Harsha Vardhan Simhadri

Researcher, Microsoft Research India

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Algorithmic engineering for future platforms, theoretical and practical aspects of parallel computing.
Recently, I have been developing large scale topic models based on SVD (ISLE),
new ML models and algorithms for tiny resouce-constrained edge devices (EdgeML),
and efficient SSD-based platforms for large-scale ML tasks (BLAS-on-flash).
My PhD thesis was on parallel programming abstractions with an emphasis on scheduling for locality.



Program-Centric Cost Models for Locality and Parallelism

Students I have worked with
Grace Dinh, Chirag Gupta, Don Dennis, Shishir Patil, Suhas Jayaram Subramanya

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.