News

Aug 30, 2024 ๐ŸŽ‰ I passed my PhD final oral examination! Thatโ€™s a wrap for my grad school experience :)
Jul 31, 2024 ๐ŸŽ‰ I will be joining the University of Waterloo ECE department as a tenure-track assistant professor starting January 2025!
Jun 06, 2024 ๐ŸŽ‰ I passed my PhD departmental oral examination! One defence down, one more to go :)
May 29, 2024 ๐Ÿ“œ Our work on using FPGA software-programmable overlays for accelerating of graph neural network inference is accepted for publication in FPLโ€™24!
Mar 18, 2024 ๐Ÿ“œ Our work on FPGA-based graph neural network acceleration is accepted for a poster presentation in FCCMโ€™24!
Dec 13, 2023 ๐ŸŽค George Constantinides, Christos-Savvas Bouganis, and myself will be organizing a SpatialML Workshop at ISFPGAโ€™24!
Dec 13, 2023 ๐Ÿ† Our FPTโ€™23 paper on 3D-stacked reconfigurable acceleration devices won best paper award!
Oct 19, 2023 ๐Ÿ“œ Our work on 3D-stacked reconfigurable acceleration devices is accepted for publication in FPTโ€™23!
May 24, 2023 ๐Ÿ“œ Our work on the architecture exploration flow of future RADs is accepted for publication in FPLโ€™23!
Apr 30, 2023 ๐Ÿ“œ Our book chapter on FPGA architecture is published as part of the Handbook of Computer Architecture by Springer Nature!
Apr 20, 2023 ๐Ÿ“œ Our work extending the Koios suite of deep learning FPGA benchmark circuits is accepted for publication in TCAD!
Mar 17, 2023 ๐Ÿ“œ Our work on placement optimization for FPGAs with embedded hard NoCs is accepted for publication as a full paper in FCCMโ€™23!
Sep 05, 2022 ๐Ÿ“œ Our work on flexible FPGA-based acceleration of NLP models (BERT, GPT) is accepted for publication in TACO!
Aug 29, 2022 ๐Ÿ“œ Our journal paper on architecture and application co-design for new beyond-FPGA devices is accepted for publication in IEEE Access!
Jul 03, 2022 ๐Ÿ“œ Our paper on FPGA smart NICs for AI training is accepted for publication in the IEEE Computer Architecture Letters!
Jun 14, 2022 ๐Ÿ“œ Our paper on architecture exploration for novel beyond-FPGA reconfigurable acceleration devices is accepted for publication in FPLโ€™22!
Dec 22, 2021 ๐Ÿ† Our paper on specializing AI FPGA overlays won one of the best paper awards in ICMโ€™21!
Oct 17, 2021 ๐Ÿ“œ Our work on specializing AI overlays for target workloads is accepted for publication in ICMโ€™21!
May 25, 2021 ๐Ÿ“œ Our survey on the principles and progression of FPGA architecture is published in the IEEE Circuits and Systems magazine!
May 14, 2021 ๐Ÿ“œ Two full papers accepted for publication in FPLโ€™21!
Apr 13, 2021 ๐ŸŽ‰ Our work on the Stratix 10 NX neural processing unit is featured on Intelโ€™s Stratix 10 NX official webpage and in this white paper!
Mar 08, 2021 ๐Ÿ“œ Our work on enhancing FPGAs with in-BRAM compute for deep learning was accepted for publication as a full paper in FCCMโ€™21!
Dec 09, 2020 ๐Ÿ† Our paper on deep learning security in multi-tenant cloud FPGAs was nominated for the best paper award in FPTโ€™20!
Nov 01, 2020 ๐Ÿ“œ Two full papers accepted for publication in FPTโ€™20! Too bad I cannot visit Hawaii during the COVID-19 pandemic!
Apr 10, 2020 ๐Ÿ“œ Our work on optimizing FPGA logic blocks for deep learning arithmetic was accepted for publication in TRETS!
Mar 24, 2020 ๐ŸŽ‰ I am honored to join the Vector Institute as one of 22 post-graduate affiliates across Canada in the 2020 cohort (Announcement).
Oct 06, 2019 ๐Ÿ“œ Our work on multi-FPGA acceleration of neural machine translation acceleration was accepted for publication in FPTโ€™19!
Mar 03, 2019 ๐Ÿ“œ Our work on FPGA and ASIC integration for persistent RNNs was accepted for publication in FCCMโ€™19!
Nov 15, 2018 ๐Ÿ“œ Our work on FPGA logic blocks for low-precision deep learning was accepted for publication in FPGAโ€™19.
Nov 15, 2018 ๐Ÿ“œ Our work on evaluating and enhancing Intel Stratix 10 FPGAs for persistent AI was accepted for a poster presentation in FPGAโ€™19.
Aug 31, 2018 ๐Ÿ† Our paper on low-precision DSP blocks for deep learning won the S. Vassiliadis Best Paper Award in FPLโ€™18!
Aug 08, 2018 ๐ŸŽ‰ I successfully defended my MASc thesis titled โ€œEnhancing FPGA Architecture for Efficient Deep Learning Inferenceโ€!
Jul 25, 2018 ๐Ÿ“œ Our work on quantifying the efficiency gap between FPGA and ASIC CNN accelerators was accepted for publication in TRETS.
May 21, 2018 ๐Ÿ“œ Our work on low-precision DSP blocks for deep learning was accepted for publication in FPLโ€™18.
Apr 21, 2018 ๐Ÿ† I won the University of Toronto Right Track CAD Graduate Scholarship for research excellence in the field of programmable logic.
Feb 01, 2018 ๐ŸŽ‰ I am thrilled to join the Vector Institute as a post-graduate affiliate in the 2018 cohort (Announcement).