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GenBase: A Complex Analytics Genomics Benchmark

Rebecca Taft, Manasi Vartak, Nadathur Rajagopalan Satish, Narayanan Sundaram, Samuel Madden, Michael Stonebraker

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

November 30, 2013 by hgpu

Fractal Based Method on Hardware Acceleration for Natural Environments

Divya Udayan J, HyungSeok Kim, Jun Lee, Jee-In Kim

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 650, Rendering

November 30, 2013 by hgpu

Digitize Your Body and Action in 3-D at Over 10 FPS: Real Time Dense Voxel Reconstruction and Marker-less Motion Tracking via GPU Acceleration

Jian Song, Yatao Bian, Junchi Yan, Xu Zhao, Yuncai Liu

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Tags: Algorithms, ATI, ATI Radeon HD 6870, Computer science, Computer vision, Graphics, OpenCL, OpenCV

November 30, 2013 by hgpu

GPU Accelerated Parallel Occupancy Voxel Based ICP for Position Tracking

Adrian Ratter, Claude Sammut

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce GTX 570, OpenCL

November 30, 2013 by hgpu

Benchmarking Parallel Performance on Many-Core Processors

Bryant C. Lam, Ajay Barboza, Ravi Agrawal, Alan D. George, Herman Lam

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Tags: Benchmarking, Computer science, Heterogeneous systems, Intel Phi, Intel Xeon Phi, Performance

November 29, 2013 by hgpu

The Future of Accelerator Programming: Abstraction, Performance or Can We Have Both?

Kamil Rocki, Martin Burtscher, Reiji Suda

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Tags: ATI, ATI Radeon HD 7970, Computer science, Intel Phi, Intel Xeon Phi, nVidia, nVidia GeForce GTX Titan, OpenCL, Performance, Programming techniques

November 28, 2013 by hgpu

The Use of Automated Search in Deriving Software Testing Strategies

Simon Marcus Poulding

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Tags: Algorithms, Computer science, CUDA, Metaheuristics, nVidia, Tesla C1060, Thesis

November 28, 2013 by hgpu

American Basket Option Pricing on a multi GPU Cluster

Michael Benguigui, Francoise Baude

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Tags: Algorithms, Computer science, GPU cluster, nVidia, OpenCL, Tesla M2050, Tesla S1070

November 28, 2013 by hgpu

Hybrid Programming using OpenSHMEM and OpenACC

Matthew Baker, Swaroop Pophale, Jean-Charles Vasnier, Haoqiang Jin, Oscar Hernandez

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Tags: Computer science, CUDA, MPI, nVidia, OpenACC, Performance, Tesla K20

November 28, 2013 by hgpu

Accelerated Primality Testing Using GPUs

Duncan McBain

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Tags: Computer science, CUDA, FFT, nVidia, nVidia GeForce GTX 570, Thesis

November 27, 2013 by hgpu

Autotuning of Pattern Runtimes for Accelerated Parallel Systems

Enes Bajrovic, Siegfried Benkner, Jiri Dokulil, Martin Sandrieser

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Tesla C1060, Tesla C2050

November 27, 2013 by hgpu

Evaluating the Performance and Energy Efficiency of N-Body Codes on Multi-Core CPUs and GPUs

Ivan Zecena, Martin Burtscher, Tongdan Jin, Ziliang Zong

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Tags: Computer science, CUDA, N-body simulation, nVidia, nVidia GeForce GTX 480, Performance

November 27, 2013 by hgpu

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

GPPerf: Energy-Aware GPU Performance Prediction and Optimization Framework

Understanding GEMM Performance and Energy on NVIDIA Ada Lovelace: A Machine Learning-Based Analytical Approach

HiRep

Scaling SU(2) to 1000 GPUs using HiRep

Gaia AVU-GSR

Performance portability via C++ PSTL, SYCL, OpenMP, and HIP: the Gaia AVU-GSR case study

gpuPairHMM: Ultra-fast GPU-based PairHMM for DNA Variant Calling

gpuPairHMM: High-speed Pair-HMM Forward Algorithm for DNA Variant Calling on GPUs

See all packages

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high performance computing on graphics processing units: hgpu.org

GenBase: A Complex Analytics Genomics Benchmark

Fractal Based Method on Hardware Acceleration for Natural Environments

Digitize Your Body and Action in 3-D at Over 10 FPS: Real Time Dense Voxel Reconstruction and Marker-less Motion Tracking via GPU Acceleration

GPU Accelerated Parallel Occupancy Voxel Based ICP for Position Tracking

Benchmarking Parallel Performance on Many-Core Processors

The Future of Accelerator Programming: Abstraction, Performance or Can We Have Both?

The Use of Automated Search in Deriving Software Testing Strategies

American Basket Option Pricing on a multi GPU Cluster

Hybrid Programming using OpenSHMEM and OpenACC

Accelerated Primality Testing Using GPUs

Autotuning of Pattern Runtimes for Accelerated Parallel Systems

Evaluating the Performance and Energy Efficiency of N-Body Codes on Multi-Core CPUs and GPUs

Recent source codes

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

SW#SYCL

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

GPPerf: Energy-Aware GPU Performance Prediction and Optimization Framework

HiRep

Gaia AVU-GSR

gpuPairHMM: Ultra-fast GPU-based PairHMM for DNA Variant Calling

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