Harsha Vardhan Simhadri

Researcher, Microsoft Research India

email LinkedIn page Microsoft Research Wegpage GitHub DBLP

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.