high performance computing on graphics processing units: hgpu.org

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CUBPT: Lock-free bulk insertions to B+ tree on GPU architecture

Yulong Huang, Benyue Su, Jianqing Xi

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 570

December 5, 2014 by hgpu

Heterogeneous High Throughput Scientific Computing with APM X-Gene and Intel Xeon Phi

David Abdurachmanov, Brian Bockelman, Peter Elmer, Giulio Eulisse, Robert Knight, Shahzad Muzaffar

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Tags: ARM, Computational Physics, Computer science, Distributed computing, Heterogeneous systems, High Energy Physics - Experiment, Intel Xeon Phi, Physics

December 5, 2014 by hgpu

IPMACC: Open Source OpenACC to CUDA/OpenCL Translator

Ahmad Lashgar, Alireza Majidi, Amirali Baniasadi

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Tags: Computer science, CUDA, nVidia, OpenACC, OpenCL, Programming Languages, Tesla K20

December 5, 2014 by hgpu

Implementation of k-Means Clustering Algorithm in CUDA

Hanu Hooda, Rainu Nanda

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Tags: Algorithms, Clustering, Computer science, CUDA, Data mining, nVidia, nVidia GeForce 8800 GTX

December 3, 2014 by hgpu

Parallelization of a novel frequent itemset hiding algorithm on a CPU-GPU platform

Samuel Bacha Heye

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Tags: Algorithms, Computer science, Data mining, nVidia, nVidia GeForce GT 635 M, OpenCL, Thesis

December 3, 2014 by hgpu

Real-Time Hair Rendering

Markus Rapp

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Tags: 3D Graphics and Realism, Algorithms, Computer science, nVidia, nVidia GeForce GTX 580, OpenGL, Rendering, Tessellation, Thesis

December 2, 2014 by hgpu

SiftCU: An Accelerated Cuda Based Implementation of SIFT

Mahdi S. Mohammadi, Mehdi Rezaeian

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GT 440 GT, nVidia GeForce GTX 670, Package

December 2, 2014 by hgpu

An Approach for Maximizing Performance on Heterogeneous Clusters of CPU and GPU

Nam-Luc Tran, Sabri Skhiri, Arnaud Schils, Edgar Isaac Hiroshi Leon Saiki

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Tags: Computer science, CUDA, Heterogeneous systems, Machine learning, Nearest neighbour, nVidia, nVidia GeForce GTX Titan, Package

December 2, 2014 by hgpu

Scalability and Optimization Strategies for GPU Enhanced Neural Networks (GeNN)

Naresh Balaji, Esin Yavuz, Thomas Nowotny

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Tags: Algorithms, Code generation, Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GT 755 M, Package

December 2, 2014 by hgpu

GPU accelerated feature algorithms for mobile devices

Seth Hall

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Tags: Algorithms, Augmented reality, Clustering, Computer science, Computer vision, OpenCV, OpenGL, Thesis

December 2, 2014 by hgpu

An Open-Source GPU-Accelerated Feature Extraction Tool

Josef Michalek, Jan Vanek

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Tags: Computer science, CUDA, Machine learning, nVidia, nVidia GeForce GTX 660, OpenCL, Speech recognition

December 1, 2014 by hgpu

GPU Declarative Framework

Robert W. Senser, Jr.

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Tags: AMD Radeon R9 270, ATI, Code generation, Computer science, Filtering, Image processing, Matrix inversion, nVidia, OpenCL, Sorting, Tesla S2050, Tesla T20, Thesis

December 1, 2014 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

CUBPT: Lock-free bulk insertions to B+ tree on GPU architecture

Heterogeneous High Throughput Scientific Computing with APM X-Gene and Intel Xeon Phi

IPMACC: Open Source OpenACC to CUDA/OpenCL Translator

Implementation of k-Means Clustering Algorithm in CUDA

Parallelization of a novel frequent itemset hiding algorithm on a CPU-GPU platform

Real-Time Hair Rendering

SiftCU: An Accelerated Cuda Based Implementation of SIFT

An Approach for Maximizing Performance on Heterogeneous Clusters of CPU and GPU

Scalability and Optimization Strategies for GPU Enhanced Neural Networks (GeNN)

GPU accelerated feature algorithms for mobile devices

An Open-Source GPU-Accelerated Feature Extraction Tool

GPU Declarative Framework

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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