SIMPAR: a portable object-oriented simulation-science-based metamodel framework for performance modeling, prediction, and evaluation of HPC systems

Guru Prasad; Pankaj Gupta

doi:10.1117/12.542285

13 August 2004 SIMPAR: a portable object-oriented simulation-science-based metamodel framework for performance modeling, prediction, and evaluation of HPC systems

Guru Prasad, Pankaj Gupta

Author Affiliations +

Proceedings Volume 5423, Enabling Technologies for Simulation Science VIII; (2004) https://doi.org/10.1117/12.542285
Event: Defense and Security, 2004, Orlando, Florida, United States

Abstract

We present a novel, portable, platform-independent, object-oriented, simulation-science-based, metamodel framework (SimPar) for performance evaluation, estimation, and prediction of High-Performance Computing (HPC) systems. This UML-based, parallel meta-model enhances the Bulk Synchronous Parallel (BSP) computation model. The UML activity diagram is used to model the computation, communication, and synchronization operations of an application. We also identify the UML building blocks that characterize the message passing and shared memory parallel paradigms. This helps in modeling large and complex parallel applications. Using the collaboration diagram concept, parallel applications are mapped onto different multiprocessor architecture topologies such as hypercube, 2D mesh, ring, tree, star, etc. We present unique UML structural and behavioral extensions for modeling the inter-object interactions in BSP model. The communication semantics such as BROADCAST, GATHER, and SCATTER are incorporated in the metamodel using UML building blocks. In its present form, UML cannot satisfy all the modeling needs. In addition, none of the currently available tool sets deploy UML-based modeling. This underscores the uniqueness of parallel, cluster-based UML-enhanced framework presented here. We have validated the proposed model through benchmarks, simulation-science case studies and real-time parallel applications.

Citation Download Citation

Guru Prasad and Pankaj Gupta "SIMPAR: a portable object-oriented simulation-science-based metamodel framework for performance modeling, prediction, and evaluation of HPC systems", Proc. SPIE 5423, Enabling Technologies for Simulation Science VIII, (13 August 2004); https://doi.org/10.1117/12.542285

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available