[SPCL_Bcast] Heterogeneous multi-core systems for efficient EdgeML

Speaker: Marian Verhelst
Venue: SPCL_Bcast #43, recorded on 26th October, 2023
Abstract: Embedded ML applications are characterized by increasingly diverse workloads, forming a rich mixture of signal processing, GeMM and conv kernels, attention layers, and even graph processing. Accelerator efficiency suffers from supporting this wide variety of kernels. Heterogeneous multicore systems can offer a solution but come with their own challenges, such as: 1.) How to find the most optimal combination of cores?; 2.) How to efficiently map workloads across cores?; 3.) How to share data between these cores? This talk will report on a heterogeneous multi-core system for embedded neural network processing taped out at KULeuven MICAS. Moreover, it will give an outlook on work in progress towards further expanding this system for covering more workloads and more heterogeneous cores.

See https://spcl.inf.ethz.ch/Bcast/ for more talks.