Kartik Hegde

Kartik Hegde

CS PhD Student at UIUC

University of Illinois at Urbana-Champaign

Biography

I am a fourth year PhD student in Computer Science at UIUC advised by Prof. Chris Fletcher. I work at the interesection of computer architecture and machine learning: I have designed high-performance processors targeted at different ML workloads, I have built ML tools to make computers more efficient.

Before joining CS@Illinois, I worked at ARM, where I had a fantastic opportunity to build real-world products as a design engineer and develop successful prototypes to drive new products as a researcher in industrial R&D. I received my bachelors from NIT-K Surathkal in 2015 from the ECE department, where I was advised by Prof. Sumam David.

I am always looking for collaborations, especially motivated undergrads/grads. If you are interested in collaborating, or like any of my prior works and have ideas to advance it, or if you simply want to have a chat, feel free to contact me!

Interests
  • Computer Architecture
  • Domain Specific Programmable Processors
  • Machine Learning for Systems
Education
  • Ph.D. in Computer Science, 2017-Present

    University of Illinois at Urbana-Champaign

  • B.Tech in Electronics and Communication Engineering, 2011-2015

    National Institute of Technology Karnataka, Surathkal

Experience

 
 
 
 
 
Research Intern
Facebook AI Research
Jan 2020 – May 2020 Boston MA
Developed a novel control paradigm for hardware accelerators targeting irregular workloads such as recommendation systems.
 
 
 
 
 
Research Intern
Facebook Reality Labs
May 2019 – Aug 2019 Menlo Park, CA
Developed Mind Mappings, a gradient-based tool for algorithm-accelerator mapping space search.
 
 
 
 
 
Research Engineer
ARM Research
Jul 2017 – Jul 2019 San Jose, CA/Bangalore, KA
  • Worked on ARM SoC products with design, intergration, and verification at System/IP Level.
  • Lead the first internal research project on edge ML inference accelerator.
  • Built the ML accelerator prototype from scratch and demonstrated potential with IoT SoC integration with a fab ready GDS.
  • Pushed for adoption of the research to product successfully.

Recent Publications

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