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System Software and Applications Team Lead
High Performance Computing Group
Advanced Computing, Mathematics, and Data Division
Pacific Northwest National Laboratory
Email: sriram (at) pnnl (dot) gov
Phone: (509) 372-6963
P.O. Box 999, MSIN: J4-30, Richland, WA - 99352
Sriram Krishnamoorthy currently is a research scientist and the System
Software and Applications Team Leader in PNNL's High Performance
Computing group, where he focuses on parallel programming models,
fault tolerance, and compile-time/runtime optimizations for
high-performance computing. He has more than 80 peer-reviewed
conference and journal publications, receiving Best Paper awards for
his publications at the International Conference on High Performance
Computing (HiPC'03) and the International Parallel and Distributed
Processing Symposium (IPDPS'04). In 2013, he received a
U.S. Department of Energy Early Career award. That year, he also
earned PNNL's Ronald L. Brodzinski Award for Early Career Exceptional
Achievement. In 2008, he received The Ohio State University's
Outstanding Researcher award. Dr. Krishnamoorthy is a senior member of
the Institute of Electrical and Electronics Engineers. He earned his
B.E. from the College of Engineering, Guindy (Chennai, India) and
M.S. and Ph.D. degrees from The Ohio State University.
Post-doctoral Research Associate Position
The High Performance Computing Group seeks a high-performance
computing Post Doctoral Researcher to actively participate in the
design and development of parallel runtime systems and applications
for scientific applications. In particular, the researcher will be
involved in the design, implementation, and evaluation of high-level
runtime systems and applications on sequential, multi-threaded, and
distributed-memory abstractions. This is a position that can lead to
high visibility and leadership in the research community.
If interested, please apply here.
Please consider attending WOLFHPC, the
Seventh International Workshop on
Domain-Specific Languages and High-Level Frameworks for High Performance Computing
SC17, Denver, Colorado, USA.
- Our paper "Analytical modeling of cache behavior for affine programs" has been accepted to appear in POPL 2018.
- Our paper "Lightweight detection of cache conflicts" has been accepted to appear in CGO 2018.