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 awareness and application performance optimization. Broadly, she is interested in power-constrained supercomputing, performance modeling and analysis, scientific workflow management and resilience.
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.
Prior to her Ph.D., she graduated with a Bachelor's in Computer Science and Engineering from GGS Indraprastha University, India (2007), and with a Master's in Computer Science from the University of Arizona (2009).