Upc

El‐Ghazawi, Tarek; Carlson, William; Sterling, Thomas; Yelick, Katherine

doi:10.1002/0471478369

Cited by 118 publications

(15 citation statements)

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“…The language APL provided a model for several of these operations, and some parallel versions of APL have appeared. Languages such as C* [Thinking Machines Corporation, 1991], UPC [El-Ghazawi, Carlson, Sterline, Yellick, 2005], OpenMP [OpenMP Architecture Review Board, 2005], and FORTRAN 90 [Brainerd, Goldberg, and Adams, 1990] also provide for some forms of global operations, as do message-passing systems such as MPI [Snir, Otto, Huss-Lederman, Walker, and Dongarra, 1995]. Reduction operations are so important that most parallelizing compilers detect them automatically, even if they have no explicit support for other global operations.…”

Section: Global Operationsmentioning

confidence: 99%

Algorithmic Techniques for Regular Networks of Processors

Miller

Stout

2009

Chapman &Amp; Hall/CRC Applied Algorithms and Data Structures Series

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Section: Global Operationsmentioning

confidence: 99%

Algorithmic Techniques for Regular Networks of Processors

Miller

Stout

2009

Chapman &Amp; Hall/CRC Applied Algorithms and Data Structures Series

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“…Several research projects and providers of execution environments work on tools and frameworks to extend a specific programming language or Problem Solving Environment (PSE) with features to enable their product for parallel execution, e.g. parallel fortran [1], Unified-Parallel C (UPC) [2], MATLAB [3]. Cloud providers offer program language specific APIs for their Cloud environment to enable developers to integrate applications into the Cloud, e.g.…”

Section: Introductionmentioning

confidence: 99%

DEF - a programming language agnostic framework and execution environment for the parallel execution of library routines

Feilhauer

Sobotka

2016

J Cloud Comp

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There is high demand for library routines that can be included into arbitrary programs and executed in parallel in the Cloud. So our approach is to provide a framework that supports the parallelized execution of library routines, written in different programming languages, from any platform. Our Distributed Execution Framework (DEF) allows to (1) deploy arbitrary routines into a central library and (2) integrate these library routines at runtime into user programs in a way that allows the routines to be executed in parallel in the Cloud. The programming and runtime environment of the library routine is completely transparent to the user and the chosen programming and runtime environment. DEF provides client and library APIs with primitives like search_lib(), create_task(), submit_job() which are integrated into the user's program to access the DEF runtime. DEF allows the user to configure clusters in a public/private Cloud and automatically distributes the tasks for executing the library routines on the workers of the cluster.

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“…Since most of today's parallel computers are a collection of shared memory compute nodes interconnected via a communication network, some application programs are written using both MPI and OpenMP and some using only MPI. Unified Parallel C [7,8] is an extension of C for parallel execution on shared or distributed memory parallel machines. Some scientific applications are written entirely in UPC instead of MPI and/or OpenMP.…”

Section: Introductionmentioning

confidence: 99%

The Importance of Run-Time Error Detection

Luecke

Coyle²,

Hoekstra³

et al. 2010

Tools for High Performance Computing 2009

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Abstract. The ability of system software to detect and issue error messages that help programmers quickly fix serial and parallel run-time errors is an important productivity criterion for developing and maintaining application programs. Over ten thousand run-time error tests and a run-time error detection (RTED) evaluation tool has been developed for the automatic evaluation of run-time error detection capabilities for serial errors and for parallel errors in MPI, OpenMP and UPC programs. Evaluation results, tests and the RTED evaluation tool are freely available at http://rted.public.iastate.edu. Many compilers, tools and run-time systems scored poorly on these tests. The authors make recommendations for providing better RTED in the future.

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Upc

Cited by 118 publications

References 0 publications

Algorithmic Techniques for Regular Networks of Processors

Algorithmic Techniques for Regular Networks of Processors

DEF - a programming language agnostic framework and execution environment for the parallel execution of library routines

The Importance of Run-Time Error Detection

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