Journal Articles

• pdf Robust Performance-Based Resource Provisioning Using a Steady-State Model for Multi-Objective Stochastic Programming. Kyle M. Tarplee, Anthony A. Maciejewski, and Howard Jay Siegel, IEEE Transactions on Cloud Computing vol. PP, pp. 1 - 1 (2016)
• pdf Energy and Makespan Tradeoffs in Heterogeneous Computing Systems using Efficient Linear Programming Techniques. Kyle M. Tarplee, Ryan Friese, Anthony A. Maciejewski, and Howard Jay Siegel, IEEE Transactions on Parallel and Distributed Systems (2015)
• pdf Scalable Linear Programming Based Resource Allocation for Makespan Minimization in Heterogeneous Computing Systems. Kyle M. Tarplee, Ryan Friese, Anthony A. Maciejewski, and Howard Jay Siegel, Journal of Parallel and Distributed Computing vol. 84, pp. 76 - 86 (2015)

Conference Proceedings and Presentations

• pdf Distributed multiple-hypothesis correlation and feedback with applications to video data. Kyle M. Tarplee, David J. Trawick, and Shawn M. Herman, Proc. SPIE 6969, 696912 (2008), DOI:10.1117/12.775899
• pdf Multisensor 3D tracking for counter small unmanned air vehicles (CSUAV). Juan R. Vasquez, Kyle M. Tarplee, Ellen E. Case, Anne M. Zelnio, and Brian D. Rigling, Proc. SPIE 6971, 697107 (2008), DOI:10.1117/12.785531
• pdf Autonomous target dependent waveband selection for tracking in performance-driven hyperspectral sensing. Sabino M. Gadaleta, John P. Kerekes, Kyle M. Tarplee, Proc. SPIE 8390, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII, 839023 (May 1, 2012); DOI:10.1117/12.916978
• pdf Efficient and Scalable Computation of the Energy and Makespan Pareto Front for Heterogeneous Computing Systems. Kyle M. Tarplee, Ryan Friese, Anthony A. Maciejewski, and Howard Jay Siegel, 6th Workshop on Computational Optimization (WCO 2013), in the proceedings of the Federated Conference on Computer Science and Information Systems (FedCSIS 2013), cosponsors: Polskie Towaszystwo Informatycznq (PTI), iBS PAN, AGH University of Science and Technology, and Wroclaw University of Economics (UE), Krakow, Poland, Sep. 2013.
  • presentation (2013-09-08) html pdf pptx
  • best paper award: 2013 Zdzislaw Pawlak Best Paper Award, by the Award Committee of the 8th Symposium on Advances in Artificial Intelligence and Applications
• Efficient Bi-objective Optimization of Energy and Makespan for Exascale Heterogeneous Computing Systems. Kyle M. Tarplee, Ryan Friese, Anthony A. Maciejewski, and Howard Jay Siegel, sponsor: Schloss Dagstuhl - Leibniz Center for Informatics, Wadern, Germany, Sep. 2013. Invited presentation. Presented by Professor Maciejewski
• pdf Energy-Aware Profit Maximizing Scheduling Algorithm for Heterogeneous Computing Systems. Kyle M. Tarplee, Anthony A. Maciejewski, and Howard Jay Siegel, Extreme Green and Energy Efficiency in Large Scale Distributed Systems Workshop (ExtremeGreen 2014), cosponsors: IEEE Computer Society and the ACM, in the proceedings of the 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2014), Chicago, IL, May 2014
  • presentation (2014-05-26) html pdf

Book Chapters

• pdf Efficient and Scalable Pareto Front Generation for Energy and Makespan in Heterogeneous Computing Systems. Kyle M. Tarplee, Ryan Friese, Anthony A. Maciejewski, and Howard Jay Siegel, in Recent Advances in Computational Optimization, Studies in Computational Intelligence Series, Springer, pp. 161-180, 2015

Reviews Performed

• Journal of Cluster Computing, 2013
• IEEE International Parallel Distributed Processing Symposium (IPDPS), Heterogeneity in Computing Workshop (HCW), 2015