Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning: Journey from Single-core Acceleration to Multi-core Heterogeneous Systems

About Marian VerhelstVikram Jain

Vikram Jain received his M.Sc degree in Embedded Electronics Systems Design (EESD) from Chalmers University of Technology Sweden in 2018 and his PhD degree in Electrical Engineering from KU Leuven Belgium in 2023. His PhD research was in implementation of energy efficient digital acceleration and RISC-V processors for machine learning applications at the edge. He was also a visiting researcher at the IIS lab in ETH Zurich working on implementation of networks-on-chip. He is currently a postdoctoral researcher at SpeciaLIzed Computing Ecosystems (SLICE) lab and Berkeley Wireless Research Center (BWRC) in University of California Berkeley working on heterogeneous integration and chiplet architectures for high-performance computing. He is a recipient of the SSCS Predoctoral Achievement Award in 2023 the SSCS travel grant in 2022 the Lars Pareto travel grant in 2019 and a prestigious research fellowship from Swedish Institute (SI) in 2016 and 2017. Marian Verhelst isa full professor at the MICAS laboratories of KU Leuven and a research director at IMEC. Her research focuses on embedded machine learning hardware accelerators HW-algorithm co-design and low-power edge processing. She received a PhD from KU Leuven in 2008 and worked as a research scientist at Intel Labs Hillsboro OR from 2008 till 2010. Marian is a member of the board of directors of tinyML and active in the TPCs of DATE ISSCC VLSI and ESSCIRC was the chair of tinyML2021 and TPC co-chair of AICAS2020. Marian is an IEEE SSCS Distinguished Lecturer was a member of the Young Academy of Belgium an associate editor for TVLSI TCAS-II and JSSC and a member of the STEM advisory committee to the Flemish Government. Marian received the laureate prize of the Royal Academy of Belgium in 2016 the 2021 Intel Outstanding Researcher Award and the André Mischke YAE Prize for Science and Policy in 2021. She is an IEEE fellow and holds 2 ERC grants (ERC Starting Grant Re-Sense and ongoingERC Consolidator Grant BINGO).