high performance computing on graphics processing units: hgpu.org

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An Investigation of the Performance Portability of OpenCL

S.J. Pennycook, S.D. Hammond, S.A. Wright, J.A. Herdman, I. Miller, S.A. Jarvis

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Tags: ATI, ATI FirePro V7800, Benchmarking, Computer science, CUDA, Fortran, MPI, nVidia, OpenCL, Package, Performance, Tesla C1060, Tesla C2050

May 21, 2013 by hgpu

3DES ECB Optimized for Massively Parallel CUDA GPU Architecture

Lukasz Swierczewski

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTS 250, Security, Tesla C2050

May 21, 2013 by hgpu

Parallel 5 point SOR for solving the Convection Diffusion equation using graphics processing units

Yiannis Cotronis, Elias Konstantinidis, Maria A. Louka, Nikolaos M. Missirlis

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Tags: Computer science, CUDA, Diffusion equation, nVidia, nVidia GeForce GTX 480, Tesla C2050

May 20, 2013 by hgpu

Solving Linear Equations with Conjugate Gradient Method on OpenCL Platforms

Caner Sayin

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Tags: Computer science, Heterogeneous systems, Linear Algebra, nVidia, OpenCL, Sparse matrix, Tesla C2050, Tesla C2070, Thesis

May 20, 2013 by hgpu

Making the case of GPUs in courses on computational physics

Knut Skogstrand Gjerden

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Tags: Computational Physics, CUBLAS, CUDA, Education, FFT, Mathematical Software, nVidia, nVidia GeForce GTX 320 M, Physics, Tesla C2050

May 17, 2013 by hgpu

Point Spread Function Estimation of Solar Surface Images with a Cooperative Particle Swarm Optimization on GPUs

Peter Frank Perroni

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Tags: Algorithms, Astrophysics, Image processing, nVidia, OpenCL, Package, Particle swarm optimization, Tesla C2050, Thesis

May 16, 2013 by hgpu

Approximative inference for multivariate functional data on massively parallel processors

Lars Lau Raket, Bo Markussen

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Tags: CUDA, Mathematics, nVidia, Tesla C2050

May 15, 2013 by hgpu

A portable and high-performance matrix operations library for CPUs, GPUs and beyond

Rahul Garg, Laurie Hendren

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Tags: ATI, ATI Radeon HD 5850, ATI Radeon HD 7970, Computer science, Matrix multiplication, nVidia, nVidia GeForce GT 650 M, OpenCL, Tesla C2050

May 11, 2013 by hgpu

Accelerating Financial Applications on the GPU

Scott Grauer-Gray, William Killian, Robert Searles, John Cavazos

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Tags: Computational finance, CUDA, Finance, nVidia, OpenACC, OpenCL, Package, Review, Tesla C2050, Tesla K20

May 6, 2013 by hgpu

Algorithms for Rapid Characterization and Optimization of Aperture and Reflector Antennas

Arthur Densmore

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Tags: Algorithms, ATI, ATI Radeon HD 5850, Heterogeneous systems, nVidia, OpenCL, Signal processing, Tesla C2050, Thesis, Visualization

May 6, 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

High Performance Data Leak Detection

Xiaokui Shu, Jing Zhang, Danfeng (Daphne) Yao, Wu-Chun Feng

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

April 30, 2013 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

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

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

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

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

See all packages

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high performance computing on graphics processing units: hgpu.org

An Investigation of the Performance Portability of OpenCL

3DES ECB Optimized for Massively Parallel CUDA GPU Architecture

Parallel 5 point SOR for solving the Convection Diffusion equation using graphics processing units

Solving Linear Equations with Conjugate Gradient Method on OpenCL Platforms

Making the case of GPUs in courses on computational physics

Point Spread Function Estimation of Solar Surface Images with a Cooperative Particle Swarm Optimization on GPUs

Approximative inference for multivariate functional data on massively parallel processors

A portable and high-performance matrix operations library for CPUs, GPUs and beyond

Accelerating Financial Applications on the GPU

Algorithms for Rapid Characterization and Optimization of Aperture and Reflector Antennas

MPI Derived Datatypes Processing on Noncontiguous GPU-resident Data

High Performance Data Leak Detection

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

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

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

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

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