I am a Post Doc researcher at Princeton University working in Margaret Martonosi’s group. My research interests are in concurrency: programming, modeling, testing, and architecture. In particular, I am interested in exploring new heterogeneous architectures and how programming models can enable development of secure and efficient applications.
I am working on the DECADES project which is funded as part of the software defined hardware (SDH) project.
My previous research focused on GPU programming, namely modeling the semantics of fine-grained thread interactions and using these insights to provide efficient and portable synchronisation idiom implementations.
I received my PhD from the Multicore Programming Group at Imperial College London supervised by Alastair Donaldson. Previously, I worked with Ganesh Gopalakrishnan and Zvonimir Rakamaric at University of Utah. I have done internships at Microsoft Research and Nvidia.
PhD in Computer Science, 2018
Imperial College London
Advisor: Alastair Donaldson
Thesis: Device-wide Barrier Synchronisation on Graphics Processing Units
MS in Computer Science, 2014
University of Utah
Advisor: Ganesh Gopalakrishnan and Zvonimir Rakamaric
Thesis: Testing and Exposing Weak GPU Memory Models
A .gif showing the magnitude of weak memory behaviours for three litmus tests (MP, SB, LB) that appear when stressing individual memory locations of a scratchpad location. These patterns were key in finding and observing weak memory bugs in GPU applications (explained in PLDI’16 paper).
|ECOOP/ISSTA||PC for doctoral symposium||2018|
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