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Papers:

  • E. Berrocal, L. Bautista-Gomez, S. Di, Z. Lan, and F. Cappello, "Toward General Software Level Silent Data Corruption Detection for Parallel Applications", IEEE Transactions on Parallel and Distributed Systems (issue 99), doi:10.1109/TPDS.2017.2735971, 2017.
  • J. Wu, X. Xiong, E. Berrocal, J. Wang, and Z. Lan, "Topology mapping of irregular parallel applications on torus-connected supercomputers", The Journal of Supercomputing (2016), doi:10.1007/s11227-016-1876-7, 2016.
  • E. Berrocal, L. Bautista-Gomez, S. Di, Z. Lan, and F. Cappello, "Exploring Partial Replication to Improve Lightweight Silent Data Corruption Detection for HPC Applications", Proc. of EuroPar'16, 2016.
  • Y. Wang, W. Shi, and E. Berrocal, "On Performance Resilient Scheduling for Scientific Workflows in HPC Systems with Constrained Storage Resources", 6th Workshop on Scientific Cloud Computing (part of Proc. of HPDC'15), 2015.
  • E. Berrocal, L. Bautista-Gomez, S. Di, Z. Lan, and F. Cappello, "Lightweight Silent Data Corruption Detection Based on Runtime Data Analysis for HPC Applications," Proc. of HPDC'15 (short paper), 2015.
  • S. Di, E. Berrocal, and F. Cappello, "An Efficient Silent Data Corruption Detection Method with Error-Feedback Control and Even Sampling for HPC Applications," Proc. of CCGRID'15, 2015.
  • E. Berrocal, L. Bautista-Gomez, S. Di, Z. Lan, and F. Cappello, "Lightweight Silent Data Corruption Detection Based on Runtime Data Analysis for HPC Applications," Report, Argonne National Laboratory, 2014.
  • E. Berrocal, L. Yu, S. Wallace, M. E. Papka, and Z. Lan, "Exploring Void Search for Fault Detection on Extreme Scale Systems," (Best Paper Award), Proc. of IEEE Cluster'14, 2014.
  • D. Sulakhe, S. Balasubramanian, B. Xie, B. Feng, A. Taylor, S. Wang, E. Berrocal, U. Dave, J. Xu, D. Bornigen, T. Conrad Gilliam, and N. Maltsev, "Lynx: a database and knowledge extraction engine for integrative medicine", Nucleic Acids Research, December 2013.

Posters:

  • E. Berrocal, and Z. Lan, "Improving Fault Tolerance for Extreme Scale Systems," Doctoral Showcase at SC'16, 2016.
  • E. Berrocal, L. Yu, S. Wallace, X. Yang, Z. Zhou, X. Wang, and Z. Lan, "SPeaR: Toward Smart HPC Through Active Learning and Intelligent Scheduling," Proc. of HPDC'15, 2015.
  • S. Di, E. Berrocal, L. Bautista-Gomez, K. Heisey, R. Gupta, and F. Cappello, "Toward Effective Detection of Silent Data Corruptions for HPC Applications," Proc. of SC'14, 2014.
  • J. Wu, Y. Yu, E. Berrocal, and Z. Lan, "Toward Petascale Cosmology Simulations", 2nd Annual Greater Chicago Area Systems Research Workshop (GCASR), May 2013.

Talks and Seminars:

  • E. Berrocal, and Z. Lan, "Improving Fault Tolerance for Extreme Scale Systems," Doctoral Showcase at SC'16, Nov 2016.
  • E. Berrocal, "Research Testbed for a 5G Distributed Native Analytics Framework", Bell Labs (Nokia), Aug 2016.
  • E. Berrocal, "Studying the Impact of Partial Duplication on Silent Data Corruption Detection for HPC Applications", Argonne National Laboratory, Aug 2015.
  • E. Berrocal, "Detecting Silent Data Corruption through Time Series Prediction in HPC Applications", Argonne National Laboratory, Aug 2014.

Book Chapters:

  • D. Sulakhe, S. Balasubramanian, B. Xie, E. Berrocal, B. Feng, A. Taylor, B. Chitturi, U. Dave, G. Agam, J. Xu, D. Bornigen, I. Dubchak, T. Conrad Gilliam, and N. Maltsev, "High-throughput translational medicine: challenges and solutions", In book: Systems Analysis of Human Multigene Disorders, Pages 39-67 (Chapter 3).

Eduardo Berrocal © 2012-2018

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