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

Author:   Vikram Jain ,  Marian Verhelst
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2024
ISBN:  

9783031382291


Pages:   186
Publication Date:   17 September 2023
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning: Journey from Single-core Acceleration to Multi-core Heterogeneous Systems


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Author:   Vikram Jain ,  Marian Verhelst
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2024
Weight:   0.489kg
ISBN:  

9783031382291


ISBN 10:   3031382293
Pages:   186
Publication Date:   17 September 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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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).

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