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Franck Cappello

SC16 SciNet Cosmology Experiment

(babr)
Feb 2016 - Dec 2016

2018

Rajkumar Kettimuthu, Zhengchun Liu, David Wheeler, Ian Foster, Katrin Heitmann, and Franck Cappello (2018): Transferring a Petabyte in a Day, Future Generation Computer Systems-The International Journal of eScience, Elsevier BV, Vol 88, pp191-198

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

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

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

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.
Ana Gainaru, Franck Cappello, and William Kramer (2012): Taming of the Shrew: Modeling the Normal and Faulty Behaviour of Large-Scale HPC Systems, Institute of Electrical & Electronics Engineers, 2012 IEEE 26th International Parallel and Distributed Processing Symposium, pp1168-1179, Shanghai, China

2011

Ana Gainaru, Franck Cappello, Joshi Fullop, Stefan Trausan-Matu, and William Kramer (2011): Adaptive Event Prediction Strategy with Dynamic Time Window for Large-Scale HPC Systems, ACM Press, Managing Large-scale Systems via the Analysis of System Logs and the Application of Machine Learning Techniques (SLAML '11), pp4:1-4:8, Cascais, Portugal
Eric Heien, Derrick Kondo, Ana Gainaru, Dan LaPine, Bill Kramer, and Franck Cappello (2011): Modeling and Tolerating Heterogeneous Failures in Large Parallel Systems, ACM Press, SC '11: Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis, pp45:1-45:11, Seattle, Washington, U.S.A.
Ana Gainaru, Franck Cappello, Stefan Trausan-Matu, and Bill Kramer (2011): Event Log Mining Tool for Large Scale HPC Systems, Springer Berlin Heidelberg, Lecture Notes in Computer Science: Euro-Par 2011 Parallel Processing (17th International Conference), pp52-64, Bordeaux, France
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

US researchers link supercomputers to power cosmic simulation


Aug 29, 2017

Researchers at the US Department of Energy’s (DOE) Argonne National Laboratory have increased their capacity for cosmological simulation by opening up a link to another research centre - the National Center for Supercomputing Applications (NCSA) at the University of Illinois at Urbana-Champaign (UI). This new approach links supercomputers at the Argonne Leadership Computing Facility (ALCF) and at the National Center for Supercomputing Applications (NCSA) at the University of Illinois at Urbana-Champaign (UI) to enable computationally demanding and highly intricate simulations of how the cosmos evolved after the Big Bang.


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ALCF, NCSA Supercomputers Generate Movies of the Universe


Aug 28, 2017

If you have ever had to wait those agonizing minutes in front of a computer for a movie or large file to load, you’ll likely sympathize with the plight of cosmologists at the U.S. Department of Energy’s (DOE) Argonne National Laboratory. But instead of watching TV dramas, they are trying to transfer, as fast and as accurately as possible, the huge amounts of data that make up movies of the universe – computationally demanding and highly intricate simulations of how our cosmos evolved after the Big Bang. In a new approach to enable scientific breakthroughs, researchers linked together supercomputers at the Argonne Leadership Computing Facility (ALCF) and at the National Center for Supercomputing Applications (NCSA) at the University of Illinois at Urbana-Champaign (UI). This link enabled scientists to transfer massive amounts of data and to run two different types of demanding computations in a coordinated fashion – referred to technically as a workflow.


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