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Parallelization of SAT Algorithms on GPUs

Carlos Costa

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Tags: Algorithms, Computer science, CUDA, nVidia, SAT

July 15, 2013 by hgpu

Exploiting Space and Time Coherence in Grid-based Sorting

Rubens Carlos Silva Oliveira, Claudio Esperanca, Antonio Oliveira

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Tags: Algorithms, ATI, ATI Radeon HD 5870, Collision detection, Computer science, nVidia, nVidia GeForce GT 540 M, OpenCL, Particle simulation, Sorting

July 15, 2013 by hgpu

Near-LSPA Performance at MSA Complexity

Joao Andrade, Gabriel Falcao, Vitor Silva, Joao P. Barreto, Nuno Goncalves, Valentin Savin

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Tags: Computer science, CUDA, nVidia, Parity-check codes, Tesla M2050

July 15, 2013 by hgpu

Benchmarking Intel Xeon Phi to Guide Kernel Design

Jianbin Fang, Ana Lucia Varbanescu, Henk Sips, Lilun Zhang, Yonggang Che, Chuanfu Xu

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Tags: Benchmarking, Computer science, Intel, Intel Phi, Performance

July 14, 2013 by hgpu

The CUDA Handbook: A Comprehensive Guide to GPU Programming

Nicholas Wilt

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Tags: Book, Computer science, CUDA, Image processing, N-body simulation, nVidia, Overview, Package

July 13, 2013 by hgpu

Identifying the Key Features of Intel Xeon Phi: A Comparative Approach

Jianbin Fang, Ana Lucia Varbanescu, Henk Sips

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Tags: Computer science, Intel, Intel Phi, Performance

July 13, 2013 by hgpu

Optimized MFCC Feature Extraction on GPU

Haofeng Kou, Weijia Shang, Ian Lane, Jike Chong

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Speech recognition

July 13, 2013 by hgpu

An acceleration of the algorithm for the nurse rerostering problem on a graphics processing unit

Zdenek Baumelt, Jan Dvorak, Premysl Sucha, Zdenek Hanzalek

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 650 Ti

July 13, 2013 by hgpu

Parallel Graph Processing on Graphics Processors Made Easy

Jianlong Zhong, Bingsheng He

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Package, Tesla C2050

July 12, 2013 by hgpu

OmniDB: Towards Portable and Efficient Query Processing on Parallel CPU/GPU Architectures

Shuhao Zhang, Jiong He, Bingsheng He, Mian Lu

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Tags: AMD, APU, ATI, ATI FirePro V7800, Computer science, Databases, nVidia Quadro K5000, OpenCL

July 12, 2013 by hgpu

Fast PCA-BAsed Face Recognition on GPUs

Youngsang Woo, Cheongyong Yi, Youngmin Yi

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Tags: Algorithms, Biometrics, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 580

July 12, 2013 by hgpu

Hidden Surface Removal Using BSP Tree with CUDA

Murat Uysal, Baha Sen, Canan Celik

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8400 GS, Rendering

July 12, 2013 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

Parallelization of SAT Algorithms on GPUs

Exploiting Space and Time Coherence in Grid-based Sorting

Near-LSPA Performance at MSA Complexity

Benchmarking Intel Xeon Phi to Guide Kernel Design

The CUDA Handbook: A Comprehensive Guide to GPU Programming

Identifying the Key Features of Intel Xeon Phi: A Comparative Approach

Optimized MFCC Feature Extraction on GPU

An acceleration of the algorithm for the nurse rerostering problem on a graphics processing unit

Parallel Graph Processing on Graphics Processors Made Easy

OmniDB: Towards Portable and Efficient Query Processing on Parallel CPU/GPU Architectures

Fast PCA-BAsed Face Recognition on GPUs

Hidden Surface Removal Using BSP Tree with CUDA

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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