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Enabling Inter-Machine Parallelism in High-Level Languages with SEJITS and MapReduce

Michael Driscoll, Evangelos Georganas, Penporn Koanantakool

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Tags: Computer science, CUDA, MapReduce, nVidia, Programming techniques, Python, Tesla M2050

February 9, 2013 by hgpu

Hybrid CPU-GPU Distributed Framework for Large Scale Mobile Networks Simulation

Ben Romdhanne Bilel, Nikaein Navid, Mohamed Said Mosli Bouksiaa, Christian Bonnet

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Tags: Computer science, CUDA, Hybrid computing, nVidia, nVidia GeForce GTX 460, Programming techniques

February 3, 2013 by hgpu

OWL: Cooperative Thread Array Aware Scheduling Techniques for Improving GPGPU Performance

Adwait Jog, Onur Kayiran, Nachiappan Chidambaram Nachiappan, Asit K. Mishra, Mahmut T. Kandemir, Onur Mutlu, Ravishankar Iyer, Chita R. Das

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Performance, Prefetch, Programming techniques

January 31, 2013 by hgpu

Automatic Parallelization for GPUs

Thomas B. Jablin

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Programming techniques, Thesis

January 26, 2013 by hgpu

Performance comparison of gauss-Jordan elimination method using OpenMP and CUDA

Baha Sen, Nesrin Aydin Atasoy, Caner Ozcan

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 9500 GT, OpenMP, Performance, Programming techniques

January 7, 2013 by hgpu

Algorithmic Skeleton Framework for the Orchestration of GPU Computations

Ricardo Jorge dos Santos Marques

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce GTX 680, OpenCL, Optimization, Programming techniques, Tesla C2050

December 25, 2012 by hgpu

Productive High Performance Parallel Programming with Auto-tuned Domain-Specific Embedded Languages

Shoaib Ashraf Kamil

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Performance, Programming techniques, Thesis

December 16, 2012 by hgpu

Towards Building Error Resilient GPGPU Applications

Bo Fang, Jiesheng Wei, Karthik Pattabiraman, Matei Ripeanu

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Tags: Computer science, CUDA, nVidia, Programming techniques, Tesla C2075

December 8, 2012 by hgpu

Mapping Streaming Applications to OpenCL

Abhishek Ray

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Tags: ATI, ATI Radeon HD 6970, Computer science, nVidia, OpenCL, Programming techniques, Tesla C2050

December 5, 2012 by hgpu

Kite: Braided Parallelism for Heterogeneous Systems

J. Garrett Morris, Benedict R. Gaster, Lee Howes

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Tags: Compilers, Computer science, Heterogeneous systems, OpenCL, Programming techniques

November 5, 2012 by hgpu

A GPU Approach to Fortran Legacy Systems

Mariano Mendez, Fernando G. Tinetti

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Tags: Computer science, CUDA, Fortran, nVidia, OpenACC, Programming techniques, Tesla C2075

October 29, 2012 by hgpu

Enhancing Productivity and Performance Portability of General-Purpose Parallel Programming

Alexandros Tzannes

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Tags: Compilers, Computer science, Programming techniques, Thesis

October 17, 2012 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

See all packages

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high performance computing on graphics processing units: hgpu.org

Enabling Inter-Machine Parallelism in High-Level Languages with SEJITS and MapReduce

Hybrid CPU-GPU Distributed Framework for Large Scale Mobile Networks Simulation

OWL: Cooperative Thread Array Aware Scheduling Techniques for Improving GPGPU Performance

Automatic Parallelization for GPUs

Performance comparison of gauss-Jordan elimination method using OpenMP and CUDA

Algorithmic Skeleton Framework for the Orchestration of GPU Computations

Productive High Performance Parallel Programming with Auto-tuned Domain-Specific Embedded Languages

Towards Building Error Resilient GPGPU Applications

Mapping Streaming Applications to OpenCL

Kite: Braided Parallelism for Heterogeneous Systems

A GPU Approach to Fortran Legacy Systems

Enhancing Productivity and Performance Portability of General-Purpose Parallel Programming

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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