Harsha Vardhan Simhadri

Researcher, Microsoft Research India

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Theoretical and practical aspects of parallel computing, algorithmic engineering for future platforms,
programming abstractions and systems with an emphasis on scheduling for locality.
Recently, I have been developing tools for large scale topic models based on SVD
and training supervised learning models for resouce-constrained edge devices.


Program-Centric Cost Models for Locality and Parallelism


Teaching Assistant

  • 15-750: Graduate Algorithms (Spring 2011)
  • 15-499: Parallel Algorithms (Spring 2009)

2013-2016: Postdoctoral Fellow, CS Department, Lawrence Berkeley National Lab.
2007-2013: Ph.D., CS Department, Carnegie Mellon University, Advisor: Guy Blelloch
2003-2007: B.Tech, IIT Madras, Major: CS, Minor: Physics.