Towards Heterogeneous Multi-Core Systems-On-Chip for Edge Machine Learning: Journey from Single-Core Acceleration to Multi-Core Heterogeneous Systems
暫譯: 邁向邊緣機器學習的異質多核心系統單晶片：從單核心加速到多核心異質系統的旅程

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 TPC's 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).

Vikram Jain於2018年在瑞典查爾默斯科技大學獲得嵌入式電子系統設計（EESD）碩士學位，並於2023年在比利時魯汀大學獲得電機工程博士學位。他的博士研究專注於為邊緣計算的機器學習應用實現能效數位加速器和RISC-V處理器。他還曾在瑞士蘇黎世聯邦理工學院的IIS實驗室擔任訪問研究員，研究片上網路的實現。目前，他是加州大學伯克利分校SpeciaLIzed Computing Ecosystems (SLICE)實驗室和伯克利無線研究中心（BWRC）的博士後研究員，專注於高效能計算的異質整合和芯片模組架構。他於2023年獲得SSCS博士前成就獎，2022年獲得SSCS旅行獎，2019年獲得Lars Pareto旅行獎，並於2016年和2017年獲得瑞典學院（SI）頒發的著名研究獎學金。

Marian Verhelst是魯汀大學MICAS實驗室的全職教授，也是IMEC的研究主任。她的研究重點包括嵌入式機器學習、硬體加速器、硬體-演算法共同設計和低功耗邊緣處理。她於2008年在魯汀大學獲得博士學位，並於2008年至2010年在美國俄勒岡州希爾斯伯勒的Intel Labs擔任研究科學家。Marian是tinyML董事會成員，並活躍於DATE、ISSCC、VLSI和ESSCIRC的技術程序委員會，曾擔任tinyML2021的主席和AICAS2020的技術程序共同主席。Marian是IEEE SSCS的傑出講者，曾是比利時青年學院的成員，並擔任TVLSI、TCAS-II和JSSC的副編輯，以及佛蘭德政府的STEM諮詢委員會成員。她於2016年獲得比利時皇家學院的獎學金，2021年獲得Intel傑出研究者獎，以及2021年安德烈·米施克科學與政策獎。她是IEEE會士，並持有兩項歐洲研究委員會（ERC）獎助金（ERC起始獎勵Re-Sense和正在進行的ERC整合獎勵BINGO）。