Omkar Bhilare

PhD student · Computer Architecture · Reconfigurable Computing

I am a PhD student at the University of Toronto, working with Prof. Jason Anderson. My research centers on Coarse-Grained Reconfigurable Arrays (CGRAs), a class of reconfigurable architectures that approach ASIC performance and energy efficiency while staying programmable at runtime. I design and explore CGRA architectures, and build the CAD mapping algorithms that run applications on them. I also completed a research internship at RIKEN Center for Computational Science with Dr. Kentaro Sano.

Before my PhD, I was a Silicon Design Engineer at AMD in India. As an undergraduate in Electronics, I interned with Prof. Paolo Ienne at EPFL on Dynamatic, with Prof. Kamakoti at IIT Madras on the Shakti processor, and took part in Google Summer of Code with BeagleBoard.org on BeagleWire.

I am open to collaborations in computer architecture, reconfigurable computing, and RTL design & verification. Feel free to reach out.

Publications

HEART '26
★ Best Paper Award
Hardware Sharing for Area Optimization of Floating-Point ALUs
R. Ide, T. Ahmed, B. Adhi, S. Kawai, Omkar Bhilare, Jason Anderson
International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies (HEART), 2026
bibtex
@inproceedings{ide2026hwsharing,
  author    = {Ide, R. and Ahmed, T. and Adhi, B. and Kawai, S. and Bhilare, Omkar and Anderson, Jason H.},
  title     = {Hardware Sharing for Area Optimization of Floating-Point {ALUs}},
  booktitle = {Highly Efficient Accelerators and Reconfigurable Technologies (HEART)},
  year      = {2026},
  doi       = {10.1145/3814576.3814584}
}
CGRA4HPCA '26
Predication in Elastic CGRAs
Omkar Bhilare, Omar Ragheb, Boma Adhi, Kentaro Sano, Jason Anderson, Tomohiro Ueno
Workshop on CGRAs for High Performance Computing (CGRA4HPCA) at IPDPS, 2026

Extends an elastic CGRA and the CGRA-ME 2.0 CAD flow with partial and full predication, comparing a local-predicate design against a dedicated 1-bit global predicate network.

bibtex
@inproceedings{bhilare2026predication,
  author    = {Bhilare, Omkar and Ragheb, Omar and Adhi, Boma and Sano, Kentaro and Anderson, Jason and Ueno, Tomohiro},
  title     = {Predication in Elastic {CGRAs}},
  booktitle = {Workshop on CGRAs for High Performance Computing (CGRA4HPCA) at IPDPS},
  year      = {2026},
  url       = {https://ieeexplore.ieee.org/document/11652038}
}
HEART '24
CAD Techniques for NoC-Connected Multi-CGRA Systems
Haron Wei, Omkar Bhilare, Hamas Waqar, Jason Anderson
International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies (HEART), 2024

Partitions and places applications across sixteen 4x4 CGRAs connected by a 2D mesh network-on-chip, and studies the quality and runtime of the CAD flow.

bibtex
@inproceedings{wei2024noc,
  author    = {Wei, Haron and Bhilare, Omkar and Waqar, Hamas and Anderson, Jason},
  title     = {{CAD} Techniques for {NoC}-Connected Multi-{CGRA} Systems},
  booktitle = {Highly Efficient Accelerators and Reconfigurable Technologies (HEART)},
  year      = {2024},
  doi       = {10.1145/3665283.3665297}
}
PDCAT '23
DEEPFAKE CLI: Accelerated Deepfake Detection Using FPGAs
Omkar Bhilare, Rahul Singh, Vedant Paranjape, Sravan Chittupalli, Shraddha Suratkar, Faruk Kazi
Parallel and Distributed Computing, Applications and Technologies (PDCAT), 2023

Accelerates a quantized MesoNet / EFF-YNet deepfake detector on the Versal VCK5000, reaching 316.8 FPS at 93% accuracy.

bibtex
@inproceedings{bhilare2023deepfake,
  author    = {Bhilare, Omkar and Singh, Rahul and Paranjape, Vedant and Chittupalli, Sravan and Suratkar, Shraddha and Kazi, Faruk},
  title     = {{DEEPFAKE CLI}: Accelerated Deepfake Detection Using {FPGAs}},
  booktitle = {Parallel and Distributed Computing, Applications and Technologies},
  publisher = {Springer Nature Switzerland},
  pages     = {45--56},
  year      = {2023},
  doi       = {10.1007/978-3-031-29927-8_4}
}

Invited Talks

News

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Projects

Hardware and FPGA projects, mostly from my undergraduate years.

Writing

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