high performance computing on graphics processing units: hgpu.org

hgpu.org » Overview

Graphics processing unit (GPU) programming strategies and trends in GPU computing

Andre R. Brodtkorb, Trond R. Hagen, Martin L. Saetra

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Tags: Computer science, Heterogeneous systems, Metaheuristics, Optimization, Overview, Programming techniques

April 19, 2013 by hgpu

Graphics Card as a Cheap Supercomputer

Jan Prikryl

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Source codes

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 275, Overview, Package

February 25, 2013 by hgpu

Future of GPGPU Micro-Architectural Parameters

Cedric Nugteren, Gert-Jan van den Braak, Henk Corporaal

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Tags: Computer science, Overview, Performance

February 25, 2013 by hgpu

An Overview of Miscellaneous Applications of GPU Computing

Stanislav Stankovic, Jaakko Astola

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Tags: Overview, Signal processing

December 30, 2012 by hgpu

Task Parallelism and Data Distribution: An Overview of Explicit Parallel Programming Languages

Dounia Khaldi, Pierre Jouvelot, Corinne Ancourt, Francois Irigoin

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Tags: Computer science, Data parallelism, Memory model, OpenCL, OpenMP, Overview

October 23, 2012 by hgpu

Parallel Programming using OpenCL on Modern Architectures

Allan Svejstrup Nielsen, Allan Peter Engsig-Karup, Bernd Dammann

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Tags: ATI, ATI Radeon HD 6990, Computer science, Heterogeneous systems, Matrix multiplication, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 590, OpenCL, Overview, Tutorial

October 15, 2012 by hgpu

Invitation to a Standard Programming Interface for Massively Parallel Computing Environment: OpenCL

Shinichi Yamagiwa

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Tags: Computer science, Heterogeneous systems, nVidia, nVidia Quadro NVS 4200 M, OpenCL, Overview, Programming techniques, Tutorial

July 11, 2012 by hgpu

An Introduction to the OpenCL Programming Model

Jonathan Thompson, Kristofer Schlachter

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Tags: ATI, ATI Radeon HD 5850, ATI Radeon HD 6750 M, Computer science, Matrix multiplication, nVidia, nVidia Quadro FX 2000, OpenCL, Overview, Tutorial

May 16, 2012 by hgpu

Parallel programming with CUDA

Jon Nielsen, Truls Mosegaard

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Tags: Algorithms, Computer science, CUDA, N-body simulation, nVidia, nVidia GeForce GTX 480, Overview, Thesis

April 13, 2012 by hgpu

GPU Programming Strategies and Trends in GPU Computing

Andre R. Brodtkorb, Trond R. Hagen, Martin L. Saetra

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Tags: Computer science, Heterogeneous systems, Optimization, Overview

April 2, 2012 by hgpu

Task Parallelism and Synchronization: An Overview of Explicit Parallel Programming Languages

Dounia Khaldi, Pierre Jouvelot, Corinne Ancourt, Francois Irigoin

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Tags: Computer science, OpenCL, Overview, Programming Languages

February 11, 2012 by hgpu

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

Graphics processing unit (GPU) programming strategies and trends in GPU computing

Graphics Card as a Cheap Supercomputer

Future of GPGPU Micro-Architectural Parameters

An Overview of Miscellaneous Applications of GPU Computing

Task Parallelism and Data Distribution: An Overview of Explicit Parallel Programming Languages

Parallel Programming using OpenCL on Modern Architectures

Invitation to a Standard Programming Interface for Massively Parallel Computing Environment: OpenCL

An Introduction to the OpenCL Programming Model

Parallel programming with CUDA

GPU Programming Strategies and Trends in GPU Computing

Task Parallelism and Synchronization: An Overview of Explicit Parallel Programming Languages

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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