High Performance
Discrete Computing Systems
and Technologies
Discrete Computing Systems
and Technologies
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Publication type: talk [total 13]
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2010Supercomputing Applications of the Other Kind: Real-time Parallel Discrete Event Simulations of Large-scale, Smart Infrastructures Kalyan Perumalla IBM T J Watson Research Center, Yorktown Heights, New York 2010 Abstract: Ultra-scale supercomputing hardware is a reality, reaching peta-scale recently and now moving to exa-scale. A rich class of applications has however remained largely untapped to reap supercomputing benefits, namely, parallel discrete event simulations (PDES), partly due to technical challenges, and partly awaiting compelling applications. The recent emergence of new visions of a "smarter" and more agile societal operation has clearly opened new large-scale applications that are directly formulated as grand-scale PDES scenarios executed in an on-line, real-time fashion. Our presentation will focus on highlighting the potential for grand-scale real-time solutions, illustrated using our preliminary efforts in four example application areas: (a) state- or regional-scale vehicular mobility modeling, (b) country- or world-scale epidemic modeling, (c) cyber infrastructure and security operations at the scale of multiple autonomous systems, and, (d) country- or world-scale social behavioral modeling. We believe the context is ripe to envision and formulate similar grand-scale solutions in many additional application areas. The technical vision to progress to such an ambitious goal, however, is highly challenging. We outline some of the salient technical issues, challenges, and potential solution directions in meeting the scale and speed demanded by this "other kind" of supercomputing applications.  2009Switching to High Gear: Opportunities for Grand-scale Real-time Parallel Simulations Kalyan Perumalla ACM International Symposium on Distributed Simulations and Real-time Applications 2009 http://www.cs.unibo.it/ds-rt2009/ Keynote Talk Abstract: The recent emergence of dramatically large computational power, spanning desktops with multi-core processors and multiple graphics cards to supercomputers with 10^5 processor cores, has suddenly resulted in simulation-based solutions trailing behind in the ability to fully tap the new computational capacity. Here, we motivate the need for switching the parallel simulation research to a higher gear to exploit the new, immense levels of computational power. The potential for grand-scale real-time solutions is illustrated using preliminary results from prototypes in four example application areas: (a) state- or regional-scale vehicular mobility modeling, (b) very large-scale epidemic modeling, (c) modeling the propagation of wireless network signals in very large, cluttered terrains, and, (d) country- or world-scale social behavioral modeling. We believe the stage is perfectly poised for the parallel/distributed simulation community to envision and formulate similar grand-scale, real-time simulation-based solutions in many application areas.  2008High Performance Computing-based Experimentation for Cyber Infrastructure and Security Kalyan Perumalla Lawrence Livermore National Laboratory 2008 Feasibility, Efficiency and Limits of Compiler-based Automation for Reversibility of Codes Kalyan Perumalla Lawrence Livermore National Laboratory 2008 Seminar 2007Application-Level Asynchronous Speculative Execution Kalyan Perumalla IBM T.J.Watson Research Center, York Town, New York 2007 2005Parallel and Distributed Systems and the High-Level Architecture Kalyan Perumalla Interservice/Industry Training, Simulation and Education Conference (IITSEC) 2005 Computational Tools for Efficient Large-scale Discrete-Event Models Kalyan Perumalla Oak Ridge National Laboratory 2005 Computational Methods for Efficient Large-scale System Models Kalyan Perumalla Indiana University Purdue University 2005 2003Achieving Interoperability and Scalability in Simulation of Networks Kalyan Perumalla University of Louisville, Louisville, Kentucky 2003 2000Using Reverse Computation towards Efficient Parallel/Distributed Computation Kalyan Perumalla Bell Labs, Lucent Technologies, Murray Hill, New Jersey 2000 Using Reverse Computation towards Efficient Parallel/Distributed Computation Kalyan Perumalla IBM T J Watson Research Center, Yorktown Heights, New York 2000 1998Towards Reusable Modeling and Parallel Simulation of Telecommunication Networks Kalyan Perumalla Bell Labs, Lucent Technologies, Murray Hill, New Jersey 1998 1997Reusable Modeling and Parallel Simulation of Networks using the TeD Language Kalyan Perumalla WINLAB, Rutgers University, Piscataway, New Jersey 1997 SELECT * FROM pubs WHERE PubType=7 ORDER BY PubYear DESC, PubDate DESC, PubAuthors |
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