Journal Publications

Conference Publications

Jayaraman J. Thiagarajan, Nikhil Jain, Rushil Anirudh, Alfredo Giménez, Rahul Sridhar, Aniruddha Marathe, Tao Wang, Murali Emani, Abhinav Bhatele, and Todd Gamblin. Bootstrapping parameter space exploration for fast tuning. In Proceedings of the International Conference on Supercomputing, ICS '18. June 2018. LLNL-CONF-750296.
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Jayaraman J. Thiagarajan, Rushil Anirudh, Bhavya Kailkhura, Nikhil Jain, Tanzima Islam, Abhinav Bhatele, Jae-Seung Yeom, and Todd Gamblin. PADDLE: Performance analysis using a data-driven learning environment. In Proceedings of the IEEE International Parallel & Distributed Processing Symposium, IPDPS '18. IEEE Computer Society, May 2018. LLNL-CONF-740303.
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Misbah Mubarak, Nikhil Jain, Jens Domke, Noah Wolfe, Caitlin Ross, Jianping Li, Abhinav Bhatele, Christopher D. Carothers, Kwan-Liu Ma, and Robert B. Ross. Toward reliable validation of HPC interconnect simulations. In Proceedings of the Winter Simulation Conference, WSC '17, December 2017. LLNL-CONF-733848.
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Nikhil Jain, Abhinav Bhatele, Louis Howell, David Böhme, Ian Karlin, Edgar Leon, Misbah Mubarak, Noah Wolfe, Todd Gamblin, and Matthew Leininger. Predicting the performance impact of different fat-tree configurations. In Proceedings of the ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, SC '17. IEEE Computer Society, November 2017. LLNL-CONF-736289.
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Alfredo Giménez, Todd Gamblin, Abhinav Bhatele, Chad Wood, Kathleen Shoga, Aniruddha Marathe, Peer-Timo Bremer, Bernd Hamann, and Martin Schulz. ScrubJay: Deriving knowledge from the disarray of hpc performance data. In Proceedings of the ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, SC '17. IEEE Computer Society, November 2017. LLNL-CONF-735962.
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Aniruddha Marathe, Rushil Anirudh, Nikhil Jain, Abhinav Bhatele, Jayaraman Thiagarajan, Bhavya Kailkhura, Jae-Seung Yeom, Barry Rountree, and Todd Gamblin. Performance modeling under resource constraints using deep transfer learning. In Proceedings of the ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, SC '17. IEEE Computer Society, November 2017. LLNL-CONF-736726.
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Misbah Mubarak, Philip Carns, Jonathan Jenkins, Jianping Li, Nikhil Jain, Shane Snyder, Robert B. Ross, Christopher D. Carothers, Abhinav Bhatele, and Kwan-Liu Ma. Quantifying I/O and communication traffic interference on dragonfly networks equipped with burst buffers. In Proceedings of the IEEE Cluster Conference, Cluster '17, September 2017. LLNL-CONF-731482.
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Kevin Brown, Tianqi Xu, Keita Iwabuchi, Kento Sato, Adam Moody, Kathryn Mohror, Nikhil Jain, Abhinav Bhatele, Martin Schulz, Roger Pearce, Maya Gokhale, and Satoshi Matsuoka. Accelerating big data infrastructure and applications (ongoing collaboration). In Proceedings of the first US-Japan Workshop on Collaborative Global Research on Applying Information Technology June 2017. LLNL-CONF-727471.


Nikhil Jain, Abhinav Bhatele, Xiang Ni, Todd Gamblin, and Laxmikant V. Kale. Partitioning low-diameter networks to eliminate inter-job interference. In Proceedings of the IEEE International Parallel & Distributed Processing Symposium, IPDPS '17. IEEE Computer Society, May 2017. LLNL-CONF-706801.
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Abhinav Bhatele, Jae-Seung Yeom, Nikhil Jain, Chris J. Kuhlman, Yarden Livnat, Keith R. Bisset, Laxmikant V. Kale, and Madhav V. Marathe. Massively parallel simulations of spread of infectious diseases over realistic social networks. In Proceedings of the IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGrid '17 SCALE Challenge. IEEE Computer Society, May 2017. LLNL-CONF-690723.
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Noah Wolfe, Misbah Mubarak, Nikhil Jain, Jens Domke, Abhinav Bhatele, Christopher D. Carothers, and Robert B. Ross. Preliminary Performance Analysis of Multi-rail Fat-tree Networks. In Proceedings of the IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGrid '17. IEEE Computer Society, May 2017. LLNL-CONF-713054.
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Jae-Seung Yeom, Jayaraman J. Thiagarajan, Abhinav Bhatele, Greg Bronevetsky, and Tzanio Kolev. Data-dependent performance modeling of linear solvers for sparse matrices. In Proceedings of the 7th International Workshop in Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems, PMBS '16, November 2016. LLNL-CONF-704087.
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Huu Tan Nguyen, Abhinav Bhatele, Peer-Timo Bremer, Todd Gamblin, Martin Schulz, Lai Wei, David Böhme, and Kwan-Liu Ma. VIPACT: A visualization interface for analyzing calling context trees. In Proceedings of the 3rd Workshop on Visual Performance Analysis, VPA '16, November 2016. LLNL-CONF-704659.
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Nikhil Jain, Abhinav Bhatele, Samuel T. White, Todd Gamblin, and Laxmikant V. Kale. Evaluating HPC networks via simulation of parallel workloads. In Proceedings of the ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, SC '16. IEEE Computer Society, November 2016. LLNL-CONF-690662.
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Edgar A. Leon, Ian Karlin, Abhinav Bhatele, Steven H. Langer, Chris Chambreau, Louis H. Howell, Trent D'Hooge, and Matthew L. Leininger. Characterizing parallel scientific applications on commodity clusters: An empirical study of a tapered fat-tree. In Proceedings of the ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, SC '16. IEEE Computer Society, November 2016. LLNL-CONF-681011.
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Tanzima Z. Islam, Jayaraman J. Thiagarajan, Abhinav Bhatele, Martin Schulz and Todd Gamblin. A machine learning framework for performance coverage analysis of proxy applications. In Proceedings of the ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, SC '16. IEEE Computer Society, November 2016. LLNL-CONF-696018.
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Abhinav Bhatele, Nikhil Jain, Yarden Livnat, Valerio Pascucci, and Peer-Timo Bremer. Analyzing network health and congestion in dragonfly-based systems. In Proceedings of the IEEE International Parallel & Distributed Processing Symposium, IPDPS '16. IEEE Computer Society, May 2016. LLNL-CONF-678293.
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Erik Draeger, Xavier Andrade, John Gunnels, Abhinav Bhatele, Andre Schleife, and Alfredo Correa. Massively parallel first-principles simulation of electron dynamics in materials. In Proceedings of the IEEE International Parallel & Distributed Processing Symposium, IPDPS '16. IEEE Computer Society, May 2016. LLNL-CONF-669964.
Best Paper Award
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Aniruddha Marathe, Hormozd Gahvari, Jae-Seung Yeom, and Abhinav Bhatele. libPowerMon: A lightweight profiling framework to profile program context and system-level metrics. In Proceedings of the 12th Workshop on High-Performance, Power-Aware Computing, HPPAC '16. IEEE Computer Society, May 2016. LLNL-CONF-681427.
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Katherine E. Isaacs, Abhinav Bhatele, Jonathan Lifflander, David Böhme, Todd Gamblin, Martin Schulz, Bernd Hamann, and Peer-Timo Bremer. Recovering logical structure from Charm++ event traces. In Proceedings of the ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, SC '15. IEEE Computer Society, November 2015. LLNL-CONF-670046.
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Bilge Acun, Nikhil Jain, Abhinav Bhatele, Misbah Mubarak, Christopher D. Carothers, and Laxmikant V. Kale. Preliminary evaluation of a parallel trace replay tool for hpc network simulations. In Proceedings of the 3rd Workshop on Parallel and Distributed Agent-Based Simulations, PADABS '15, August 2015. LLNL-CONF-667225.


Abhinav Bhatele, Andrew R. Titus, Jayaraman J. Thiagarajan, Nikhil Jain, Todd Gamblin, Peer-Timo Bremer, Martin Schulz, and Laxmikant V. Kale. Identifying the culprits behind network congestion. In Proceedings of the IEEE International Parallel & Distributed Processing Symposium, IPDPS '15. IEEE Computer Society, May 2015. LLNL-CONF-663150.
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Nikhil Jain, Abhinav Bhatele, Jae-Seung Yeom, Mark F. Adams, Francesco Miniati, Chao Mei, and Laxmikant V. Kale. Charm++ & MPI: Combining the best of both worlds. In Proceedings of the IEEE International Parallel & Distributed Processing Symposium, IPDPS '15. IEEE Computer Society, May 2015. LLNL-CONF-663041.
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Abhinav Bhatele, Nikhil Jain, Katherine E. Isaacs, Ronak Buch, Todd Gamblin, Steven H. Langer, and Laxmikant V. Kale. Optimizing the performance of parallel applications on a 5D torus via task mapping. In Proceedings of IEEE International Conference on High Performance Computing, HiPC '14. IEEE Computer Society, December 2014. LLNL-CONF-655465.
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Collin M. McCarthy, Katherine E. Isaacs, Abhinav Bhatele, Peer-Timo Bremer, and Bernd Hamann. Visualizing the five-dimensional torus network of the IBM Blue Gene/Q. In Proceedings of the 1st Workshop on Visual Performance Analysis, VPA '14, November 2014. LLNL-CONF-661000.
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Nikhil Jain, Abhinav Bhatele, Xiang Ni, Nicholas J. Wright, and Laxmikant V. Kale. Maximizing Throughput on a Dragonfly Network. In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC '14, November 2014. LLNL-CONF-653557.
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Ahmed Abdel-Gawad, Mithuna Thottethodi, and Abhinav Bhatele. RAHTM: Routing-Algorithm Aware Hierarchical Task Mapping. In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC '14, November 2014. LLNL-CONF-653568.
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Alfredo Giménez, Todd Gamblin, Barry Rountree, Abhinav Bhatele, Ilir Jusufi, Peer-Timo Bremer, and Bernd Hamann. Dissecting On-Node Memory Access Performance: A Semantic Approach. In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC '14, November 2014. LLNL-CONF-658626.
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Katherine E. Isaacs, Alfredo Giménez, Ilir Jusufi, Todd Gamblin, Abhinav Bhatele, Martin Schulz, Bernd Hamann, and Peer-Timo Bremer. State of the Art of Performance Visualization. In Proceedings of the Eurographics Conference of Visualization, EuroVis '14, June 2014. LLNL-CONF-652873.
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Jae-seung Yeom, Abhinav Bhatele, Keith R. Bisset, Eric Bohm, Abhishek Gupta, Laxmikant V. Kale, Madhav Marathe, Dimitrios S. Nikolopoulos, Martin Schulz, and Lukasz Wesolowski. Overcoming the Scalability Challenges of Epidemic Simulations on Blue Waters. In Proceedings of the IEEE International Parallel & Distributed Processing Symposium, IPDPS '14. IEEE Computer Society, May 2014.
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Abhinav Bhatele, Kathryn Mohror, Steven H. Langer, and Katherine E. Isaacs. There goes the neighborhood: performance degradation due to nearby jobs. In Proceedings of the ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, SC '13. IEEE Computer Society, November 2013. LLNL-CONF-635776.
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Nikhil Jain, Abhinav Bhatele, Michael P. Robson, Todd Gamblin, and Laxmikant V. Kale. Predicting application performance using supervised learning on communication features. In Proceedings of the ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, SC '13. IEEE Computer Society, November 2013. LLNL-CONF-635857.
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Ian Karlin, Abhinav Bhatele, Jeff Keasler, Bradford L. Chamberlain, Jonathan Cohen, Zachary DeVito, Riyaz Haque, Dan Laney, Edward Luke, Felix Wang, David Richards, Martin Schulz, and Charles H. Still. Exploring traditional and emerging parallel programming models using a proxy application. In Proceedings of the IEEE International Parallel & Distributed Processing Symposium, IPDPS '13. IEEE Computer Society, May 2013. LLNL-CONF-586774.
Best Paper Award
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Abhinav Bhatele, Todd Gamblin, Katherine E. Isaacs, Brian T. N. Gunney, Martin Schulz, Peer-Timo Bremer, and Bernd Hamann. Novel views of performance data to analyze large-scale adaptive applications. In Proceedings of the ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, SC '12. IEEE Computer Society, November 2012. LLNL-CONF-554552.
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Abhinav Bhatele, Todd Gamblin, Steven H. Langer, Peer-Timo Bremer, Erik W. Draeger, Bernd Hamann, Katherine E. Isaacs, Aaditya G. Landge, Joshua A. Levine, Valerio Pascucci, Martin Schulz, and Charles H. Still. Mapping applications with collectives over sub-communicators on torus networks. In Proceedings of the ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, SC '12. IEEE Computer Society, November 2012. LLNL-CONF-556491.
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Laercio Pilla, Christiane Ribeiro, Daniel Cordeiro, Chao Mei, Abhinav Bhatele, Philippe Navaux, Francois Broquedis, Jean-Francois Mehaut, and Laxmikant V. Kale. A hierarchical approach for load balancing on parallel multi-core systems. In Proceedings of the International Conference on Parallel Processing, ICPP '12, September 2012. LLNL-CONF-536171.
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Steven Langer, Abhinav Bhatele, Todd Gamblin, Bert Still, Denise Hinkel, Mike Kumbera, Bruce Langdon, and Ed Williams. Simulating laser-plasma interaction in experiments at the national ignition facility on a Cray XE6. In Cray User Group Meeting, CUG '12, April 2012. LLNL-PROC-547711.


Vivek Kale, Abhinav Bhatele, and William D. Gropp. Weighted locality-sensitive scheduling for mitigating noise on multi-core clusters. In International Conference on High-Performance Computing, HiPC '11. IEEE Computer Society, December 2011. LLNL-CONF-492091.
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Ehsan Totoni, Abhinav Bhatele, Eric J. Bohm, Nikhil Jain, Celso L. Mendes, Ryan M. Mokos, Gengbin Zheng, and Laxmikant V. Kale. Simulation-based performance analysis and tuning for a two-level directly connected system. In Proceedings of the 17th IEEE International Conference on Parallel and Distributed Systems, ICPADS '11. IEEE Computer Society, December 2011. LLNL-CONF-500821.
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Abhinav Bhatele, Nikhil Jain, William D. Gropp, and Laxmikant V. Kale. Avoiding hot-spots on two-level direct networks. In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC '11. ACM, November 2011. LLNL-CONF-491454.
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Edgar Solomonik, Abhinav Bhatele, and James Demmel. Improving communication performance in dense linear algebra via topology aware collectives. In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC '11. ACM, November 2011. LLNL-CONF-491442.
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Abhinav Bhatele and Laxmikant V. Kale. Heuristic-based techniques for mapping irregular communication graphs to mesh topologies. In Proceedings of the Workshop on Extreme Scale Computing APplication Enablement - Modeling and Tools, ESCAPE '11, September 2011. LLNL-CONF-491311.


Martin Schulz, Abhinav Bhatele, Peer-Timo Bremer, Todd Gamblin, Katherine Isaacs, Joshua A. Levine, and Valerio Pascucci. Creating a tool set for optimizing topology-aware node mappings. In Proceedings of the 5th Parallel Tools Workshop, September 2011. LLNL-CONF-402937.


Abhinav Bhatele, Pritish Jetley, Hormozd Gahvari, Lukasz Wesolowski, William D. Gropp, and Laxmikant Kale. Architectural constraints to attain 1 Exaflop/s for three scientific application classes. In Proceedings of the IEEE International Parallel & Distributed Processing Symposium, IPDPS '11. IEEE Computer Society, May 2011.
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Abhinav Bhatele, Gagan R. Gupta, Laxmikant V. Kale, and I-Hsin Chung. Automated mapping of regular communication graphs on mesh interconnects. In Proceedings of IEEE International Conference on High Performance Computing, HiPC '10, December 2010.
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Eric J. Bohm, Sayantan Chakravorty, Pritish Jetley, Abhinav Bhatele, and Laxmikant V. Kale. Ckdirect: Unsynchronized one-sided communication in a message-driven paradigm. In Proceedings of International Workshop on Parallel Programming Models and Systems Software for High-End Computing, P2S2 '09. IEEE Computer Society, September 2009.
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Abhinav Bhatele, Eric Bohm, and Laxmikant V. Kale. A case study of communication optimizations on 3D mesh interconnects. In Proceedings of the 15th International Euro-Par Conference on Parallel Processing, Euro-Par '09, pages 1015-1028. Springer-Verlag, August 2009.
Distinguished Paper Award
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Abhinav Bhatele, Laxmikant V. Kale, Nicholas Chen, and Ralph E. Johnson. Pattern language for topology aware mapping. In Proceedings of the Workshop on Parallel Programming Patterns, ParaPLOP '09, June 2009.


Abhinav Bhatele, Laxmikant V. Kale, and Sameer Kumar. Dynamic topology aware load balancing algorithms for molecular dynamics applications. In Proceedings of the 23rd International Conference on Supercomputing, ICS '09. ACM, June 2009.
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Abhinav Bhatele, Sameer Kumar, Chao Mei, James C. Phillips, Gengbin Zheng, and Laxmikant V. Kale. Overcoming scaling challenges in biomolecular simulations across multiple platforms. In Proceedings of the IEEE International Symposium on Parallel and Distributed Processing, IPDPS '08. IEEE Computer Society, April 2008.
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Abhinav Bhatele and Guojing Cong. A selective profiling tool: Towards automatic performance tuning. In Proceedings of the International Workshop on System Management Techniques, Processes and Services, SMTPS '07. IEEE Computer Society, April 2007.
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Books and Book Chapters

Martin Schulz, Jim Belak, Abhinav Bhatele, Peer-Timo Bremer, Greg Bronevetsky, Marc Casas, Todd Gamblin, Katherine E. Isaacs, Ignacio Laguna, Joshua Levine, Valerio Pascucci, David Richards, and Barry Rountree. Performance analysis techniques for the exascale co-design process. In M. Bader, A. Bode, H.-J. Bungartz, M. Gerndt, G.R. Joubert, and F. Peters, editors, Parallel Computing: Accelerating Computational Science and Engineering (CSE), pages 19-32. IOS Press, March 2014.
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Glenn J. Martyna, Eric J. Bohm, Ramprasad Venkataraman, Anshu Arya, Laxmikant V. Kale, and Abhinav Bhatele. OpenAtom: Ab-initio molecular dynamics for petascale platforms. In Laxmikant V. Kale and Abhinav Bhatele, editors, Parallel Science and Engineering Applications: The Charm++ Approach, pages 79-104. CRC Press, October 2013.
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James C. Phillips, Klaus Schulten, Abhinav Bhatele, Chao Mei, Yanhua Sun, and Laxmikant V. Kale. Scalable molecular dynamics with NAMD. In Laxmikant V. Kale and Abhinav Bhatele, editors, Parallel Science and Engineering Applications: The Charm++ Approach, pages 61-77. CRC Press, October 2013.
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Abhinav Bhatele. Topology aware task mapping. In David Padua, editor, Encyclopedia of Parallel Computing, pages 2057-2062. Springer US, 2011.
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Laxmikant V. Kale, Abhinav Bhatele, Eric J. Bohm, and James C. Phillips. NAMD (NAnoscale Molecular Dynamics). In David Padua, editor, Encyclopedia of Parallel Computing, pages 1249-1254. Springer US, 2011.
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Klaus Schulten, James C. Phillips, Laxmikant V. Kale, and Abhinav Bhatele. Biomolecular modeling in the era of petascale computing. In David Bader, editor, Petascale Computing: Algorithms and Applications, pages 165-181. Chapman & Hall, December 2007.
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Theses and Technical Reports

Janine Bennett, Robert Clay, Gavin Baker, Marc Gamell, David Hollman, Samuel Knight, Hemanth Kolla, Gregory Sjaardema, Nicole Slattengren, Keita Teranishi, Jeremiah Wilke, Matt Bettencourt, Steve Bova, Ken Franko, Paul Lin, Ryan Grant, Si Hammond, Stephen Olivier, Laxmikant Kale, Nikhil Jain, Eric Mikida, Alex Aiken, Mike Bauer, Wonchan Lee, Elliott Slaughter, Sean Treichler, Martin Berzins, Todd Harman, Alan Humphrey, John Schmidt, Dan Sunderland, Pat McCormick, Samuel Gutierrez, Martin Schulz, Abhinav Bhatele, David Boehme, Peer-Timo Bremer, and Todd Gamblin. ASC ATDM level 2 milestone #5325: Asynchronous many-task runtime system analysis and assessment for next generation platforms. Technical report, Sandia National Laboratories, September 2015. SAND2015-8312.


Abhinav Bhatele. Task mapping on complex computer network topologies for improved performance. Technical report, LDRD Final Report, Lawrence Livermore National Laboratory, October 2015. LLNL-TR-678732.


Louis Howell, Brian Gunney, and Abhinav Bhatele. Characterization of proxy application performance on advanced architectures: UMT2013, MCB, AMG2013. Technical report, Lawrence Livermore National Laboratory, October 2015. LLNL-TR-677974.
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Harshitha Menon, Abhinav Bhatele, Sebastien Fourestier, Laxmikant Kale, and Francois Pellegrini. Applying graph partitioning methods in measurement-based dynamic load balancing. Technical report, Dept. of Computer Science, University of Illinois, May 2015.
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Laxmikant V. Kale, Anshu Arya, Abhinav Bhatele, Abhishek Gupta, Nikhil Jain, Pritish Jetley, Jonathan Lifflander, Phil Miller, Yanhua Sun, Ramprasad Venkataraman, Lukasz Wesolowski, and Gengbin Zheng. Charm++ for productivity and performance: A submission to the 2011 HPC Class II Challenge.. Technical report, Dept. of Computer Science, University of Illinois, November 2011.
HPC Challenge Class II Award, SC '11
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Abhinav Bhatele. Automating Topology Aware Mapping for Supercomputers. PhD thesis, Dept. of Computer Science, University of Illinois, August 2010.
David J. Kuck Outstanding Ph.D. Thesis Award
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Abhinav Bhatele. Application specific topology aware mapping and load balancing for three dimensional torus topologies. Master's thesis, Dept. of Computer Science, University of Illinois, December 2007.
David J. Kuck Outstanding M.S. Thesis Award
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Technical Posters

Significant Presentations

Abhinav Bhatele. Analyzing HPC interconnects using network simulators. Network Dynamics and Simulation Science Laboratory (NDSSL), Virginia Tech, Blacksburg, VA, November 2015. LLNL-PRES-679783.

Abhinav Bhatele. Network simulations to predict congestion and performance. JOWOG-34 Annual Meeting, Livermore, CA, July 2015. LLNL-PRES-675498.

Abhinav Bhatele. Parallel execution models, performance prediction, and optimization. Indian Institute of Technology, Kanpur, Kanpur, INDIA, May 2015. LLNL-PRES-665882.

Abhinav Bhatele, Andrew R. Titus, Jayaraman J. Thiagarajan, Nikhil Jain, Todd Gamblin, Peer-Timo Bremer, Martin Schulz, and Laxmikant V. Kale. Identifying the culprits behind network congestion. 13th Annual Workshop on Charm++ and its Applications, Charm++ Workshop '15, Urbana, IL, May 2015. LLNL-PRES-670743.
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Abhinav Bhatele, Nikhil Jain, Xiang Ni, and Laxmikant V. Kale. Maximizing throughput on a dragonfly network. SIAM Conference on Computational Science & Engineering, SIAM CSE '15, Salt Lake City, UT, March 2015. LLNL-PRES-668919.
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Abhinav Bhatele. Introduction to Git (Part I). Software Improvement Networking Group (SWING) Git Tutorial Series, Livermore, CA, January 2015. LLNL-PRES-645972.

Abhinav Bhatele. Parallel execution models, performance prediction, and optimization. Indian Institute of Technology, Delhi, Delhi, INDIA, December 2014. LLNL-PRES-665882.

Abhinav Bhatele. Tools for visualizing communication, network traffic, and job placement. 8th Annual Petascale Tools Workshop, Madison, WI, August 2014. LLNL-PRES-659275.
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Abhinav Bhatele. Task mapping, job placements, and routing strategies. 12th Annual Workshop on Charm++ and its Applications, Charm++ Workshop '14, Urbana, IL, April 2014. LLNL-PRES-654602.
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Abhinav Bhatele and Todd Gamblin. Placing communicating tasks apart to maximize bandwidth. SIAM Conference on Computational Science & Engineering, SIAM CSE'13, Boston, MA, March 2013. LLNL-PRES-621732.
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Abhinav Bhatele. Exploring Charm++ for LULESH. SIAM Conference on Computational Science & Engineering, SIAM CSE'13, Boston, MA, February 2013. LLNL-PRES-621033.
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Abhinav Bhatele. On maximizing bandwidth utilization on torus interconnects. IBM Research, Yorktown Heights, NY, October 2012. LLNL-PRES-592213.

Abhinav Bhatele and Todd Gamblin. OS/Runtime challenges for dynamic topology aware mapping. U.S. Department of Energy Exascale Operating Systems and Runtime Research Workshop, Washington, DC, October 2012. LLNL-PRES-587572.
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Abhinav Bhatele, Peer-Timo Bremer, Todd Gamblin, and Martin Schulz. PAVE: Intuitive visualizations for analyzing exascale workloads. Exascale Research Conference, Portland, OR, April 2012. LLNL-PRES-540811.

Abhinav Bhatele and Laxmikant V. Kale. Topology aware resource allocation and mapping challenges at exascale. SIAM Conference on Parallel Processing for Scientific Computing, SIAM PP'12, Savannah, GA, February 2012. LLNL-PRES-529376.
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Abhinav Bhatele. A mapping framework for torus networks. Par Lab, Computer Science Division, University of California, Berkeley, CA, October 2011. LLNL-PRES-505691.

Abhinav Bhatele. Automating topology aware mapping on large supercomputers. Computing Sciences Seminar, Lawrence Berkeley National Laboratory, Berkeley, CA, January 2011.

Abhinav Bhatele. Automating topology aware mapping on large supercomputers. Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, IL, January 2011.
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Abhinav Bhatele. Mapping your application on interconnect topologies: Effort versus benefits. International Conference for High Performance Computing, Networking, Storage and Analysis, SC '10, New Orleans, LA, November 2010.
George Michael HPC Fellow Presentation
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Abhinav Bhatele and Laxmikant V. Kale. Mapping parallel applications on the machine topology: Lessons learned. TeraGrid '10, Pittsburgh, PA, August 2010.
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Abhinav Bhatele, Eric Lee, Ly Le, Leonardo Trabuco, Eduard Schreiner, Jen Hsin, James C. Phillips, Laxmikant V. Kale, and Klaus Schulten. Biomolecular simulations using NAMD on TeraGrid machines. TeraGrid '10, Pittsburgh, PA, August 2010.
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Abhinav Bhatele. Automating topology aware mapping on large supercomputers. CSE Seminar, College of Computing, Georgia Tech, Atlanta, GA, March 2010.
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Abhinav Bhatele. Automating topology aware task mapping for large supercomputers. International Conference for High Performance Computing, Networking, Storage and Analysis, SC '09, Portland, OR, November 2009.
Doctoral Showcase

Abhinav Bhatele. Load balancing and topology aware mapping for petascale machines. Scaling to Petascale Summer School, NCSA, Urbana, IL, August 2009.
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Abhinav Bhatele. The Charm++ programming model and NAMD. Barcelona Supercomputing Center, Barcelona, Spain, February 2009.

Abhinav Bhatele and Laxmikant V. Kale. IS TOPOLOGY IMPORTANT AGAIN? - Effects of contention on message latencies in large supercomputers. International Conference for High Performance Computing, Networking, Storage and Analysis, SC '08, Austin, TX, November 2008.
ACM Student Research Competition
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Abhinav Bhatele. Topology aware mapping for performance optimization of science applications. Institute for Advanced Computing Applications and Technology (IACAT) Seminar, Urbana, IL, October 2008.
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Abhinav Bhatele, Laxmikant V. Kale, and Sameer Kumar. Dynamic topology aware load balancing algorithms for MD applications. UK e-Science All Hands Meeting, Edinburgh, UK, September 2008.
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