Pristupačnost
The Computer Chapter and Education Chapter of the IEEE Croatia Section would like to invite you to the following lecture:
Overcoming the von Neumann Bottleneck with In-Memory Computing
which will be held by William Andrew Simon, PhD on Tuesday, February 7th, 2023, at 17:30h in lecture hall D160-2 at the Faculty of Electrical Engineering and Computing.
All interested parties are welcome to participate, especially students. The lecture will be held in English.
The lecture will also be available as a live stream on YouTube at the following link: FER ZESOI D160-2
The lecturer's curriculum vitae and the summary of the lecture can be found below.
Sažetak predavanja:
In-memory computing as a field of research proposes the abolition of the division between compute and memory components of a compute device, commonly referred to as the von Neumann bottleneck. A variety of innovative in-memory implementations have been proposed recently, and come in basic flavors, digital- and analog-based. This talk will discuss one example from each domain, that of the digital-based BLADE, and that of IBM’s analog-based HERMES core for performing in-memory matrix multiplications.
O predavaču:
William Andrew Simon received his Ph.D. in Electrical Engineering from Embedded Systems Laboratory (ESL) at the Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland, in 2022. He is currently a post-doctoral researcher at IBM Zurich in the Cloud Computing and AI Design Department. His current work focuses on in-memory computing centric architectures for accelerating deep neural networks.