Prakash Prabhu

Prakash Prabhu

I am a Sofware Engineer at Google with experience working in various aspects of search & advertising, ranging from mobile app query and app understanding, search over private corpora in the Cloud, and video ads feature engineering. My interests include information retrieval, distributed systems, parallel computing, program analysis & compiler optimizations. I received a PhD in Computer Science from Princeton University.

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Practical Performance Guarantees for Pipelined DNN Inference
Aaron Archer
Kuikui Liu
Matthew Fahrbach
Prakash Prabhu
Proceedings of the 41st International Conference on Machine Learning (2024), pp. 1655-1671
MemoDyn: Exploiting Weakly Consistent Data Structures for Dynamic Parallel Memoization
Prakash Prabhu
Stephen R. Beard
Sotiris Apostolakis
Ayal Zaks
David I. August
27th IEEE International Conference on Parallel Architecture and Compilation Techniques (PACT) (2018)
Speculatively Exploiting Cross-Invocation Parallelism
Jialu Huang
Prakash Prabhu
Thomas B. Jablin
Soumyadeep Ghosh
Sotiris Apostolakis
Jae W. Lee
David I. August
25th IEEE International Conference on Parallel Architecture and Compilation Techniques (PACT) (2016)
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