Contact

Dr. Christian Engelmann
Oak Ridge National Laboratory
One Bethel Valley Road, Oak Ridge, TN 37831-6173, USA +1 (865) 574-3132
+1 (865) 576-5491
engelmannc@ornl.gov

Abstract

Dr. Christian Engelmann is a Research and Development Associate with the System Research Team of the Computer Science Research Group in the Computer Science and Mathematics Division at Oak Ridge National Laboratory. He holds a PhD and a MSc in Computer Science from the University of Reading, UK, and a German Certified Engineer diploma (MSc) in Computer Systems Engineering from the Technical College for Engineering and Economics Berlin. He has 8+ years of extensive experience in research and development for next-generation extreme-scale high-performance computing (HPC) systems. In collaboration with other laboratories and universities, his research aims at computer science challenges in HPC system software, such as dependability, scalability, and portability.

News

The recently formed Resilience Consortium aims at concentrating research and development efforts in HPC resilience toward the common goal of increasing the productivity of current- and next-generation HPC systems.
Jaguar, a 150,152-core Cray XT5 at ORNL, is still #2 in the latest Top 500 list and still the world's fastest open science supercomputer with a LINPACK performance of 1.059 PFlop/s and a theoretical peak of 1.3814 PFlop/s.
According to the latest Top 500 list, four of the world's 25 fastest supercomputers are located at ORNL, two Cray XT5 systems, Jaguar XT5 (#2) and Kraken (#6), and two Cray XT4 systems Jaguar XT4 (#12) and Athena (#21).
Dr. Engelmann recently attended a meeting of ORNL's System Research Team with Josh Simons, Tim Marsland, Greg Lavender, and Rebecca Arney from Sun Microsystems on virtualization in HPC (insideHPC, Josh Simons' blog).

Research Activities

2008-...: HPC system software resiliency solutions, including health monitoring, reliability analysis, fault prediction, proactive fault tolerance, reactive fault tolerance enhancements, and holistic fault tolerance ... more
2008-...: Light-weight simulation of future HPC architectures (~10,000,000 cores) to evaluate scalability/fault tolerance of key science algorithms [U.S. DOE Institute for Advanced Architecture and Algorithms] ... more
2006-09: Enhancing productivity for scientific application development, deployment and execution with the Harness Workbench Toolkit offering a common view across diverse HPC hardware and software platforms ... more
2006-08: Virtual system environments for "plug-and-play" supercomputing through desktop-to-cluster-to-petaflop computer system-level virtualization based on recent advances in hypervisor technologies ... more
2004-07: HPC reliability, availability and serviceability solutions, such as scalable membership management for MPI high availability and asymmetric active/standby (n+m) replication for head and service nodes ... more
2004-06: High availability for services running on HPC head and service nodes, such as Torque and PVFS MDS, using symmetric active/active (state-machine) replication with 99.9997% service uptime ... more
2002-04: Light-weight simulation of future HPC architectures (~1,000,000 processors) to evaluate scalability/fault tolerance of a new generation of super-scalable, naturally fault-tolerant scientific algorithms [IBM CRADA] ... more
2000-05: Pluggable lightweight heterogeneous distributed virtual machine (PVM successor) with an adaptive reconfigurable runtime environment, parallel plug-in paradigms, high availability, and fault-tolerant MPI ... more

Select Publications ( Abstract, Publication, Presentation, Citation, DOI)

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), pages 1-12, 2008. ISBN 978-1-4244-2835-9.
X. He, L. Ou, M. J. Kosa, S. L. Scott, and C. Engelmann. A Unified Multiple-Level Cache for High Performance Cluster Storage Systems. International Journal of High Performance Computing and Networking (IJHPCN), volume 5, number 1-2, pages 97-109, 2007. ISSN 1740-0562.
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), pages 23-32, 2007. ISBN 978-1-59593-768-1.
C. Wang, F. Mueller, C. Engelmann, and S. L. Scott. A Job Pause Service under LAM/MPI+BLCR for Transparent Fault Tolerance. In Proceedings of the 21st IEEE International Parallel and Distributed Processing Symposium (IPDPS), pages 1-10, 2007. ISBN 978-1-59593-768-1.
C. Engelmann, S. L. Scott, C. Leangsuksun, and X. He. Symmetric Active/Active High Availability for High-Performance Computing System Services. Journal of Computers (JCP), volume 1, number 8, pages 43-54, 2006. ISSN 1796-203X.
C. Engelmann, S. L. Scott, D. E. Bernholdt, N. R. Gottumukkala, C. Leangsuksun, J. Varma, C. Wang, F. Mueller, A. G. Shet, and P. Sadayappan. MOLAR: Adaptive Runtime Support for High-End Computing Operating and Runtime Systems. ACM SIGOPS Operating Systems Review (OSR), volume 40, number 2, pages 63-72, 2006. ISSN 0163-5980.
K. Uhlemann, C. Engelmann, and S. L. Scott. JOSHUA: Symmetric Active/Active Replication for Highly Available HPC Job and Resource Management. In Proceedings of the 8th IEEE International Conference on Cluster Computing (Cluster), pages 1-10, 2006. ISBN 1-4244-0328-6. ISSN 1552-5244.
R. Baumann, C. Engelmann, and G. A. Geist. A Parallel Plug-in Programming Paradigm. In Lecture Notes in Computer Science: Proceedings of the 7th International Conference on High Performance Computing and Communications (HPCC), pages 823-832, 2006. ISBN 978-3-540-39368-9. ISSN 0302-9743.
J. Varma, C. Wang, F. Mueller, C. Engelmann, and S. L. Scott. Scalable, Fault-Tolerant Membership for MPI Tasks on HPC Systems. In Proceedings of the 20th ACM International Conference on Supercomputing (ICS), pages 219-228, 2006. ISBN 1-59593-282-8.
K. Limaye, C. Leangsuksun, Z. Greenwood, S. L. Scott, C. Engelmann, R. M. Libby, and K. Chanchio. Job-Site Level Fault Tolerance for Cluster and Grid Environments. In Proceedings of the 7th IEEE International Conference on Cluster Computing (Cluster), pages 1-9, 2005. ISBN 0-7803-9486-0. ISSN 1552-5244.
C. Engelmann and G. A. Geist. Super-Scalable Algorithms for Computing on 100,000 Processors. In Lecture Notes in Computer Science: Proceedings of the 5th International Conference on Computational Science (ICCS), Part I, pages 313-320, 2005. ISBN 978-3-540-26032-5. ISSN 0302-9743.