About Me
Dr. Christian Engelmann is an Senior R&D Staff Scientist in the Computer Science Research Group at Oak Ridge National Laboratory, which is the US Department of Energy’s (DOE) largest multiprogram science and technology laboratory with an annual budget of $1.4 billion. He has 18+ years experience in software research and development for extreme-scale high-performance computing (HPC) systems with a strong funding and publication record. In collaboration with other laboratories and universities, Dr. Engelmann’s research solves computer science challenges in HPC software, such as scalability, dependability, energy efficiency, and portability.
His primary expertise is in HPC resilience, i.e., providing efficiency and correctness in the presence of faults, errors, and failures through avoidance, masking, and recovery. Dr. Engelmann is a leading expert in HPC resilience and was a member of the DOE Technical Council on HPC Resilience. He received the 2015 DOE Early Career Award for research in resilience design patterns for extreme scale HPC. His secondary expertise is in lightweight simulation of future-generation extreme-scale supercomputers with millions of processors, studying the impact of hardware and software properties on the key HPC system design factors: performance, resilience, and power consumption.
Dr. Engelmann earned a M.Sc. in Computer Systems Engineering from the University of Applied Sciences Berlin, Germany, in 2001, a M.Sc. in Computer Science from the University of Reading, UK, also in 2001 as part of a double diploma, and a Ph.D. in Computer Science from the University of Reading in 2008. He is a Senior Member of the Association for Computing Machinery (ACM) and a Member of the Institute of Electrical and Electronics Engineers (IEEE), the Society for Industrial and Applied Mathematics (SIAM), and the Advanced Computing Systems Association (USENIX).
Download NSF-style 2-page bio. Download full list of publications. Resume available upon request.
Contact Information
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e-Mail: engelmannc@computer.org|engelmannc@ornl.gov Mail: P.O. Box 2008, Oak Ridge, TN 37831-6164, USA |
Phone: +1 (865) 574-3132 Fax: +1 (865) 576-5491 |
 
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 orcid.org/0000-0003-4365-6416
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| Scopus ID: 18037364000 | ||||
In the News
2018-11-19: HPCwire: What’s New in HPC Research: Thrill for Big Data, Scaling Resilience and More
2018-08-05: inside HPC: Characterizing Faults, Errors and Failures in Extreme-Scale Computing Systems
2015-07-15: ASCR Discovery – Mounting a charge. Early-career awardees attack exascale computing on two fronts: power and resilience.
2015-07-15: HPC Wire – Tackling Power and Resilience at Exascale.
Professional Accomplishments
| 13 Research grants ($30.5M, 5 as lead-PI) | 11 Peer-reviewed journal articles | 52 Invited talks and seminars |
| 8 Co-advised Master theses | 52 Peer-reviewed conference papers | 146 Committees at 44 conference series |
| 4 Mentored summer faculty | 41 Peer-reviewed workshop papers | 50 Journal article and book proposal reviews |
| 10 Direct reports over the past 10 years | 12 Peer-reviewed conference posters | 11 Conference booth exhibitions |
| Erdős number of 3 | 3,000+ Total publication citations | H-index of 28 / i10-index of 58 |
| Awards: 2015 US Department of Energy Early Career Research Award | ||
Ongoing Research Activities
2018-…: The rOpenMP project performs research to enable fine-grain resilience for supercomputers with accelerators that is more efficient than traditional application-level checkpoint/restart. The approach centers on a novel concept for quality of service and corresponding extensions for the for OpenMP parallel programming model … more.
2015-…: The Resilience Design Patterns project will increase the ability of scientific applications to reach accurate solutions in a timely and efficient manner. Using a novel design pattern concept, it identifies and evaluates repeatedly occurring resilience problems and coordinates solutions throughout high-performance computing hardware and software … more.
2015-…: The Characterizing Faults, Errors, and Failures in Extreme-Scale Systems (Catalog) project identifies, categorizes and models the fault, error and failure properties of US Department of Energy high-performance computing (HPC) systems. It develops a fault taxonomy, catalog and models that capture the observed and inferred conditions in current systems and extrapolate this knowledge to exascale HPC systems … more
Recent Events
2018-11-16: Presentation by Yawei Hui of the co-authored research paper, Comprehensive Informative Metric for Analyzing HPC System Status using the LogSCAN Platform, at the 8th Workshop on Fault Tolerance for HPC at eXtreme Scale (FTXS) 2018, held in conjunction with the 31st International Conference on High Performance Computing, Networking, Storage and Analysis (SC) Workshops 2018, Dallas, TX, USA.
2018-11-16: Presentation by Rizwan Ashraf of the co-authored research paper, Analyzing the Impact of System Reliability Events on Applications in the Titan Supercomputer, at the 8th Workshop on Fault Tolerance for HPC at eXtreme Scale (FTXS) 2018, held in conjunction with the 31st International Conference on High Performance Computing, Networking, Storage and Analysis (SC) Workshops 2018, Dallas, TX, USA.
2018-11-13: With 27,648 NVIDIA V100 Volta GPUs and 9,216 22-core 4-way SMT IBM Power 9 processors in 4,608 compute nodes, ORNL’s Summit IBM supercomputer is 1st in the Top 500 List of fastest supercomputers and 3rd in the Top 500 List of most energy-efficient supercomputers with a LINPACK performance of 143.5 PFlops, a power consumption of 9.8 MW and an energy efficiency of 14.7 GFlops/Watt.
2018-11-13: With 18,688 NVIDIA K20X Kepler GPUs and 18,688 16-core AMD Opteron processors in 18,688 compute nodes, ORNL’s Titan Cray XK7 supercomputer is 9th in the Top 500 List of supercomputers with a LINPACK performance of 17.95 PFlops and a power consumption of 8.2 MW.
2018-11-12: Technical program chair at the 9th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems (ScalA), held in conjunction with the 31st IEEE/ACM International Conference on High Performance Computing, Networking, Storage and Analysis (SC), Dallas, TX, USA.
2018-10-21: Presentation of the co-authored research poster, A Comprehensive Informative Metric for Summarizing HPC System Status, at the 8th IEEE Symposium on Large Data Analysis and Visualization in conjunction with the 8th IEEE Vis 2018, Berlin, Germany.
2018-09-10: Presentation by Byung Hoon (Hoony) Park of the co-authored research paper, A Big Data Analytics Framework for HPC Log Data: Three Case Studies Using the Titan Supercomputer Log, at the 5th Workshop on Monitoring and Analysis for High Performance Systems Plus Applications (HPCMASPA) 2018, held in conjunction with the 19th IEEE International Conference on Cluster Computing (Cluster) 2018, Belfast, UK.
2018-08-28: Presentation of the co-authored research paper, Performance Efficient Multiresilience using Checkpoint Recovery in Iterative Algorithms, at the 11th Workshop on Resiliency in High Performance Computing (Resilience) in Clusters, Clouds, and Grids, held in conjunction with the 24th European Conference on Parallel and Distributed Computing (Euro-Par) 2018 Workshops, Turin, Italy.
2018-07-03: Invited talk on Characterizing Faults, Errors, and Failures in Extreme-Scale Systems at the Platform for Advanced Scientific Computing (PASC) Conference 2018, Basel, Switzerland.
Important Peer-reviewed Journal Publications
Symbols: 
Abstract, 
Publication, 
BibTeX Citation
- Saurabh Hukerikar and Christian Engelmann. Resilience Design Patterns: A Structured Approach to Resilience at Extreme Scale. Journal of Supercomputing Frontiers and Innovations (JSFI), volume 4, number 3, pages 4-42, 2017. South Ural State University Chelyabinsk, Russia. ISSN 2409-6008. DOI 10.14529/jsfi170301.
- Marc Snir, Robert W. Wisniewski, Jacob A. Abraham, Sarita V. Adve, Saurabh Bagchi, Pavan Balaji, Jim Belak, Pradip Bose, Franck Cappello, Bill Carlson, Andrew A. Chien, Paul Coteus, Nathan A. Debardeleben, Pedro Diniz, Christian Engelmann, Mattan Erez, Saverio Fazzari, Al Geist, Rinku Gupta, Fred Johnson, Sriram Krishnamoorthy, Sven Leyffer, Dean Liberty, Subhasish Mitra, Todd Munson, Rob Schreiber, Jon Stearley, and Eric Van Hensbergen. Addressing Failures in Exascale Computing. International Journal of High Performance Computing Applications (IJHPCA), volume 28, number 2, pages 127-171, 2014. SAGE Publications. ISSN 1094-3420. DOI 10.1177/1094342014522573.
- Christian Engelmann. Scaling To A Million Cores And Beyond: Using Light-Weight Simulation to Understand The Challenges Ahead On The Road To Exascale. Future Generation Computer Systems (FGCS), volume 30, number 0, pages 59-65, 2014. Elsevier B.V, Amsterdam, The Netherlands. ISSN 0167-739X. DOI 10.1016/j.future.2013.04.014.
- Chao Wang, Frank Mueller, Christian Engelmann, and Stephen L. Scott. Proactive Process-Level Live Migration and Back Migration in HPC Environments. Journal of Parallel and Distributed Computing (JPDC), volume 72, number 2, pages 254-267, 2012. Elsevier B.V, Amsterdam, The Netherlands. ISSN 0743-7315. DOI 10.1016/j.jpdc.2011.10.009.
- Christian Engelmann, Stephen L. Scott, Chokchai (Box) Leangsuksun, and Xubin (Ben) He. Symmetric Active/Active High Availability for High-Performance Computing System Services. Journal of Computers (JCP), volume 1, number 8, pages 43-54, 2006. Academy Publisher, Oulu, Finland. ISSN 1796-203X. DOI 10.4304/jcp.1.8.43-54.
Important Peer-reviewed Conference Publications
Symbols: Abstract, Publication, 
Presentation, BibTeX Citation
- Mohit Kumar, Saurabh Gupta, Tirthak Patel, Michael Wilder, Weisong Shi, Song Fu, Christian Engelmann, and Devesh Tiwari. Understanding and Analyzing Interconnect Errors and Network Congestion on a Large Scale HPC System. In Proceedings of the 48th IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) 2018, pages 107-114, Luxembourg City, Luxembourg, June 25-28, 2018. IEEE Computer Society, Los Alamitos, CA, USA. ISBN 978-1-5386-5596-2. ISSN 2158-3927. DOI 10.1109/DSN.2018.00023. Acceptance rate 27.2% (62/228).
- Rizwan Ashraf, Saurabh Hukerikar, and Christian Engelmann. Pattern-based Modeling of Multiresilience Solutions for High-Performance Computing. In Proceedings of the 9th ACM/SPEC International Conference on Performance Engineering (ICPE) 2018, pages 80-87, Berlin, Germany, April 9-13, 2018. ACM Press, New York, NY, USA. ISBN 978-1-4503-5095-2. DOI 10.1145/3184407.3184421. Acceptance rate 23.7% (14/59).
- Saurabh Gupta, Tirthak Patel, Christian Engelmann, and Devesh Tiwari. Failures 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, pages 44:1-44:12, Denver, CO, USA, November 12-17, 2017. ACM Press, New York, NY, USA. ISBN 978-1-4503-5114-0. DOI 10.1145/3126908.3126937. Acceptance rate 18.7% (61/327).
- David Fiala, Frank Mueller, Christian Engelmann, Kurt Ferreira, Ron Brightwell, and Rolf Riesen. Detection and Correction of Silent Data Corruption for Large-Scale High-Performance Computing. In Proceedings of the 25th IEEE/ACM International Conference on High Performance Computing, Networking, Storage and Analysis (SC) 2012, pages 78:1-78:12, Salt Lake City, UT, USA, November 10-16, 2012. ACM Press, New York, NY, USA. ISBN 978-1-4673-0804-5. Acceptance rate 21.2% (100/472).
- Chao Wang, Sudharshan S. Vazhkudai, Xiaosong Ma, Fei Meng, Youngjae Kim, and Christian Engelmann. NVMalloc: Exposing an Aggregate SSD Store as a Memory Partition in Extreme-Scale Machines. In Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium (IPDPS) 2012, pages 957-968, Shanghai, China, May 21-25, 2012. IEEE Computer Society, Los Alamitos, CA, USA. ISBN 978-0-7695-4675-9. DOI 10.1109/IPDPS.2012.90. Acceptance rate 20.7% (118/569).