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APUNet: Revitalizing GPU as Packet Processing Accelerator

Younghwan Go, Muhammad Jamshed, YoungGyoun Moon, Changho Hwang, KyoungSoo Park

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Tags: Algorithms, AMD, APU, ATI, Computer science, nVidia, nVidia GeForce GTX 980, OpenCL, Performance

March 28, 2017 by hgpu

TREES: A CPU/GPU Task-Parallel Runtime with Explicit Epoch Synchronization

Blake A. Hechtman, Andrew D. Hilton, Daniel J. Sorin

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Tags: AMD, APU, Computer science, OpenCL, Operating systems, Programming Languages

August 4, 2016 by hgpu

Fast reconstruction of 3D volumes from 2D CT projection data with GPUs

M. Leeser, S. Mukherjee, J. Brock

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Tags: AMD, AMD Radeon HD 7970, Computed tomography, CT, CUDA, Heterogeneous systems, Medicine, nVidia, OpenCL, Tesla C2075

September 1, 2014 by hgpu

Implementation of Just In Time Value Specialization for the Optimization of Data Parallel Kernels

N. Tuck

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Tags: AMD, ATI Radeon 5830, High-level Languages, nVidia, nVidia GeForce GTX 650 Ti, OpenCL, Programming techniques, Thesis

March 28, 2014 by hgpu

Multi-tier Dynamic Vectorization for Translating GPU Optimizations into CPU Performance

Hee-Seok Kim, Izzat El Hajj, John A. Stratton, Wen-Mei W. Hwu

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Tags: AMD, Computer science, nVidia, OpenCL, Performance

February 12, 2014 by hgpu

Hybrid strategy for stencil computations on the APU

Pacome Eberhart, Issam Said, Pierre Fortin

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Tags: AMD, APU, Computer science, Numerical Analysis, OpenCL, Partial differential equations

January 26, 2014 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

Scaling Deep Learning on GPU and Knights Landing clusters

ParTeCL: parallel testing using OpenCL

DenseNet: Densely Connected Convolutional Networks

Memory-Efficient Implementation of DenseNets

SVMbenchmark: CUDA and OpenCL SVM training benchmark

A Comparison of Support Vector Machines Training GPU-Accelerated Open Source Implementations

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high performance computing on graphics processing units: hgpu.org

APUNet: Revitalizing GPU as Packet Processing Accelerator

TREES: A CPU/GPU Task-Parallel Runtime with Explicit Epoch Synchronization

Fast reconstruction of 3D volumes from 2D CT projection data with GPUs

Implementation of Just In Time Value Specialization for the Optimization of Data Parallel Kernels

Multi-tier Dynamic Vectorization for Translating GPU Optimizations into CPU Performance

Hybrid strategy for stencil computations on the APU

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

Recent source codes

Scaling Deep Learning on GPU and Knights Landing clusters

Gpufit: GPU-accelerated Levenberg-Marquardt curve fitting in CUDA

GARDENIA: Graph Analytics Repository for Designing Next-Generation Accelerators

GPU-benchmarks

bit-reversal-methods

bifrost: A stream processing framework for high-throughput applications

NEMATUS: Open-Source Neural Machine Translation in Theano

ParTeCL: parallel testing using OpenCL

DenseNet: Densely Connected Convolutional Networks

SVMbenchmark: CUDA and OpenCL SVM training benchmark

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Featured events

International Conference on Intelligent Autonomous Systems (ICIAS), 2018

International Conference on Robotics and Intelligent System (ICRIS), 2018

International Conference on Image and Graphics Processing (ICIGP), 2018

8th International Conference on Bioscience, Biochemistry and Bioinformatics (ICBBB), 2018

The 10th International Conference on Computer Modeling and Simulation (ICCMS), 2018