Graduate Exam Abstract
December 19, 2012, 9:00AM
Stochastically Robust, Deadline and Energy Constrained Dynamic Resource Allocation in a Heterogeneous Computing Environment
Abstract: In this presentation, I will first discuss my completed research on dynamic resource allocation within a heterogeneous computing system under a deadline and energy constraint. I will then discuss my current work on static scheduling of Directed Acyclic Graphs on a heterogeneous system under an energy and makespan constraint. I will conclude by discussing my future directions to finish my research.
Adviser: Dr. Anthony Maciejewski
Co-Adviser: Dr. H.J. Siegel
Non-ECE Member: Dr. Patrick J. Burns, Libraries
Member 3: Dr. James T. Smith II, ECE
Addional Members: Dr. Sudeep Pasricha
Bobby Dalton Young, Jonathan Apodaca, Luis Diego Briceño, Jay Smith, Sudeep Pasricha, Anthony A. Maciejewski, Howard Jay Siegel, Bhavesh Khemka, Shirish Bahirat, Adrian Ramirez, and Yong Zou, "Deadline and Energy Constrained Dynamic Resource Allocation in a Heterogeneous Computing Environment," the Journal of Supercomputing, 2012, pp. 1-22.
Bobby Dalton Young, Jonathan Apodaca, Luis Diego Briceno, Jay Smith, Sudeep Pasricha, Anthony A. Maciejewski, Howard Jay Siegel, Bhavesh Khemka, Shirish Bahirat, Adrian Ramirez, and Yong Zou, "Energy-Constrained Dynamic Resource Allocation in a Heterogeneous Computing Environment," 4th International Workshop on Parallel Programming Models and Systems Software for High-End Computing (P2S2 '11), in the proceedings of the ICPP 2011 Workshops (ICPPW), Sep. 2011, pp. 298-307.
Jonathan Apodaca, Dalton Young, Luis Briceno, James Smith, Sudeep Pasricha, Anthony Maciejewski, Howard Siegel, Shirish Bahirat, Bhavesh Khemka, Adrian Ramirez and Zou Yong, "Stochastically Robust Static Resource Allocation for Energy Minimization with a Makespan Constraint in a Heterogeneous Computing Environment," 9th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA '11), Dec. 2011, pp. 22-31.
Howard Jay Siegel and Bobby Dalton Young, "The PASM Parallel Processing System," in Springer Encyclopedia of Parallel Computing, edited by David Padua, Springer, New York, NY, 2011, pp. 1465-1476.
Program of Study: