high performance computing on graphics processing units: hgpu.org

Claudio Bonati, Enrico Calore, Simone Coscetti, Massimo D'Elia, Michele Mesiti, Francesco Negro, Sebastiano Fabio Schifano, Giorgio Silvi, Raffaele Tripiccione

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Tags: AMD FirePro W9100, ATI, Computational Physics, Heterogeneous systems, High Energy Physics - Lattice, nVidia, OpenACC, performance portability, Physics, QCD, Tesla K80, Tesla P100

January 4, 2017 by hgpu

Toward Automatic Translation: From OpenACC to OpenMP 4

Nawrin Sultana

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Tags: Algorithms, Code generation, Compilers, Computer science, nVidia, OpenACC, OpenMP, Tesla K40, Thesis

December 17, 2016 by hgpu

Translating OpenMP Device Constructs to OpenCL using Unnecessary Data Transfer Elimination

Junghyun Kim, Yong-Jun Lee, Jungho Park, Jaejin Lee

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Tags: AMD Radeon R9 390X, ATI, Benchmarking, Code generation, Computer science, nVidia, nVidia GeForce GTX Titan X, OpenACC, OpenCL, OpenMP

December 14, 2016 by hgpu

Parallelization and Performance of the NIM Weather Model for CPU, GPU and MIC Processors

Mark Govett, Jim Rosinski, Jacques Middlecoff, Tom Henderson, Jin Lee, Alexander MacDonald, Paul Madden, Julie Schramm, Antonio Duarte

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Tags: CUDA, Earth and Space Sciences, Fortran, Intel Xeon Phi, nVidia, OpenACC, Tesla K80, Weather prediction, Weather Prediction Model

December 6, 2016 by hgpu

OpenACC cache Directive: Opportunities and Optimizations

Ahmad Lashgar, Amirali Baniasadi

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Tags: Code generation, Computer science, CUDA, nVidia, OpenACC, OpenCL, Package, Performance, Tesla K20

December 3, 2016 by hgpu

A Metric for Performance Portability

S. J. Pennycook, J. D. Sewall, V. W. Lee

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Tags: Computer science, CUDA, OpenACC, OpenCL, Performance, performance portability

November 25, 2016 by hgpu

Lattice QCD simulations using the OpenACC platform

Pushan Majumdar

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Tags: CUDA, HEP, High Energy Physics - Lattice, nVidia, OpenACC, Physics, QCD, Tesla X2090

November 19, 2016 by hgpu

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MECCA development in accelerators - KPP Fortran to CUDA source-to-source pre-processor

MEDINA: MECCA Development in Accelerators – KPP Fortran to CUDA source-to-source Preprocessor

Internally-maintained tool for examining GPU scheduling behavior

Inferring the Scheduling Policies of an Embedded CUDA GPU

CLBlast: Tuned OpenCL BLAS

CLBlast: A Tuned OpenCL BLAS Library

Open source implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning

Efficient Parallel Methods for Deep Reinforcement Learning

IDA*

Block-Parallel IDA* for GPUs

Repository for 1D Swept rule scheme written in CUDA C

Accelerating solutions of PDEs with GPU-based swept time-space decomposition

DeepMetabolism: a deep learning algorithm to predict phenotype from genome sequencing

DeepMetabolism: A Deep Learning System to Predict Phenotype from Genome Sequencing

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high performance computing on graphics processing units: hgpu.org

Benchmarking OpenCL, OpenACC, OpenMP, and CUDA: programming productivity, performance, and energy consumption

A hybrid CPU-GPU parallelization scheme of variable neighborhood search for inventory optimization problems

Comparing Programmer Productivity in OpenACC and CUDA: an Empirical Investigation

Optimization of Lattice Boltzmann Simulations on Heterogeneous Computers

Performance and Portability of Accelerated Lattice Boltzmann Applications with OpenACC

Design and optimization of a portable LQCD Monte Carlo code using OpenACC

Toward Automatic Translation: From OpenACC to OpenMP 4

Translating OpenMP Device Constructs to OpenCL using Unnecessary Data Transfer Elimination

Parallelization and Performance of the NIM Weather Model for CPU, GPU and MIC Processors

OpenACC cache Directive: Opportunities and Optimizations

A Metric for Performance Portability

Lattice QCD simulations using the OpenACC platform

Recent source codes

MECCA development in accelerators - KPP Fortran to CUDA source-to-source pre-processor

Internally-maintained tool for examining GPU scheduling behavior

CLBlast: Tuned OpenCL BLAS

Open source implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning

IDA*

Repository for 1D Swept rule scheme written in CUDA C

DeepMetabolism: a deep learning algorithm to predict phenotype from genome sequencing

OpenDwarfs

parallel-si: Efficient Parallel Strategy Improvement for Parity Games

AVX-512 sort functions

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4th International Conference on Biomedical and Bioinformatics Engineering (ICBBE), 2017

9th International Conference on Signal Processing Systems (ICSPS), 2017

The 5th International conference on Control, Mechatronics and Automation (ICCMA), 2017

8th International Conference on Biology, Environment and Chemistry (ICBEC), 2017

2nd International Conference on Communication and Information Systems (ICCIS), 2017