high performance computing on graphics processing units: hgpu.org

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Energy efficiency of finite difference algorithms on multicore CPUs, GPUs, and Intel Xeon Phi processors

Satya P. Jammy, Christian T. Jacobs, David J. Lusher, Neil D. Sandham

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Tags: Algorithms, Computer science, CUDA, Energy-efficient computing, Finite difference, Intel Xeon Phi, nVidia, Tesla K40

October 3, 2017 by hgpu

Generating Custom Code for Efficient Query Execution on Heterogeneous Processors

Sebastian Bress, Bastian Kocher, Henning Funke, Tilmann Rabl, Volker Markl

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Tags: APU, Computer science, Databases, Heterogeneous systems, Intel Xeon Phi, nVidia, OpenCL, Tesla K40

September 7, 2017 by hgpu

Accelerating recurrent neural network training using sequence bucketing and multi-GPU data parallelization

Viacheslav Khomenko, Oleg Shyshkov, Olga Radyvonenko, Kostiantyn Bokhan

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Tags: Algorithms, Computer science, Deep learning, LSTM, Neural networks, nVidia, Tesla K40, Theano

September 7, 2017 by hgpu

Integer sorting on multicores: some (experiments and) observations

Alexandros V. Gerbessiotis

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Tags: Algorithms, Computer science, CUDA, Intel Xeon Phi, nVidia, Performance, Sorting, Tesla K40

September 3, 2017 by hgpu

Performance Analysis of Open Source Machine Learning Frameworks for Various Parameters in Single-Threaded and Multi-Threaded Modes

Yuriy Kochura, Sergii Stirenko, Oleg Alienin, Michail Novotarskiy, Yuri Gordienko

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Tags: Computer science, CUDA, Deep learning, Image recognition, Java, Machine learning, Neural networks, nVidia, nVidia GeForce GTX Titan, Performance, TensorFlow, Tesla K40

September 3, 2017 by hgpu

GARDENIA: A Domain-specific Benchmark Suite for Next-generation Accelerators

Zhen Xu, Xuhao Chen, Jie Shen, Yang Zhang, Cheng Chen, Canqun Yang

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Tags: Benchmarking, Computer science, CUDA, Graph theory, Machine learning, nVidia, Package, Tesla K40

August 17, 2017 by hgpu

Directive-Based Partitioning and Pipelining for Graphical Processing Units

X. Cui, T. R. W. Scogland, B. R. de Supinski, W. Feng

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Tags: ATI, ATI Radeon HD 7970, Computer science, CUDA, nVidia, OpenACC, OpenCL, OpenMP, Performance, Task scheduling, Tesla K40

August 1, 2017 by hgpu

FUX-Sim: Implementation of a fast universal simulation/reconstruction framework for X-ray systems

Monica Abella, Estefania Serrano, Javier Garcia-Blas, Ines Garcia, Claudia de Molina, Jesus Carretero, Manuel Desco

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Tags: Algorithms, Computer science, CUDA, Image reconstruction, nVidia, OpenCL, Tesla K40

July 25, 2017 by hgpu

Automatically Selecting Profitable Thread Block Sizes Using Machine Learning

Tiffany A. Connors

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Tags: Computer science, CUDA, Machine learning, nVidia, Performance, Tesla K40, Thesis

July 22, 2017 by hgpu

GPU LSM: A Dynamic Dictionary Data Structure for the GPU

Saman Ashkiani, Shengren Li, Martin Farach-Colton, Nina Amenta, John D. Owens

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia, Sorting, Tesla K40

July 19, 2017 by hgpu

A Fast Method For Computing Principal Curvatures From Range Images

Andrew Spek, Wai Ho Li, Tom Drummond

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Tags: Computer science, Computer vision, CUDA, nVidia, Package, Tesla K40

July 5, 2017 by hgpu

Deep neural networks for direct, featureless learning through observation: the case of 2d spin models

K. Mills, I. Tamblyn

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Tags: Condensed matter, CUDA, Deep learning, Ising model, Materials Science, Neural networks, nVidia, Phase transition, Physics, Tesla K40

July 2, 2017 by hgpu

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Synkhronos: a Multi-GPU Theano Extension for Data Parallelism

SoAx: A generic C++ Structure of Arrays for handling Particles in HPC Codes

GPGPU-Treewidth: A GPU implementation for computing the treewidth of a graph

Computing Treewidth on the GPU

containers-benchs: Just a bunch of method and scripts to test performances with containers

Performance Evaluation of Container-based Virtualization for High Performance Computing Environments

OpenCL Actors - Adding Data Parallelism to Actor-based Programming with CAF

OpenCL Actors – Adding Data Parallelism to Actor-based Programming with CAF

GALARIO: a GPU Accelerated Library for Analysing Radio Interferometer Observations

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high performance computing on graphics processing units: hgpu.org

Energy efficiency of finite difference algorithms on multicore CPUs, GPUs, and Intel Xeon Phi processors

Generating Custom Code for Efficient Query Execution on Heterogeneous Processors

Accelerating recurrent neural network training using sequence bucketing and multi-GPU data parallelization

Integer sorting on multicores: some (experiments and) observations

Performance Analysis of Open Source Machine Learning Frameworks for Various Parameters in Single-Threaded and Multi-Threaded Modes

GARDENIA: A Domain-specific Benchmark Suite for Next-generation Accelerators

Directive-Based Partitioning and Pipelining for Graphical Processing Units

FUX-Sim: Implementation of a fast universal simulation/reconstruction framework for X-ray systems

Automatically Selecting Profitable Thread Block Sizes Using Machine Learning

GPU LSM: A Dynamic Dictionary Data Structure for the GPU

A Fast Method For Computing Principal Curvatures From Range Images

Deep neural networks for direct, featureless learning through observation: the case of 2d spin models

Recent source codes

Synkhronos: a Multi-GPU Theano Extension for Data Parallelism

SoAx: A generic C++ Structure of Arrays for handling Particles in HPC Codes

GPGPU-Treewidth: A GPU implementation for computing the treewidth of a graph

containers-benchs: Just a bunch of method and scripts to test performances with containers

OpenCL Actors - Adding Data Parallelism to Actor-based Programming with CAF

GALARIO: a GPU Accelerated Library for Analysing Radio Interferometer Observations

CCSQCDSolverBench: CCS QCD Solver benchmark program (MIC(KNC) version)

TuneBench: Simple tunable OpenCL kernels for many-core accelerators

ZZGemmOoc: GPU GEMM out-of-core solvers

styletransfer: Real-time neural style transfer via meta networks

Most viewed papers (last 30 days)

Featured events

6th International Workshop on OpenCL (IWOCL), 2018

The 2nd International Conference on Machine Learning and Soft Computing (ICMLSC), 2018

10th International Conference on Computer and Automation Engineering (ICCAE), 2018

The 2nd International Conference on Mechanical, Aeronautical and Automotive Engineering (ICMAA), 2018

The 2nd International Conference on Cryptography, Security and Privacy (ICCSP), 2018