Aashaka Shah
Scholar

Aashaka Shah

Google Scholar ID: hsxzylEAAAAJ
Microsoft Research
Systems and Storage
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Citations & Impact
All-time
Citations
783
 
H-index
9
 
i10-index
9
 
Publications
13
 
Co-authors
0
 
Contact
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Publications
1 items
MSCCL++: Rethinking GPU Communication Abstractions for Cutting-edge AI Applications
2025
Cited
0
Resume
Academic Achievements
  • TACCL: Guiding Collective Algorithm Synthesis using Communication Sketches (NSDI 2023); Memory Optimization for Deep Networks (ICLR 2021, Spotlight Presentation); RainBlock: Faster Transaction Processing in Public Blockchains (Usenix ATC 2021); Analyzing the Impact of GDPR on Storage Systems (HotStorage 2019).
Research Experience
  • Senior Researcher at Microsoft Research; Summer internship at Meta AI Systems HW; Published papers in multiple international conferences.
Education
  • Ph.D. from the Computer Science department at the University of Texas at Austin (advised by Vijay Chidambaram; worked closely with Philipp Krähenbühl); Bachelor's degree in Computer Science and Engineering from the Indian Institute of Technology (IIT) Roorkee.
Background
  • Senior Researcher at Microsoft Research. Broadly interested in the intersection of systems and machine learning, particularly in building efficient high-performance ML Systems, with a current focus on I/O optimizations like those concerning network and memory. Also interested in using insights obtained from machine learning to build performative storage and cloud systems.
Miscellany
  • Email: aashakashah@microsoft.com