high performance computing on graphics processing units: hgpu.org

Jayanth Chennamangalam, Simon Scott, Glenn Jones, Hong Chen, John Ford, Amanda Kepley, D. R. Lorimer, Jun Nie, Richard Prestage, D. Anish Roshi, Mark Wagner, Dan Werthimer

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Tags: Astrophysics, CUDA, FFT, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GTX Titan, Package, Signal processing

November 5, 2014 by hgpu

Bayesian Neural Networks in Data-Intensive High Energy Physics Applications

Michelle Perry

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Tags: Bayesian, CUDA, High Energy Physics - Phenomenology, Neural networks, nVidia, nVidia GeForce GT 320 M, Physics, Tesla M2050

October 27, 2014 by hgpu

High-Dimensional Adaptive Particle Swarm Optimization on Heterogeneous Systems

M. P. Wachowiak, B. B. Sarlo, A. E. Lambe Foster

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Tags: Computational Physics, CUDA, Heterogeneous systems, nVidia, Particle swarm optimization, Physics, Tesla S1070

October 20, 2014 by hgpu

Cholla : A New Massively-Parallel Hydrodynamics Code For Astrophysical Simulation

Evan E. Schneider, Brant E. Robertson

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Tags: Astrophysics, Computational Physics, CUDA, Fluid dynamics, Instrumentation and Methods for Astrophysics, nVidia, Physics, Tesla K20

October 18, 2014 by hgpu

Parallel Programming and Compressed Material Data for an Eulerian Code

Matthew Thomas Calef, John Greaton Wohlbier

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Tags: CUDA, nVidia, OpenCL, Physics, Tesla M2090

October 16, 2014 by hgpu

SYCL-DNN: The SYCL-DNN neural network acceleration library

Accelerated Neural Networks on OpenCL Devices Using SYCL-DNN

OpenCL vs: Accelerated Finite-Difference Digital Synthesis

SYCL-BLAS: An implementation of BLAS using the SYCL open standard for acceleration on OpenCL devices

Cross-Platform Performance Portability Using Highly Parametrized SYCL Kernels

High Performance Monte Carlo Simulation of Ising Model on TPU Clusters

SkePU2: Autotunable Multi-Backend Skeleton Programming Framework for Multicore CPU and Multi-GPU Systems

Hybrid CPU-GPU execution support in the skeleton programming framework SkePU

HeteroMap: Performance Predictors for Graph Analytics

HeteroMap: A Runtime Performance Predictor for Efficient Processing of Graph Analytics on Heterogeneous Multi-Accelerators

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2019

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Boston, USA

7th International Workshop on OpenCL, 2019

2019

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Boston, MA, USA

Distributed Heterogeneous Programming in C/C++ (DHPCC++), 2019

2019

May

Larnaca, Cyprus

3rd International Workshop on Theoretical Approaches to Performance Evaluation, Modeling and Simulation (TAPEMS), 2019

2019

July

26-28

Rome, Italy

International Conference on Frontiers of Neural Networks (ICFNN), 2019

2019

July

26-28

Rome, Italy

International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML), 2019

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high performance computing on graphics processing units: hgpu.org

Applications

Using Graphics Processing Units to solve the classical N-body problem in physics and astrophysics

Conjugate gradient solvers on Intel Xeon Phi and NVIDIA GPUs

Parallel Neutrino Triggers using GPUs for an underwater telescope

The Q Continuum Simulation: Harnessing the Power of GPU Accelerated Supercomputers

Semi-Analytic Solutions to the Radiative Transfer Equations via Hetergeneous Computing

Grace: a Cross-platform Micromagnetic Simulator On Graphics Processing Units

Code Optimization on Kepler GPUs and Xeon Phi

A GPU-Based Wide-Band Radio Spectrometer

Bayesian Neural Networks in Data-Intensive High Energy Physics Applications

High-Dimensional Adaptive Particle Swarm Optimization on Heterogeneous Systems

Cholla : A New Massively-Parallel Hydrodynamics Code For Astrophysical Simulation

Parallel Programming and Compressed Material Data for an Eulerian Code

Recent source codes

SYCL-DNN: The SYCL-DNN neural network acceleration library

OpenCL vs: Accelerated Finite-Difference Digital Synthesis

SYCL-BLAS: An implementation of BLAS using the SYCL open standard for acceleration on OpenCL devices

High Performance Monte Carlo Simulation of Ising Model on TPU Clusters

The Study of the OpenCL Processing Models for the FPGA Device

TonY: a framework to natively run deep learning frameworks on Apache Hadoop

fairseq: Facebook AI Research Sequence-to-Sequence Toolkit written in Python

mARGOt: Dynamic Application Autotuning for Self-Aware Approximate Computing

SkePU2: Autotunable Multi-Backend Skeleton Programming Framework for Multicore CPU and Multi-GPU Systems

HeteroMap: Performance Predictors for Graph Analytics

Most viewed papers (last 30 days)

Featured events

7th International Workshop on OpenCL, 2019

Distributed Heterogeneous Programming in C/C++ (DHPCC++), 2019

3rd International Workshop on Theoretical Approaches to Performance Evaluation, Modeling and Simulation (TAPEMS), 2019

International Conference on Frontiers of Neural Networks (ICFNN), 2019

International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML), 2019