia GeForce 9800 GX2, nVidia GeForce GTX 280, Optimization, Performance

September 22, 2011 by hgpu

NIMBLE: a toolkit for the implementation of parallel data mining and machine learning algorithms on mapreduce

Amol Ghoting, Prabhanjan Kambadur, Edwin Pednault, Ramakrishnan Kannan

View

Download (PDF)

Tags: Algorithms, Computer science, Data mining, Machine learning, MapReduce, MPI, OpenCL, Performance, Software Engineering

September 16, 2011 by hgpu

A platform-independent tool for modeling parallel programs

Ferosh Jacob, Jeff Gray, Yu Sun, Purushotham Bangalore

View

Download (PDF)

Tags: Algorithms, Computer science, MPI, OpenMP, Performance, Programming Languages, Programming techniques

September 15, 2011 by hgpu

The Application Perspective: Seeking Productivity and Performance

David Barkai

View

Download (PDF)

Tags: Computer science, MPI, Performance, Programming techniques

September 14, 2011 by hgpu

Programming Many-Core Chips

Andras Vajda

View

Download (PDF)

Tags: Book, Cluster computing, Computer science, CUDA, MPI, nVidia, OpenCL, OpenMP, Programming techniques

September 8, 2011 by hgpu

Switching to High Gear: Opportunities for Grand-Scale Real-Time Parallel Simulations

Kalyan S. Perumalla

View

Download (PDF)

Tags: Computer science, CUDA, MPI, nVidia, Performance, Review

August 27, 2011 by hgpu

Experience of parallelizing cryo-EM 3D reconstruction on a CPU-GPU heterogeneous system

Linchuan Li, Xingjian Li, Guangming Tan, Mingyu Chen, Peiheng Zhang

Tags: Algorithms, Computer science, Cryo-EM, CUDA, Data parallelism, GPU cluster, Heterogeneous systems, MPI, nVidia, Performance, Tesla C2050

August 24, 2011 by hgpu

Precise dynamic analysis for slack elasticity: adding buffering without adding bugs

Sarvani Vakkalanka, Anh Vo, Ganesh Gopalakrishnan, Robert M. Kirby

View

Download (PDF)

Tags: Algorithms, Computer science, MPI, Network communications

August 24, 2011 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

CheCL: Transparent Checkpointing and Process Migration of OpenCL Applications

Large-Scale High-Lundquist Number Reduced MHD Simulations of the Solar Corona Using GPU Accelerated Machines

Optimizing Linpack Benchmark on GPU-Accelerated Petascale Supercomputer

CU2CL: A CUDA-to-OpenCL Translator for Multi-and Many-core Architectures

A case for neuromorphic ISAs

NIMBLE: a toolkit for the implementation of parallel data mining and machine learning algorithms on mapreduce

A platform-independent tool for modeling parallel programs

The Application Perspective: Seeking Productivity and Performance

Programming Many-Core Chips

Switching to High Gear: Opportunities for Grand-Scale Real-Time Parallel Simulations

Experience of parallelizing cryo-EM 3D reconstruction on a CPU-GPU heterogeneous system

Precise dynamic analysis for slack elasticity: adding buffering without adding bugs

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)