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An Improved CUDA-Based Implementation of Differential Evolution on GPU

A. K. Qin, Federico Raimondo, Florence Forbes, Yew Soon Ong

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Tags: Computer science, CUDA, Differential evolution, nVidia, nVidia GeForce GTX 560

June 18, 2012 by hgpu

OpenCL for programming shared memory multicore CPUs

Akhtar Ali, Usman Dastgeer, Christoph Kessler

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Tags: Computer science, Heterogeneous systems, nVidia, OpenCL, Performance, Tesla M2050

June 18, 2012 by hgpu

OpenACC – First Experiences with Real-World Applications

Sandra Wienke, Paul Springer, Christian Terboven, Dieter an Mey

Tags: Computer science, Fortran, Heterogeneous systems, nVidia, OpenACC, OpenCL, Tesla C2050

June 18, 2012 by hgpu

GPUmotif: An Ultra-Fast and Energy-Efficient Motif Analysis Program Using Graphics Processing Units

Pooya Zandevakili, Ming Hu, Zhaohui Qin

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Tags: Algorithms, Biochemistry, Biology, Chemistry, Computational biology, Computer science, CUDA, Genetics, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 480, Package

June 17, 2012 by hgpu

Branch and Data Herding: Reducing Control and Memory Divergence for Error-tolerant GPU Applications

John Sartori, Rakesh Kumar

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Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce GTX 480

June 17, 2012 by hgpu

ScatterAlloc: Massively Parallel Dynamic Memory Allocation for the GPU

Steinberger Markus, Kenzel Michael, Kainz Bernhard, Schmalstieg Dieter

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Tags: Computer science, CUDA, Hashing, Memory, nVidia, nVidia Quadro FX 6000, Package

June 16, 2012 by hgpu

E-MOGA: A General Purpose Platform for Multi Objective Genetic Algorithm running on CUDA

Sami M. Salamin, Mohammed Aldasht, Hashem Tamimi

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 9500 GTX, Optimization

June 16, 2012 by hgpu

Accelerating Lambert’s Problem on the GPU in MATLAB

Nathan L. Parrish

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Tags: Algorithms, Computer science, CUDA, Fortran, nVidia, nVidia GeForce GT 430, nVidia GeForce GT 540 M, nVidia GeForce GTX 560 Ti, Package

June 16, 2012 by hgpu

Parallel Primitives based Spatial Join of Geospatial Data on GPGPUs

Jianting Zhang

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Tags: Algorithms, Computer science, CUDA, Data parallelism, Databases, nVidia, nVidia Quadro FX 6000, Package

June 16, 2012 by hgpu

GiST Scan Acceleration using Coprocessors

Felix Beier, Torsten Kilias, Kai-Uwe Sattler

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Tags: Collision detection, Computer science, CUDA, nVidia, Raytracing, Tesla C2050

June 16, 2012 by hgpu

Energy Efficiency Analysis of GPUs

Juan M. Cebrian, Gines D. Guerrero, Jose M. Garcia

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Tags: Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce GTX 465, nVidia GeForce GTX 480

June 15, 2012 by hgpu

SAGA: SystemC Acceleration on GPU Architectures

Sara Vinco, Debapriya Chatterjee, Valeria Bertacco, Franco Fummi

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Performance

June 14, 2012 by hgpu

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

Analyzing the Performance Portability of SYCL across CPUs, GPUs, and Hybrid Systems with Protein Database Search

tdg-benchs: benchmarks used to test the performance of taskgraph

Leveraging the potential of task-based programming with OpenMP task graphs

LLOR: Automatic Repair of OpenMP Programs

LLOR: Automated Repair of OpenMP Programs

Solomon: Simple Off-LOading Macros Orchestrating multiple Notations

Unified schemes for directive-based GPU offloading

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

PyOMP: Parallel programming for CPUs and GPUs with OpenMP and Python

See all packages

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high performance computing on graphics processing units: hgpu.org

An Improved CUDA-Based Implementation of Differential Evolution on GPU

OpenCL for programming shared memory multicore CPUs

OpenACC – First Experiences with Real-World Applications

GPUmotif: An Ultra-Fast and Energy-Efficient Motif Analysis Program Using Graphics Processing Units

Branch and Data Herding: Reducing Control and Memory Divergence for Error-tolerant GPU Applications

ScatterAlloc: Massively Parallel Dynamic Memory Allocation for the GPU

E-MOGA: A General Purpose Platform for Multi Objective Genetic Algorithm running on CUDA

Accelerating Lambert’s Problem on the GPU in MATLAB

Parallel Primitives based Spatial Join of Geospatial Data on GPGPUs

GiST Scan Acceleration using Coprocessors

Energy Efficiency Analysis of GPUs

SAGA: SystemC Acceleration on GPU Architectures

Recent source codes

Matrix multiplication using Tensor Cores in CUDA

CPP Joules: Energy Measurement tool for CPP/CUDA programs

HPC-Coder-v2

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

tdg-benchs: benchmarks used to test the performance of taskgraph

LLOR: Automatic Repair of OpenMP Programs

Solomon: Simple Off-LOading Macros Orchestrating multiple Notations

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

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