Give


Graduate Exam Abstract


Ryan Friese

Ph.D. Qualifying

February 25, 2014, 8:00 am - 10:00 am

ISTeC conference room, CS 305

N/A - qualifying exam


Abstract: qualifying exam

Adviser: H.J. Siegel
Co-Adviser: Anthony Maciejewski
Non-ECE Member: Patrick Burns, Mechanical Engineering
Member 3: Sudeep Pasricha, Electrical and Computer Engineering
Addional Members: Greg Koenig, Oak Ridge National Lab

Publications:
Ryan Friese, Tyler Brinks, Curt Oliver, Howard Jay Siegel, and Anthony A. Maciejewski, "Analyzing the Trade-offs Between Minimizing Makespan and Minimizing Energy Consumption in a Heterogeneous Resource Allocation Problem," The Second International Conference on Advanced Communications and Computation (INFOCOMP 2012), cosponsors: IARIA et al., pp. 81-89, Venice, Italy, Oct. 2012. Received one of seven "best paper" awards given.

Ryan Friese, Bhavesh Khemka, Anthony A. Maciejewski, Howard Jay Siegel, Gregory A. Koenig, Sarah Powers, Marcia Hilton, Jendra Rambharos, Gene Okonski, and Stephen W. Poole, "An Analysis Framework for Investigating the Trade-offs Between System Performance and Energy Consumption in a Heterogeneous Computing Environment," 22nd Heterogeneity in Computing Workshop (HCW 2013), cosponsors: IEEE Computer Society and U.S. Office of Naval Research, in the proceedings of 2013 International Parallel and Distributed Processing Symposium Workshops and PhD Forum (IPDPSW), pp. 19-30, Boston, MA, May 2013.

Ryan Friese, Tyler Brinks, Curt Oliver, Anthony A. Maciejewski, Howard Jay Siegel, and Sudeep Pasricha, "A Machine-by-Machine Analysis of a Bi-Objective Resource Allocation Problem," The 2013 International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA 2013), Vol. I, sponsor: World Academy of Science and Computer Science Research, Education, and Applications (CSREA), pp. 3-9, Las Vegas, NV, July 2013.

Kyle M. Tarplee, Ryan Friese, Anthony A. Maciejewski, and Howard Jay Siegel, "Efficient and Scalable Computation of the Energy and Makespan Pareto Front for Heterogeneous Computing Systems," 6th Workshop on Computational Optimization (WCO '13), part of the 8th Symposium on Advances in Artificial Intelligence and Applications, in the proceedings of the Federated Conference on Computer Science and Information Systems (FedCSIS 2013), cosponsors: Polish Ministry of Science and Higher Education and Intel, pp. 401-408, Krakow, Poland, Sep. 2013. Received "The 2013 Zdzislaw Pawlak Best Paper Award, by the Award Committee of the 8th Symposium on Advances in Artificial Intelligence and Applications, for the paper 'Efficient and Scalable Computation of the Energy and Makespan Pareto Front for Heterogeneous Computing Systems'."

Paul Maxwell, Anthony A. Maciejewski, Howard Jay Siegel, Jerry Potter, Gregory Pfister, Jay Smith, and Ryan Friese, "Robust Static Planning Tool for Military Village Search Missions: Model and Heuristics," Journal of Defense Modeling and Simulation, Vol. 10, No. 1, pp. 31-47, Jan. 2013.

Paul Maxwell, Ryan Friese, Anthony A. Maciejewski, Howard Jay Siegel, Jerry Potter, and James Smith, "A Demonstration of a Simulation Tool for Planning Robust Military Village Searches," Huntsville Simulation Conference (HSC '10), sponsor: The Society for Modeling & Simulation International, Huntsville, AL, Oct. 2010.

Ryan Friese, Paul Maxwell, Anthony A. Maciejewski, and Howard Jay Siegel, "A Graphical User Interface for Simulating Robust Military Village Searches," International Conference on Modeling, Simulation and Visualization Methods (MSV '11), sponsor: World Academy of Science and Computer Science Research, Education, and Applications (CSREA), pp. 75-81, Las Vegas, NV, July 2011.


Publications to be Reviewed:
Towards energy-aware scheduling in data centers using machine learning

A multi-population genetic algorithm to solve multi-objective scheduling problems for parallel machines

Program of Study:
CS 540
MATH 560
GRAD 544
ECE 555
CS645
ECE 795
ECE 799
N/A