Parallel programming model

Results: 267



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31Opening the Black Boxes in Data Flow Optimization †4 Fabian Hueske*1 Mathias Peters†2 Matthias J. Sax†3 Astrid Rheinlander

Opening the Black Boxes in Data Flow Optimization †4 Fabian Hueske*1 Mathias Peters†2 Matthias J. Sax†3 Astrid Rheinlander

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Source URL: stratosphere.eu

Language: English - Date: 2016-05-27 12:05:58
32DOI: CSIS120712021M  EasyFJP: Providing Hybrid Parallelism as a Concern for Divide and Conquer Java Applications Cristian Mateos1 , Alejandro Zunino1 , and Mat´ıas Hirsch2 1

DOI: CSIS120712021M EasyFJP: Providing Hybrid Parallelism as a Concern for Divide and Conquer Java Applications Cristian Mateos1 , Alejandro Zunino1 , and Mat´ıas Hirsch2 1

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Source URL: www.doiserbia.nb.rs

Language: English - Date: 2013-07-08 04:57:56
33Computer Science Technical Report  A Performance Model for Unified Parallel C Zhang Zhang  Michigan Technological University

Computer Science Technical Report A Performance Model for Unified Parallel C Zhang Zhang Michigan Technological University

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Source URL: www.upc.mtu.edu

Language: English
34Hierarchical Computation in the SPMD Programming Model Amir Kamil Katherine Yelick

Hierarchical Computation in the SPMD Programming Model Amir Kamil Katherine Yelick

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Source URL: titanium.cs.berkeley.edu

Language: English - Date: 2014-04-29 05:38:23
35DYNAMIC PARALLELISM IN CUDA  Dynamic Parallelism in CUDA is supported via an extension to the CUDA programming model that enables a CUDA kernel to create and synchronize new nested work. Basically, a child CUDA Kernel ca

DYNAMIC PARALLELISM IN CUDA Dynamic Parallelism in CUDA is supported via an extension to the CUDA programming model that enables a CUDA kernel to create and synchronize new nested work. Basically, a child CUDA Kernel ca

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Source URL: developer.download.nvidia.com

Language: English - Date: 2012-05-15 19:13:40
36Parallel Feature Selection inspired by Group Testing Yingbo Zhou∗ Utkarsh Porwal∗ CSE Department SUNY at Buffalo {yingbozh, utkarshp}@buffalo.edu

Parallel Feature Selection inspired by Group Testing Yingbo Zhou∗ Utkarsh Porwal∗ CSE Department SUNY at Buffalo {yingbozh, utkarshp}@buffalo.edu

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Source URL: papers.nips.cc

Language: English - Date: 2014-12-02 18:42:35
37How to miscompile programs with “benign” data races Hans-J. Boehm HP Laboratories Abstract Several prior research contributions [15, 9] have explored

How to miscompile programs with “benign” data races Hans-J. Boehm HP Laboratories Abstract Several prior research contributions [15, 9] have explored

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Source URL: www.hboehm.info

Language: English - Date: 2014-02-06 19:37:25
38The C11 and C++11 Concurrency Model Mark John Batty Wolfson College University of Cambridge  Saturday 29th November, 2014

The C11 and C++11 Concurrency Model Mark John Batty Wolfson College University of Cambridge Saturday 29th November, 2014

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Source URL: www.sigplan.org

Language: English - Date: 2016-02-02 16:06:41
391 Remote Memory Access Programming in MPI-3 Torsten Hoefler, ETH Zurich James Dinan, Intel Corporation Rajeev Thakur, Argonne National Laboratory Brian Barrett, Sandia National Laboratories

1 Remote Memory Access Programming in MPI-3 Torsten Hoefler, ETH Zurich James Dinan, Intel Corporation Rajeev Thakur, Argonne National Laboratory Brian Barrett, Sandia National Laboratories

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Source URL: htor.inf.ethz.ch

Language: English - Date: 2014-12-04 09:45:54