high performance computing on graphics processing units: hgpu.org

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Programmability and Performance Portability Aspects of Heterogeneous Multi-/Manycore Systems

Christoph Kessler, Usman Dastgeer, Samuel Thibault, Raymond Namyst, Andrew Richards, Uwe Dolinsky, Siegfried Benkner, Jesper Larsson Traff, Sabri Pllana

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Tags: Computer science, CUDA, Heterogeneous systems, MPI, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Performance, Tesla C1060, Tesla C2050

January 24, 2013 by hgpu

Data parallel patterns on CPU/GPU mix

T. Serban, M. Danelutto, M. Coppola

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Tags: Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce GT 540, nVidia GeForce GTX 285, Tesla C2050

January 22, 2013 by hgpu

Parallel Distributed Face Search System for National and Border Security

Brian C. Lovell, Abbas Bigdeli, Sandra Mau

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Tags: Biometrics, Computer science, Computer vision, nVidia, nVidia GeForce GTX 285, OpenCL, Security

January 20, 2013 by hgpu

Optimizations in Bioinformatics using GPU Processing on Binary Data

Manuel Belmadani

Tags: Algorithms, Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GTX 285

January 8, 2013 by hgpu

Acceleration of Hardware Testing and Validation Algorithms using Graphics Processing Units

Min Li

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Tags: Algorithms, Computer science, CUDA, Electronic design automation, Fault simulation, nVidia, nVidia GeForce GTX 285, Thesis

November 25, 2012 by hgpu

A simple method to accelerate fringe analysis algorithms based on graphics processing unit and MATLAB

Wenjing Gao, Qian Kemao

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Tags: Algorithms, Computer science, CUDA, FFT, nVidia, nVidia GeForce GTX 285

November 14, 2012 by hgpu

Efficient implementation of data flow graphs on multi-gpu clusters

Vincent Boulos, Sylvain Huet, Vincent Fristot, Luc Salvo, Dominique Houzet

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Tags: Algorithms, CUDA, GPU cluster, Image processing, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 460 M, Signal processing

November 7, 2012 by hgpu

Comparative Evaluation of Binary Features

Jared Heinly, Enrique Dunn, Jan-Michael Frahm

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Tags: Computer science, Computer vision, nVidia, nVidia GeForce GTX 285

October 18, 2012 by hgpu

Optimal structure of face detection algorithm using GPU architecture

Dmitry Pertsau

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 460

October 16, 2012 by hgpu

AeminiumGPU: An Intelligent Framework for GPU Programming

Alcides Fonseca, Bruno Cabral

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Source codes

Tags: Computer science, Heterogeneous systems, Java, MapReduce, nVidia, nVidia GeForce GTX 285, OpenCL, Package

October 13, 2012 by hgpu

Extendable Pattern-Oriented Optimization Directives (extended version)

Huimin Cui, Jingling Xue, Lei Wang, Yang Yang, Xiaobing Feng, Dongrui Fan

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Tags: Compilers, Computer science, nVidia, nVidia GeForce GTX 285, Optimization, Performance

October 13, 2012 by hgpu

CADDIES: A New Framework for Rapid Development of Parallel Cellular Automata Algorithms for Flood Simulation

Michele Guidolin, Andrew Duncan, Bidur Ghimire, Mike Gibson, Edward Keedwell, Albert S. Chen, Slobodan Djordjevic, Dragan Savic

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Tags: Algorithms, Cellular automata, Computer science, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 550 Ti, OpenCL

October 2, 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

Programmability and Performance Portability Aspects of Heterogeneous Multi-/Manycore Systems

Data parallel patterns on CPU/GPU mix

Parallel Distributed Face Search System for National and Border Security

Optimizations in Bioinformatics using GPU Processing on Binary Data

Acceleration of Hardware Testing and Validation Algorithms using Graphics Processing Units

A simple method to accelerate fringe analysis algorithms based on graphics processing unit and MATLAB

Efficient implementation of data flow graphs on multi-gpu clusters

Comparative Evaluation of Binary Features

Optimal structure of face detection algorithm using GPU architecture

AeminiumGPU: An Intelligent Framework for GPU Programming

Extendable Pattern-Oriented Optimization Directives (extended version)

CADDIES: A New Framework for Rapid Development of Parallel Cellular Automata Algorithms for Flood Simulation

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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