high performance computing on graphics processing units: hgpu.org

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Teaching Parallel Programming Using Java

Aamir Shafi, Aleem Akhtar, Ansar Javed, Bryan Carpenter

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Tags: Computer science, CUDA, Education, Hadoop, Java, MapReduce, MPI, nVidia, Programming techniques, Software Engineering

October 4, 2014 by hgpu

High Level Programming for Heterogeneous Architectures

Oren Segal, Martin Margala, Sai Rahul Chalamalasetti, Mitch Wright

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Tags: Computer science, FPGA, Hadoop, Heterogeneous systems, Java, MapReduce, OpenCL, Performance

August 23, 2014 by hgpu

An Improved Monte Carlo Ray Tracing for Large-Scale Rendering in Hadoop

Rui Li, Yue Zheng

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Tags: 3D Graphics and Realism, Algorithms, Computer science, Hadoop, MapReduce, Raytracing, Rendering

June 17, 2014 by hgpu

Toward optimised skeletons for heterogeneous parallel architecture with performance cost model

Khari A. Armih

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Tags: Computer science, CUDA, GPU cluster, Heterogeneous systems, MapReduce, Matrix multiplication, nVidia, nVidia GeForce GT 520, Thesis

April 21, 2014 by hgpu

Local Alignment Tool Based on Hadoop Framework and GPU Architecture

Che-Lun Hun, Guan-Jie Hua

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Tags: Biology, Cloud, CUDA, Hadoop, MapReduce, nVidia, nVidia GeForce GTS 480, Sequence alignment

April 19, 2014 by hgpu

High-Performance Spatial Query Processing on Big Taxi Trip Data using GPGPUs

Jianting Zhang, Simin You, Le Gruenwald

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Tags: Computer science, CUDA, Hadoop, MapReduce, Nearest neighbour, nVidia, nVidia GeForce GTX Titan

February 14, 2014 by hgpu

A Framework for Productive, Efficient and Portable Parallel Computing

Ekaterina I. Gonina

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Tags: Algorithms, Code generation, Computer science, CUDA, MapReduce, nVidia, nVidia GeForce GTX 480, Package, Python, Thesis

January 12, 2014 by hgpu

XSD: Accelerating MapReduce by Harnessing the GPU inside an SSD

Benjamin Y. Cho, Won Seob Jeong, Doohwan Oh, Won Woo Ro

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Tags: Computer science, GPGPU-sim, MapReduce, nVidia, nVidia GeForce GTX 580, nVidia Tegra

December 20, 2013 by hgpu

Runtime Support toward Transparent Memory Access in GPU-accelerated Heterogeneous Systems

Feng Ji

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Tags: Computer science, Hadoop, Heterogeneous systems, MapReduce, MPI, nVidia, nVidia GeForce GTX 280, Tesla M2070, Thesis

December 11, 2013 by hgpu

Moim: A Multi-GPU MapReduce Framework

Mengjun Xie, Kyoung-Don Kang, Can Basaran

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Tags: Computer science, CUDA, MapReduce, MPI, nVidia, nVidia GeForce GTX 580, Thrust

October 21, 2013 by hgpu

Optimizing the MapReduce Framework on Intel Xeon Phi Coprocessor

Mian Lu, Lei Zhang, Huynh Phung Huynh, Zhongliang Ong, Yun Liang, Bingsheng He, Rick Siow Mong Goh, Richard Huynh

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Tags: Benchmarking, Computer science, Intel Phi, MapReduce

September 4, 2013 by hgpu

Accelerating Text Mining Workloads in a MapReduce-based Distributed GPU Environment

Peter Wittek, Sandor Daranyi

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Tags: Algorithms, Computer science, CUDA, MapReduce, nVidia, Package, Self-organizing map, Tesla M2050, Text mining

August 31, 2013 by hgpu

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

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

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

Teaching Parallel Programming Using Java

High Level Programming for Heterogeneous Architectures

An Improved Monte Carlo Ray Tracing for Large-Scale Rendering in Hadoop

Toward optimised skeletons for heterogeneous parallel architecture with performance cost model

High-Performance Spatial Query Processing on Big Taxi Trip Data using GPGPUs

A Framework for Productive, Efficient and Portable Parallel Computing

XSD: Accelerating MapReduce by Harnessing the GPU inside an SSD

Runtime Support toward Transparent Memory Access in GPU-accelerated Heterogeneous Systems

Moim: A Multi-GPU MapReduce Framework

Optimizing the MapReduce Framework on Intel Xeon Phi Coprocessor

Accelerating Text Mining Workloads in a MapReduce-based Distributed GPU Environment

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

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

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

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

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

Most viewed papers (last 30 days)