Marc Snir

CS 420 - Fall 2017

(baok)
Nov 2017 - Jan 2018

CS420

(bahl)
Nov 2016 - Dec 2016

2017

Jon Calhoun, Marc Snir, Luke N. Olson, and William D. Gropp (2017): Towards a More Complete Understanding of SDC Propagation, ACM Press, Proceedings of the 26th International Symposium on High-Performance Parallel and Distributed Computing (HPDC '17), pp131, Washington, D.C., U.S.A.

2016

Matthieu Dorier, Gabriel Antoniu, Franck Cappello, Marc Snir, Robert Sisneros, Orcun Yildiz, Shadi Ibrahim, Tom Peterka, and Leigh Orf (2016): Damaris: Addressing Performance Variability in Data Management for Post-Petascale Simulations, ACM Transactions on Parallel Computing, Association for Computing Machinery, Vol 3, Num 3, pp15:1-15:43

2015

Jon Calhoun, Marc Snir, Luke Olson, and Maria Garzaran (2015): Understanding the Propagation of Error Due to a Silent Data Corruption in a Sparse Matrix Vector Multiply, Institute of Electrical & Electronics Engineers, 2015 IEEE International Conference on Cluster Computing, pp541-542, Chicago, Illinois, U.S.A.
J. Calhoun, L. Olson, M. Snir, and W. D. Gropp (2015): Towards a More Fault Resilient Multigrid Solver, Society for Computer Simulation International, HPC '15: Proceedings of the Symposium on High Performance Computing, pp1-8, Alexandria, Virginia, U.S.A.

2014

Franck Cappello, Geist Al, William Gropp, Sanjay Kale, Bill Kramer, and Marc Snir (2014): Toward Exascale Resilience: 2014 Update, Supercomputing Frontiers and Innovations, FSAEIHE South Ural State University (National Research University), Vol 1, Num 1, pp5-28
Jon Calhoun, Luke Olson, and Marc Snir (2014): FlipIt: An LLVM Based Fault Injector for HPC, Springer Science + Business Media, Lecture Notes in Computer Science: Euro-Par 2014, Parallel Processing Workshops, pp547-558, Porto, Portugal

2013

Ana Gainaru, Franck Cappello, Marc Snir, and William Kramer (2013): Failure Prediction for HPC Systems and Applications, International Journal of High Performance Computing Applications, SAGE Publications, Vol 27, Num 3, pp273-282

2012

Matthieu Dorier, Gabriel Antoniu, Franck Cappello, Marc Snir, and Leigh Orf (2012): Damaris: How to Efficiently Leverage Multicore Parallelism to Achieve Scalable, Jitter-free I/O, Institute of Electrical & Electronics Engineers, 2012 IEEE International Conference on Cluster Computing, pp155-163, Beijing, China
Ana Gainaru, Franck Cappello, Marc Snir, and William Kramer (2012): Fault Prediction Under the Microscope: A Closer Look into HPC Systems, IEEE Computer Society Press, SC '12: Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis, pp77:1-77:11, Salt Lake City, Utah, U.S.A.

2011

Jack Dongarra, Pete Beckman, Terry Moore, Patrick Aerts, Giovanni Aloisio, Jean-Claude Andre, David Barkai, Jean-Yves Berthou, Taisuke Boku, Bertrand Braunschweig, Franck Cappello, Barbara Chapman, Xuebin Chi, Alok Choudhary, Sudip Dosanjh, Thom Dunning, Sandro Fiore, Al Geist, Bill Gropp, Robert Harrison, Mark Hereld, Michael Heroux, Adolfy Hoisie, Koh Hotta, Zhong Jin, Yutaka Ishikawa, Fred Johnson, Sanjay Kale, Richard Kenway, David Keyes, Bill Kramer, Jesus Labarta, Alain Lichnewsky, Thomas Lippert, Bob Lucas, Barney Maccabe, Satoshi Matsuoka, Paul Messina, Peter Michielse, Bernd Mohr, Matthias S. Mueller, Wolfgang E. Nagel, Hiroshi Nakashima, Michael E Papka, Dan Reed, Mitsuhisa Sato, Ed Seidel, John Shalf, David Skinner, Marc Snir, Thomas Sterling, Rick Stevens, Fred Streitz, Bob Sugar, Shinji Sumimoto, William Tang, John Taylor, Rajeev Thakur, Anne Trefethen, Mateo Valero, Aad van der Steen, Jeffrey Vetter, Peg Williams, Robert Wisniewski, and Kathy Yelick (2011): The International Exascale Software Project Roadmap, International Journal of High Performance Computing Applications, SAGE Publications, Vol 25, Num 1, pp3-60

2009

Franck Cappello, Al Geist, Bill Gropp, Laxmikant Kale, Bill Kramer, and Marc Snir (2009): Toward Exascale Resilience, International Journal of High Performance Computing Applications, SAGE Publications, Vol 23, Num 4, pp374-388

2019

Marc Snir, Franck Cappello (2019): Detection of Silent Data Corruptions using Machine Learning, 2019 Blue Waters Annual Report, pp228-229

22 Illinois projects receive time on Blue Waters


Jun 11, 2013

The University of Illinois at Urbana-Champaign has awarded access to the Blue Waters supercomputer—which is capable of performing quadrillions of calculations every second and of working with quadrillions of bytes of data—to 22 campus research teams from a wide range of disciplines. The computing and data capabilities of Blue Waters, which is operated by the National Center for Supercomputing Applications (NCSA), will assist researchers in their work on understanding DNA, developing biofuels, simulating climate, and more.


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