Page Comparison

Conference Papers

• Saurabh Gupta, Tirthak Patel, Devesh Tiwari, Tirthak Patel, and Christian Engelmann.  Reliability of HPC systems: LargeFailures in Large Scale Systems: Long-term Measurement, Analysis, and Implications. In Proceedings of the 30th IEEE/ACM International Conference on High Performance Computing, Networking, Storage and Analysis (SC) 2017, Denver, CO, USA, November 12-17, 2017. IEEE Computer Society, Los Alamitos, CA, USA. Acceptance rate 18.7% (61/327). To appear.
• Giorgis Georgakoudis, Ignacio Laguna, Dimitrios S. Nikolopoulos, Martin Schulz. REFINE: Realistic Fault Injection via Compiler-based Instrumentation for Accuracy, Portability and Speed. In Proceedings of the 30th IEEE/ACM International Conference on High Performance Computing, Networking, Storage and Analysis (SC) 2017, Denver, CO, USA, November 12-17, 2017. IEEE Computer Society, Los Alamitos, CA, USA. Acceptance rate 18.7% (61/327). To appear.
  
• Bin Nie, Devesh Tiwari, Ji Xue, Saurabh Gupta, Christian Engelmann, and Evgenia Smirni, and Devesh Tiwari.  Characterizing Temperature, Power, and Soft-Error Behaviors in Data Center Systems: Insights, Challenges, and Opportunities. In Proceedings of the 25th IEEE International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS) 2017, Banff, AB, Canada, September 20-22, 2017. IEEE Computer Society, Los Alamitos, CA, USA. To appear.
• Sheng Di, Rinku Gupta, Marc Snir, Eric Pershey, and Franck Cappello. LOGAIDER: A tool for mining potential correlations of HPC log events. In Proceedings of the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid) 2017, pages 442-451, Madrid, Spain, May 14-17, 2017. IEEE Computer Society, Los Alamitos, CA, USA. ISBN 978-1-5090-6610-0. (Paper)
• Kun Tang, Devesh Tiwari, Saurabh Gupta, Ping Huang, QiQi Lu, Christian Engelmann, and Xubin He. Power-Capping Aware Checkpointing: On the Interplay Among Power-Capping, Temperature, Reliability, Performance, and Energy. In Proceedings of the 46th IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) 2016, pages 311-322, Toulouse, France, June 28 - July 1, 2016. IEEE Computer Society, Los Alamitos, CA, USA. ISSN 2158-3927. Acceptance rate 22.4% (58/259). (Paper)
• Leonardo Bautista-Gomez, Ana Gainaru, Swann Perarnau, Devesh Tiwari, Saurabh Gupta, Franck Cappello, Christian Engelmann, and Marc Snir. Reducing Waste in Extreme Scale Systems Through Introspective Analysis. In Proceedings of the 30th IEEE International Parallel and Distributed Processing Symposium (IPDPS) 2016, pages 212-221, Chicago, IL, USA, May 23-27, 2016. IEEE Computer Society, Los Alamitos, CA, USA. ISSN 1530-2075. Acceptance rate 23.0% (114/496). (Paper | Presentation)

Workshop Papers

• Byung Hoon (Hoony) Park, Saurabh Hukerikar, Christian Engelmann, and Ryan Adamson. Big Data Meets HPC Log Analytics: Scalable Approach to Understanding Systems at Extreme Scale. In Proceedings of the 18th IEEE International Conference on Cluster Computing (Cluster) 2017: 4th Workshop on Monitoring and Analysis for High Performance Systems Plus Applications (HPCMASPA) 2017, Honolulu, HI, USA, September 5, 2017. IEEE Computer Society, Los Alamitos, CA, USA. (Paper | Presentation)
• Ayush Patwari, Ignacio Laguna, Martin Schulz, Saurabh Bagchi. Understanding the Spatial Characteristics of DRAM Memory Errors in HPC Clusters. In Proceedings of the 26th ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC) 2017: 7th Workshop on Fault Tolerance for HPC at eXtreme Scale (FTXS) 2017, pages 17-22, Washington, D.C., June 26-30, 2017. ACM Press, New York, NY, USA. ISBN 978-1-4503-5001-3. (Paper)

White Papers

• Devesh Tiwari, Saurabh Gupta, and Christian Engelmann. Lightweight, Actionable Analytical Tools Based on Statistical Learning for Efficient System Operations. White paper submitted to the U.S. Department of Energy's Workshop on Modeling & Simulation of Systems & Applications (ModSim) 2016, August 10-12, 2016. (Paper)

Talks

• Christian Engelmann. A Catalog of Faults, Errors, and Failures in Extreme-Scale Systems. Invited talk at the SIAM Annual Meeting (AM) 2017, Pittsburgh, PA, USA, July, 2017. (Presentation)
  
• Christian Engelmann. Characterizing Faults, Errors and Failures in Extreme-Scale Computing Systems. Invited talk at the International Supercomputing Conference (ISC) 2017, Frankfurt am Main, Germany, June 16-22, 2017. (Presentation)
• Christian Engelmann. A Catalog of Faults, Errors, and Failures in Extreme-Scale Systems. Invited talk at the 12th Scheduling for Large Scale Systems Workshop (SLSSW) 2017, Knoxville, TN, USA, May 24-26, 2017. (Presentation)
• Christian Engelmann. The Missing High-Performance Computing Fault Model. Invited talk at the 17th SIAM Conference on Parallel Processing for Scientific Computing (PP) 2016, Paris, France, April 12-15, 2016. (Presentation)
• Martin Schulz. Characterizing Faults on Production Systems. Invited talk at the 17th SIAM Conference on Parallel Processing for Scientific Computing (PP) 2016, Paris, France, April 12-15, 2016.
• Christian Engelmann. Resilience Challenges and Solutions for Extreme-Scale Supercomputing. Invited talk at the United States Naval Academy, Annapolis, MD, USA, February 18, 2016. (Presentation)
• Ignacio Laguna. Compiler-level Techniques to Improve the Reliability of High-performance Computing Applications. Invited talk at the School of Engineering, University of California, Merced, USA, December 4, 2015.
• Christian Engelmann. Toward A Fault Model And Resilience Design Patterns For Extreme Scale Systems. Keynote talk at the  8th Workshop on Resiliency in High Performance Computing (Resilience) in Clusters, Clouds, and Grids, held in conjunction with the 21st European Conference on Parallel and Distributed Computing (Euro-Par) 2015, Vienna, Austria, August 24-28, 2015. (Presentation)