Tapasya Patki
Biography
Tapasya is a Postdoctoral Research Staff Member at the Center for
Applied Scientific Computing at Lawrence Livermore National
Laboratory. 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. Broadly, she is interested in power-constrained
supercomputing, network topology research, performance modeling and
analysis, and HPC system software.
Tapasya earned her Ph.D. in Computer Science from The University of
Arizona under the advisement of Dr. David Lowenthal (2015). Her
dissertation research focused on exploring the potential of hardware
overprovisioning in power-constrained, high-performance
computing. Hardware overprovisioning is a novel HPC cluster design
approach that leads to significant improvements in application and
system performance under a power constraint.
Applied Scientific Computing at Lawrence Livermore National
Laboratory. 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. Broadly, she is interested in power-constrained
supercomputing, network topology research, performance modeling and
analysis, and HPC system software.
Tapasya earned her Ph.D. in Computer Science from The University of
Arizona under the advisement of Dr. David Lowenthal (2015). Her
dissertation research focused on exploring the potential of hardware
overprovisioning in power-constrained, high-performance
computing. Hardware overprovisioning is a novel HPC cluster design
approach that leads to significant improvements in application and
system performance under a power constraint.
Presentations
ACM Student Research Competition
Poster
Reception
