ParaGraph: Graph editor support for parallel programming environments

Bailey, Duane A.; Cuny, Janice E.; Loomis, Craig

doi:10.1007/bf01407832

Cited by 20 publications

(3 citation statements)

References 13 publications

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“…These, although successful in some manner, use graph-based representations of programs and seem to factor out the importance of data in structuring computations. Nonetheless, the most successful are GRADE [18], CODE 2.0 [19], Millipede [20] and ParaGraph [21]. GRADE uses graphs to represent message-passing parallelism, with workflow representations at the process level.…”

Section: Related Workmentioning

confidence: 99%

HARPPIE: Hyper algorithmic recipe for productive parallelism intensive endeavors

Monteiro¹

2012

2012 34th International Conference on Software Engineering (ICSE)

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Over the last few years, Parallelism has been gaining increasing importance and multicore processing is now common. Massification of parallelism is driving research and development of novel techniques to overcome current limits of Parallel Computing. However, the scope of parallelization research focuses mainly on ever-increasing performance and much still remains to be accomplished regarding improving productivity in the development of parallel software. This PhD research aims to develop methods and tools to dilute parallel programming complexity and enable nonexpert programmer to fully benefit from a new generation of parallelism-driven programming platforms. Although much work remains to be done to reduce the skill requirements for parallel programming to become within reach of medium-skill programming workforces, it is our belief that this research will help bridge that gap.

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Section: Related Workmentioning

confidence: 99%

HARPPIE: Hyper algorithmic recipe for productive parallelism intensive endeavors

Monteiro¹

2012

2012 34th International Conference on Software Engineering (ICSE)

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“…The ParaGraph system [BA191] uses graph grammars to specify graphs that have runtime determined structure.…”

Section: Code Project Historymentioning

confidence: 99%

The CODE 2.0 graphical parallel programming language

Newton¹,

Browne²

1992

Proceedings of the 6th International Conference on Supercomputing - ICS '92

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“…we developed a grammar-based editor -called ParaGraph 2 -that provides a "friendly" user interface [4]. 'sing ParaGraph.…”

Section: Parallel Program Specificationmentioning

confidence: 99%

Graphics-Based Parallel Programming Tools

Cuny¹

1991

Self Cite

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EMNet Address: cunvucs.umass.edu S Iq 4 Z,, ONR Contract Number: N00014-89-J-1492 RESEARCH DESCRIPTION OverviewHighly parallel architectures will be useful in meeting the demands of computationally intensive tasks only to the extent that it is possible to write efficient parallel software. The problems are enormous. The parallel programmer must simultaneously code for multiple processes. orchestrating their communication and synchronization: he must efficiently map logical processes onto disparate hardware configurations and schedule their execution. Further, he must debug -both for correctness and performance -in spite of a

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ParaGraph: Graph editor support for parallel programming environments

Cited by 20 publications

References 13 publications

HARPPIE: Hyper algorithmic recipe for productive parallelism intensive endeavors

HARPPIE: Hyper algorithmic recipe for productive parallelism intensive endeavors

The CODE 2.0 graphical parallel programming language

Graphics-Based Parallel Programming Tools

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