Shashank Obla

Shashank Obla

I received my PhD in Electrical and Computer Engineering from Carnegie Mellon University, advised by Prof. James Hoe. My research interests lie in designing sustainable and programmable accelerators for datacenter-scale computing, alongside the abstractions necessary to model and optimize applications running on them.

Read my Research Statement | View my Resume

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News

July 2026
Successfully defended my PhD thesis titled “Accelerating Input-Dependent Streaming Applications on FPGAs”!
May 2026
Had a great time attending FCCM 2026. I presented our work on using the BoostX NIC for log monitoring at the MangoBoost tutorial, won 3rd place at the Reconfigurable Computing Challenge for our work on RapidScan, and presented our poster on RapidQ!

Selected Publications

RapidQ: Queueing-based Performance Modeling Framework for Rapid Simulation and Automated Tuning of Input-Dependent Streaming FPGA Pipelines
Shashank Obla, James C. Hoe, Bin Li
IEEE International Symposium on Workload Characterization (IISWC 2026) — To appear
2026
Accelerating Input-Dependent Streaming Applications on FPGAs
Shashank Obla
PhD Dissertation, Carnegie Mellon University, August 2026
PDF
2026
RapidScan: High-Throughput Parameterized HLS-based Streaming String Matching Library for FPGAs
Shashank Obla, Tommy Tracy II, Matthew Beck, James C. Hoe, Kevin Skadron, Wajih Ul Hassan
Reconfigurable Computing Challenge, FCCM 2026 — We won 3rd place 🥉!
PDF DOI Code Slides Poster
2026
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