Michael E. Papka

Education

Ph.D. Computer Science (2009) The University of Chicago

M.S. Computer Science (2002) The University of Chicago

M.S. Electrical Engineering and Computer Science (1994) University of Illinois at Chicago

B.S. Physics (1990) Northern Illinois University

Professional Affiliations & Memberships

Deputy Associate Laboratory Director/Director, Argonne Leadership Computing Facility

Argonne National Laboratory

Senior Member: ACM, IEEE 

Member: AAAS 

Reviewer: International Symposium on Visual Computing, IEEE Visualization Conference, IEEE Information Visualization Conference, IEEE Visualization and Analysis Conference, NSF Major Research Instrumentation and Strategic Technologies for Cyberinfrastructure Programs 

Steering Committee: Large Data Analysis and Visualization Symposium 

General Chair: IEEE Visualization 2015 

Advisory Board Member: Harvard Univer- sity Computational Science and Engineering Advisory Board (2012–Present), Loyola University Chicago Computer Science Advisory Committee (2015–Present), Advisory Board for the NSF Funded Precipitating Change: Integrating Meteorology, Mathematics, and Computational Thinking (2016–Present), Steering Committee for the Chicago Quantum Exchange (2017– Present) 

Editorial Board Member: IEEE Computing in Science and Engineering (CiSE) (Department Editor for Leadership Computing) (2015–Present)

Awards

(selected)

James M. Lufkin Best Paper Award - Improving models of document cycling: Accounting for the less visible writing activities of an annual reporting process at a supercomputing facility at the 2016 IEEE International Professional Com- munication Conference (IPCC)

Honorable Mention - Parallel Distributed, GPU-Accelerated, Advanced Lighting Calculations for Large-Scale Volume Visualization at the 6th IEEE Symposium on Large-Scale Data Analysis and Visualization (LDAV 2016)

Excellence in Teaching Award - NIU Department of Computer Science (2015–2016)

Best Poster Award - Streaming Ultra High Resolution Images to Large Tiled Display at Nearly Interactive Frame Rates with vl3 at the 5th IEEE Symposium on Large-Scale Data Analysis and Visualization (LDAV ’15)

Best Paper Award - Exploring Void Search for Fault Detection on Extreme Scale Systems at IEEE Cluster 2014

Publications

Recent Publications selected from more than 150 peer-reviewed publications

Kostuk, M. et al. Automatic between-pulse analysis of DIII-D experimental data performed remotely on a supercomputer at Argonne Leadership Computing Facility, Fusion Science and Technology (2017).

Wallace, S. et al, Application power profiling on IBM Blue Gene/Q, Parallel Computing 57, pp. 73-86 (2016).

Childers, J. T. et al. An Edge Service for Managing HPC Workflows, Proceedings of the Fourth International Workshop on HPC User Support Tools (HUST’17), Article No. 1, Denver, CO (2017).

Fujiwara, T. et al. A Visual Analytics System for Optimizing Communications in Massively Parallel Applications, 2017 IEEE Conference on Visual Analytics Science and Technology (VAST), Phoenix, AZ (2017)

Y. Fan, et al. Trade-Off Between Prediction Accuracy and Underestimation Rate in Job Runtime Estimates, 2017 IEEE International Conference on Cluster Computing (CLUSTER), pp. 530-540, Honolulu, HI (2017).

Read, S. and Papka, M. E. Operational metrics reporting processes at scientific user facilities: Comparing a high- energy x-ray synchrotron facility to a supercomputing facility, 2017 IEEE International Professional Communication Conference (ProComm), pp. 1-6, Madison, WI (2017).

Marrinan, T. et al. Automated Dynamic Data Redistribution, 2017 IEEE Parallel and Distributed Processing Sym- posium Workshops (IPDPSW), pp. 1208-1215, May 29, 2017.

Childers, J. T. et al. Adapting the serial Alpgen parton-interaction generator to simulate LHC collisions on millions of parallel threads, Computer Physics Communications 210, pp. 54-59 (2016).

Reda, K. et al. Modeling and Evaluating User Behavior in Exploratory Visual Analysis, Information Visualization 15(4), pp. 325-339 (2016).

Usher, W. et al. In Situ Exploration of Particle Simulations with CPU Ray Tracing, Supercomputing Frontiers and Innovations 3(4), pp. 4-18 (2016).

Perdikaris, P. et al. Visualizing Multiphysics, Fluid-Structure Interaction Phenomena in Intracranial Aneurysms, Parallel Computing 55, pp. 9-16 (2016).

Gyulassy, A. et al. Interstitial and Interlayer Ion Diffusion Geometry Extraction in Graphitic Nanosphere Battery Mate- rials, IEEE Transactions on Visualization and Computer Graphics, 22(1):916-925, January 2016.

Bui, H. et al. Improving Sparse Data Movement Performance using Multiple Paths on the Blue Gene/Q Supercomputer, Parallel Computing 51, pp. 3-16 (2016).

Malakar, P. et al. Optimal Execution of Co-analysis for Large-scale Molecular Dynamics Simulations, Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, Article No. 60, Salt Lake City, UT (2016).