Tapasya Patki
Research Scientist at Lawrence Livermore National Laboratory, LLNL
Livermore, California, United States
Summary
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Senior🎓
Top SchoolTapasya Patki is a research scientist at Lawrence Livermore National Laboratory with 14 years of experience focusing on high-performance and parallel computing, power-constrained supercomputing, performance modeling, and system software. Her Ph.D. work argued for hardware-overprovisioned supercomputers, reflecting a blend of theoretical rigor and practical systems thinking applied to next-generation HPC design. She combines deep academic training from the University of Arizona with hands-on research at a national lab, driving solutions where energy, performance, and scalability intersect. Based in Livermore, California, she navigates both hardware-aware software stacks and large-scale system tradeoffs to improve compute efficiency. Notably, her profile signals an emphasis on measurable performance modeling rather than purely algorithmic advances, making her contributions directly applicable to operational supercomputers.
14 years of coding experience
The University of ArizonaRam Krishna Kulwant Rai School, New DelhiB Tech, Computer Science and Engineering, B Tech, Computer Science and Engineering at Guru Gobind Singh Indraprastha University
Github Skills (100)
benchmark10
instrumentation10
timing10
performance-testing10
perf10
profiling10
cpp10
trace10
registers10
job-scheduler10
aspect10
sampling10
hpc-applications10
flamegraph10
benchmarking10
Programming languages (8)
Github contributions (5)
flux-framework/flux-power-monitor
Sep 2021 - Sep 2024
Flux power monitoring and management modules
Contributions:2 PRs, 7 pushes, 3 branches in 3 years
tpatki/variorum
Jan 2020 - Aug 2024
Tool for hardware-level feature control
Contributions:1 PR, 328 pushes, 72 branches in 4 years 7 months
feature-controlhardware
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