Christian Engelmann
Senior Scientist and Group Leader, Intelligent Systems and Facilities Research
Bio
Dr. Christian Engelmann is a Senior Computer Scientist and the Intelligent Systems and Facilities Research Group Leader at Oak Ridge National Laboratory (ORNL), the US Department of Energy’s (DOE) largest multiprogram science and technology laboratory with an annual budget of $2.7 billion and 6,000+ staff. He has more than 23 years experience in software research and development for extreme-scale high-performance computing (HPC) systems. Dr. Engelmann’s research solves computer science challenges in HPC software, such as scalability, dependability, and interoperability.
Dr. Engelmann’s primary expertise is in HPC resilience, i.e., efficiency and correctness in the presence of faults, errors, and failures. He is a leading HPC resilience expert and was a member of the DOE Technical Council on HPC Resilience 2013-15. He received the 2015 DOE Early Career Award for research in resilience design patterns. Dr. Engelmann’s secondary expertise is in system software for the instrument-to-edge-to-Cloud-to-center computing continuum, enabling science breakthroughs with autonomous experiments, self-driving laboratories, smart manufacturing, and artificial intelligence (AI) driven design, discovery and evaluation. He further has expertise in lightweight simulation of future-generation extreme-scale supercomputers, studying the impact of hardware/software properties on performance and resilience for application-architecture co-design. Dr. Engelmann is also an expert in operating system and runtime software for parallel and distributed systems.
Dr. Engelmann earned a Dipl.-Ing. (FH) in Computer Systems Engineering from the University of Applied Sciences Berlin, Germany, and a M.Sc. in Computer Science from the University of Reading, UK, both in 2001 as conjoint degrees, 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 the Institute of Electrical and Electronics Engineers (IEEE). He is also a Member of the Society for Industrial and Applied Mathematics (SIAM) and the Advanced Computing Systems Association (USENIX).
More information can be found on Dr. Engelmann’s personal homepage, including details about prominent solutions, ongoing research projects, past research projects and a full list of publications.
Professional Experience
- Group Leader, Intelligent Systems and Facilities – Oak Ridge National Laboratory (10/2020-Present)
- Senior R&D Staff – Oak Ridge National Laboratory (4/2018-Present)
- R&D Staff – Oak Ridge National Laboratory (9/2009-3/2018)
- R&D Associate – Oak Ridge National Laboratory (5/2004-8/2009)
- Post-Master’s Research Associate – Oak Ridge National Laboratory (6/2001-4/2004)
- Software Developer – Oak Ridge National Laboratory (8/2000-1/2001)
- Software Developer – Hewlett-Packard, Germany (10/1998-9/1999)
Education
- Ph.D. in Computer Science – University of Reading, UK (12/2008)
- M.Sc. in Computer Science – University of Reading, UK (7/2001)
- Dipl.-Ing. (FH) in Computer Systems Engineering – University of Applied Sciences Berlin, Germany (2/2001)
Professional Affiliations
- Advanced Computing Systems Association (USENIX)
- Association for Computing Machinery (ACM) – Senior Member
- Institute of Electrical and Electronics Engineers (IEEE) – Senior Member
- Society for Industrial and Applied Mathematics (SIAM)
Publications
Other Publications
Highly Cited Peer-Reviewed Publications
- A. B. Nagarajan, F. Mueller, C. Engelmann, and S. L. Scott. Proactive Fault Tolerance for HPC with Xen Virtualization. In Proceedings of the 21st ACM International Conference on Supercomputing (ICS) 2007, June, 2007. DOI 10.1145/1274971.1274978. Accept. rate 23.6% (29/123). 527 citations.
- M. Snir, R. W. Wisniewski, J. A. Abraham, S. V. Adve, S. Bagchi, P. Balaji, J. Belak, P. Bose, F. Cappello, B. Carlson, A. A. Chien, P. Coteus, N. A. Debardeleben, P. Diniz, C. Engelmann, M. Erez, S. Fazzari, A. Geist, R. Gupta, F. Johnson, S. Krishnamoorthy, S. Leyffer, D. Liberty, S. Mitra, T. Munson, R. Schreiber, J. Stearley, and E. V. Hensbergen. Addressing Failures in Exascale Computing. International Journal of High Performance Computing Applications (IJHPCA), volume 28, number 2, May, 2014. DOI 10.1177/1094342014522573. 526 citations.
- D. Fiala, F. Mueller, C. Engelmann, K. Ferreira, R. Brightwell, and R. 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, November, 2012. DOI 10.1109/SC.2012.49. Accept. rate 21.2% (100/472). 386 citations.
- C. Wang, F. Mueller, C. Engelmann, and S. L. Scott. Proactive Process-Level Live Migration in HPC Environments. In Proceedings of the 21st IEEE/ACM International Conference on High Performance Computing, Networking, Storage and Analysis (SC) 2008, November, 2008. DOI 10.1145/1413370.1413414. Accept. rate 21.3% (59/277). 250 citations.
- J. Elliott, K. Kharbas, D. Fiala, F. Mueller, K. Ferreira, and C. Engelmann. Combining Partial Redundancy and Checkpointing for HPC. In Proceedings of the 32nd International Conference on Distributed Computing Systems (ICDCS) 2012, June, 2012. DOI 10.1109/ICDCS.2012.56. Accept. rate 13.8% (71/515). 203 citations.
Other Significant Publications
- M. Kumar, S. Gupta, T. Patel, M. Wilder, W. Shi, S. Fu, C. Engelmann, and D. Tiwari. Study of Interconnect Errors, Network Congestion, and Applications Characteristics for Throttle Prediction on a Large Scale HPC System. Journal of Parallel and Distributed Computing (JPDC), volume 153, July, 2021. DOI 10.1016/j.jpdc.2021.03.001.
- G. Ostrouchov, D. Maxwell, R. Ashraf, C. Engelmann, M. Shankar, and J. Rogers. GPU Lifetimes on Titan Supercomputer: Survival Analysis and Reliability. In Proceedings of the 33rd IEEE/ACM International Conference on High Performance Computing, Networking, Storage and Analysis (SC) 2020, November, 2020. DOI 10.1109/SC41405.2020.00045. Accept. rate 25.1% (95/378).
- H. Jeong, Y. Yang, C. Engelmann, V. Gupta, T. M. Low, P. Grover, V. Cadambe, and K. Ramchandran. 3D Coded SUMMA: Communication-Efficient and Robust Parallel Matrix Multiplication. In Lecture Notes in Computer Science: Proceedings of the 26th European Conference on Parallel and Distributed Computing (Euro-Par) 2020, August, 2020. DOI 10.1007/978-3-030-57675-2_25. Accept. rate 24.5% (39/159).
- A. Katti, G. D. Fatta, T. Naughton, and C. Engelmann. Epidemic Failure Detection and Consensus for Extreme Parallelism. International Journal of High Performance Computing Applications (IJHPCA), volume 32, number 5, September, 2018. DOI 10.1177/1094342017690910.
- D. Fiala, F. Mueller, K. Ferreira, and C. Engelmann. Mini-Ckpts: Surviving OS Failures in Persistent Memory. In Proceedings of the 30th ACM International Conference on Supercomputing (ICS) 2016, June, 2016. DOI 10.1145/2925426.2926295. Accept. rate 24.2% (43/178).
- C. 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, January, 2014. DOI 10.1016/j.future.2013.04.014. 7o citations.