About me
I am a research scientist at AMD Research. I completed my PhD and Postdoc in Computer Science at the University of Illinois at Urbana-Champaign, working with Vikram Adve and Sasa Misailovic.
I work in the areas of Compilers and Systems for Machine Learning. I am passionate about developing compiler optimization frameworks that improve the performance and energy-efficiency of machine learning and AI workloads.
Interests
- Compilers
- Systems for Machine Learning
Education
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Ph.D. in Computer Science, 2014 - 2021
University of Illinois at Urbana-Champaign
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BS in Computer Science, 2009 - 2013
National University of Computer and Emerging Sciences, Lahore
News
- [March 2023] ApproxCaliper accepted at MLSys 2023
- [September 2022] Joined AMD Research
- [May 2022] HPVM capstone paper accepted at IEEE Micro Magazine Special Issue!
- [December 2021] Serving on the PPoPP'22 external program committee
- [September 2021] My PhD thesis is now public! PDF
- [July 2021] Journal version of the TRIMMER ASE'18 paper accepted at TSE'21
- [April 2021] PhD Thesis Completed. Continuing as Postdoc at UIUC.
- [April 2021] HPVM v1.0 public release now available! Gitlab project
- [March 2021] Presented ApproxTuner at PPoPP'21 (Virtual) - Video
- [November 2020] ApproxTuner paper accepted at PPoPP'21
- [October 2020] Presented ApproxTuner at LLVM-Dev'20 - Video
- [March 2020] Passed PhD Preliminary Exam!
- [January 2020] Released HPVM v0.5 - a retargetable compiler for heterogeneous systems. Presented at FOSDEM
- [October 2019] ApproxHPVM presented at OOPSLA'19
- [September 2019] AppproxHPVM paper accepted at OOPSLA'19
- [September 2018] TRIMMER presented at ASE'18
- [July 2018] TRIMMER paper accepted at ASE'18
- [September 2017] Presented OpenMP-UVM work at OpenMP Developers Conference 2017
- [January 2016] Joined the LLVM Group supervised by Vikram Adve