Workshop "Brain Inspired Computing”
March 24, 2021
Under the aegis of UKIERI and SPARC Scheme
Jointly Organized by
Dept. of EEE, The University of Sheffield (UK)
Dept. of ECE, Indian Institute of Technology, Roorkee (IN)
and H2020 Project INFET
Why Brain Inspired Computing? Modern computers are based on the von Neumann architecture in which computation and storage are physically separated. It has been evaluated that, for many computing tasks, most of the energy and time are consumed in data movement, rather than computation. One promising solution is the brain-inspired architecture that leverages the distributed computing of neurons with localized storage in synapses.
Coordinators:
Dr. Merlyne De Souza; PI, UKIERI, EEE Dept, University of Sheffield (UK)
Dr. Sanjeev Manhas; PI, SPARC, ECE Dept, IIT Roorkee (IN)
Schedule Details (UK times)
• 11:00-11:05am “Welcome note by organisers”, Merlyne De Souza, University of Sheffield (UK)
• 11:05-11:30am“Algorithm-circuits-device co-design for neuromorphic edge intelligence”, Melika Payvvand, ETH Zurich (CH)
• 11:30am-12pm “Adapting communication delays between neurons: A new type of brain plasticity”, Renaud Jolivet, University of Geneva (CH)
• 12-12.30pm “Self-adaptive and defect tolerant in-memory analogue computing with memristors”, Can Li, Hong Kong University (HK)
• 12:30-1:00 pm “In situ learning using intrinsic memristor variability”, Damien Querlioz, Université Paris-Saclay, France (F)
• 1:00-1:30pm “In memory hyper dimensional computing”, Abbas Rahimi, IBM Zurich (CH)
• 1:30pm-2:00pm “Introduction to NeuroSim: A Benchmark Tool for Compute-in-Memory
Accelerator”, Shimeng Yu, Georgia Tech (USA)
