Designing Accelerator-Centric Edge Architectures with Open-Source Platforms
Speaker: David Atienza – Lausanne, SwitzerlandTopic(s): Architecture, Embedded Systems and Electronics, Robotics
Abstract
Edge computing is targeting multiple domains nowadays, and a new set of complementary approaches have emerged as main avenues for designing novel accelerator-centric architectures for edge computing. The first approach is based on integrating accelerators in computing systems as part of the micro-architecture comprising validated open hardware components (processors, memories, and peripherals) to derive heterogeneous systems-on-chip. The second is to model the accelerator characteristics inside the edge architecture as a separate module that serves as co-processing system. In this talk, I will cover the pros and cons of these two approaches, focusing on recent works at the Embedded Systems Laboratory (ESL) of EPFL on the X-HEEP open hardware architectural template and the design of the ALPINE computing system for analog in-memory Acceleration with tight processor Integration. I will present these two systems, and describe how we employed these frameworks at ESL-EPFL with our industrial partners to explore emerging computation (e.g., analog vs. Digital in-memory computing) and communication (e.g., in-package wireless) paradigms to explore energy vs. performance vs. temperature control benefits in complex MPSoC architectures.
About this Lecture
Number of Slides: 38Duration: 50 minutes
Languages Available: English
Last Updated:
Request this Lecture
To request this particular lecture, please complete this online form.
Request a Tour
To request a tour with this speaker, please complete this online form.
All requests will be sent to ACM headquarters for review.