Scholar
Tapasya Patki
Google Scholar ID: V_tzJ6sAAAAJ
Lawrence Livermore National Laboratory
Citations & Impact
Citations
541
H-index
12
i10-index
15
Publications
20
Co-authors
14
list available
Contact
Publications
Resume (English only)
Academic Achievements
- - Her dissertation research focused on exploring the potential of hardware overprovisioning in power-constrained, high-performance computing. This novel HPC cluster design approach leads to significant improvements in application and system performance under a power constraint.
Research Experience
- - Computer Scientist at Lawrence Livermore National Laboratory
- - Research Focus: Design and implementation of exascale operating systems and next-generation HPC resource managers, with a specific focus on power/network awareness and application performance optimization under multiple constraints.
Education
- - Ph.D. in Computer Science from The University of Arizona, advised by Dr. David Lowenthal (2015)
- - Master's in Computer Science from The University of Arizona (2009)
- - Bachelor's in Computer Science and Engineering from GGS Indraprastha University, India (2007)
Background
- Her research interests include power-constrained supercomputing, network topology research, performance modeling and analysis, and HPC system software. Her current research involves the design and implementation of exascale operating systems and next-generation HPC resource managers, with a specific focus on power/network awareness and application performance optimization under multiple constraints.
