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Towards Automatic Learning of Heuristics for Mechanical Transformations of Procedural Code

Guillermo Vigueras, Manuel Carro, Salvador Tamarit, Julio Marino

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Tags: Computer science, Heterogeneous systems, Machine learning, OpenCL, Programming Languages

March 15, 2016 by hgpu

Revisiting Actor Programming in C++

Dominik Charousset, Raphael Hiesgen, Thomas C. Schmidt

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Tags: Algorithms, Computer science, Heterogeneous systems, MPI, nVidia, OpenCL, OpenMPI, Package, Programming Languages, Tesla C2075

May 28, 2015 by hgpu

Locally-Oriented Programming: A Simple Programming Model for Stencil-Based Computations on Multi-Level Distributed Memory Architectures

Craig Rasmussen, Matthew Sottile, Daniel Nagle, Soren Rasmussen

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Tags: Computer science, OpenCL, Programming Languages

February 13, 2015 by hgpu

Patterns and Rewrite Rules for Systematic Code Generation (From High-Level Functional Patterns to High-Performance OpenCL Code)

Michel Steuwer, Christian Fensch, Christophe Dubach

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Tags: ATI, ATI Radeon HD 7970, Code generation, Computer science, nVidia, nVidia GeForce GTX 480, OpenCL, Performance, Programming Languages

February 10, 2015 by hgpu

C++ AMP: Accelerated Massive Parallelism with Microsoft Visual C++

Kate Gregory, Ade Miller

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Tags: Book, C++ AMP, Programming Languages

December 13, 2014 by AlexVlx

IPMACC: Open Source OpenACC to CUDA/OpenCL Translator

Ahmad Lashgar, Alireza Majidi, Amirali Baniasadi

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Tags: Computer science, CUDA, nVidia, OpenACC, OpenCL, Programming Languages, Tesla K20

December 5, 2014 by hgpu

Enhancing R with Advanced Compilation Tools and Methods

Duncan Temple Lang

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Tags: Computer science, CUDA, Mathematical Software, nVidia, Programming Languages

September 11, 2014 by hgpu

ADHA: Automatic Data layout framework for Heterogeneous Architectures

Deepak Majeti, Kuldeep S. Meel, Rajkishore Barik, Vivek Sarkar

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Tags: Benchmarking, Compilers, Computer science, Heterogeneous systems, nVidia, OpenCL, Programming Languages, Tesla M2050

July 24, 2014 by hgpu

Loo.py: transformation-based code generation for GPUs and CPUs

Andreas Klockner

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Tags: ATI, ATI Radeon HD 7990, Code generation, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX Titan, OpenCL, Package, Programming Languages, PyOpenCL, Python

June 2, 2014 by hgpu

Augur: a Modeling Language for Data-Parallel Probabilistic Inference

Jean-Baptiste Tristan, Daniel Huang, Joseph Tassarotti, Adam Pocock, Stephen J. Green, Guy L. Steele Jr

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Tags: Bayesian, CUDA, Machine learning, Mathematics, nVidia, nVidia GeForce GTX Titan, Programming Languages, Statistics

December 13, 2013 by hgpu

Exploring GPGPU Acceleration of Process-Oriented Simulations

Frederick R.M. Barnes, Thomas Pressnell, Brendan Le Foll

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 590, Package, Programming Languages

November 26, 2013 by hgpu

A Methodology for Translating C-Programs to OpenCL

Krishnahari Thouti, S. R. Sathe

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Tags: Code generation, Compilers, Computer science, nVidia, nVidia Quadro FX 3800, OpenCL, Programming Languages

November 16, 2013 by hgpu

CLUEstering: a high-performance density-based clustering library for scientific computing

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high performance computing on graphics processing units: hgpu.org

Towards Automatic Learning of Heuristics for Mechanical Transformations of Procedural Code

Revisiting Actor Programming in C++

Locally-Oriented Programming: A Simple Programming Model for Stencil-Based Computations on Multi-Level Distributed Memory Architectures

Patterns and Rewrite Rules for Systematic Code Generation (From High-Level Functional Patterns to High-Performance OpenCL Code)

C++ AMP: Accelerated Massive Parallelism with Microsoft Visual C++

IPMACC: Open Source OpenACC to CUDA/OpenCL Translator

Enhancing R with Advanced Compilation Tools and Methods

ADHA: Automatic Data layout framework for Heterogeneous Architectures

Loo.py: transformation-based code generation for GPUs and CPUs

Augur: a Modeling Language for Data-Parallel Probabilistic Inference

Exploring GPGPU Acceleration of Process-Oriented Simulations

A Methodology for Translating C-Programs to OpenCL

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