High Performance
Discrete Computing Systems
and Technologies
Discrete Computing Systems
and Technologies
|
Publication type: techreport [total 13]
Show full details for all items
2009Scalable Parallel Execution of an Event-based Radio Signal Propagation Model for Cluttered 3D Terrains Sudip Seal and Kalyan Perumalla Oak Ridge National Laboratory 2009 http://www.osti.gov/bridge Technical Report ORNL/TM-2009/165 Abstract: Radio signal strength estimation is essential in many applications, including the design of military radio communications and industrial wireless installations. While classical approaches such as finite difference methods are well-known, new event-based models of radio signal propagation have been recently shown to deliver such estimates faster (via serial execution) than other methods. For scenarios with large or richly-featured geographical volumes however, parallel processing is required to meet the memory and computation time demands. Here, we present a scalable and efficient parallel execution of a recently-developed event-based radio signal propagation model. We demonstrate its scalability to thousands of processors, with parallel speedups over 1000?. The speed and scale achieved by our parallel execution enable larger scenarios and faster execution than has ever been reported before.  Perfect Reversal of Rejection Sampling Methods for First-Passage-Time and Similar Probability Distributions Kalyan Perumalla and Aleksandar Donev Oak Ridge National Laboratory 2009 http://www.osti.gov/bridge Technical Report ORNL/TM-2009/182 Abstract: We present a perfectly reversible method for bi-directional generation of samples from computationally complex probability distributions. While the previously best-known procedures consume memory proportional to the length of execution between changes of execution direction, here we present a scheme to completely eliminate the memory overhead. Our solution affords two important features, namely determinism and repeatability, across arbitrarily spaced changes of direction (and arbitrary number of samples) along the sample stream. We illustrate the perfect reversal method with first passage time distributions that appear in physical system models, and present its implementation and verification in FORTRAN.  2008On the Reversibility of Newton-Raphson Root-Finding Method Kalyan Perumalla, John Wright and Phani Kuruganti Oak Ridge National Laboratory 2008 Technical Report ORNL-2007/152 2006Integrated Analysis of Environment-Driven Operational Effects in Sensor Networks Alfred Park and Kalyan Perumalla Oak Ridge National Laboratory 2006 Technical Report ORNL-2006/537 2003Generating Perfect Reversals of Simple Linear Codes Kalyan Perumalla Center for Experimental Research in Computing Systems, Georgia Institute of Technology 2003 Technical Report GIT-CERCS-TR-03-04 Techniques for Improving Accuracy and Usability in Large-scale Network Emulation Kalyan Perumalla College of Computing, Georgia Institute of Technology 2003 Technical Report GIT-CC-03-04 2000Parallel Simulation Backplanes for Mixed Signal Circuit Design Richard Fujimoto, Kalyan Perumalla and Liang Xiao, Giorgio Casinovi, Madhavan Swaminathan, Siddharth Dalmia, J. Mao Yamacraw Research Report, Georgia Institute of Technology 2000 Technical Report IAB-10-2000 1999Source Code Transformations for Efficient Reversibility Kalyan Perumalla and Richard Fujimoto College of Computing, Georgia Institute of Technology 1999 Technical Report GIT-CC-99-21 1997PARINO: An Extensible Framework for Solving Mixed Integer Programs in Parallel Kalyan Perumalla, Martin Savelsbergh and Umakishore Ramachandran College of Computing, Georgia Institute of Technology 1997 Technical Report GIT-CC-97-07 1996GTW++ -- An Object Oriented Interface in C++ to the Georgia Tech Time Warp System Kalyan Perumalla and Richard Fujimoto College of Computing, Georgia Institute of Technology 1996 Technical Report GIT-CC-96-09 A C++ Instance of TeD Kalyan Perumalla, and Richard Fujimoto College of Computing, Georgia Institute of Technology 1996 Technical Report GIT-CC-96-33 MetaTeD - A Meta Language for Modeling Telecommunication Networks Kalyan Perumalla, Richard Fujimoto and Andrew Ogielski College of Computing, Georgia Institute of Technology 1996 Technical Report GIT-CC-96-32 1995A Performance Prediction Method for ATM Multiplexers C. Anthony Cooper and Kalyan Perumalla Bell Communications Research (Bellcore) 1995 Technical Memorandum TM-25152 SELECT * FROM pubs WHERE PubType=5 ORDER BY PubYear DESC, PubDate DESC, PubAuthors |
PDF