SCIRun2: A CCA Framework for High Performance Computing

Santa Fe, New Mexico, USA April 26-April 26

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http://doi.ieeecomputersociety.org/10.1109/HIPS.2004.1299192

Ninth International Workshop on High- ...

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	Keming Zhang, Kostadin Damevski, Venkatanand Venkatachalapathy, Steven G. Parker, "SCIRun2: A CCA Framework for High Performance Computing," High-Level Programming Models and Supportive Environments, International Workshop on, pp. 72-79, Ninth International Workshop on High-Level Parallel Programming Models and Supportive Environments (HIPS'04), 2004.

	BibTex	x
	@article{ 10.1109/HIPS.2004.1299192, author = {Keming Zhang and Kostadin Damevski and Venkatanand Venkatachalapathy and Steven G. Parker}, title = {SCIRun2: A CCA Framework for High Performance Computing}, journal ={High-Level Programming Models and Supportive Environments, International Workshop on}, volume = {0}, year = {2004}, isbn = {0-7695-2151-7}, pages = {72-79}, doi = {http://doi.ieeecomputersociety.org/10.1109/HIPS.2004.1299192}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - High-Level Programming Models and Supportive Environments, International Workshop on TI - SCIRun2: A CCA Framework for High Performance Computing SN - 0-7695-2151-7 SP72 EP79 A1 - Keming Zhang, A1 - Kostadin Damevski, A1 - Venkatanand Venkatachalapathy, A1 - Steven G. Parker, PY - 2004 KW - null VL - 0 JA - High-Level Programming Models and Supportive Environments, International Workshop on ER -

Keming Zhang, University of Utah

Kostadin Damevski, University of Utah

Venkatanand Venkatachalapathy, University of Utah

Steven G. Parker, University of Utah

We present an overview of the SCIRun2 parallel component framework. SCIRun2 is based on the Common Component Architecture (CCA) [2, 5] and the SCI Institutes? SCIRun [10]. SCIRun2 supports distributed computing through distributed objects. Parallel components are managed transparently over an MxN method invocation and data redistribution subsystem. A meta component model based on CCA is used to accommodate multiple component models such as CCA, CORBA and Dataflow. A group of monitoring components built on top of the TAU toolkit [13] evaluate the performance of the other components.

Citation:

Keming Zhang, Kostadin Damevski, Venkatanand Venkatachalapathy, Steven G. Parker, "SCIRun2: A CCA Framework for High Performance Computing," hips, pp.72-79, Ninth International Workshop on High-Level Parallel Programming Models and Supportive Environments (HIPS'04), 2004

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