Litcius/Paper detail

AxoNN

Ismet Dagli, Alexander Cieslewicz, Jedidiah McClurg, Mehmet E. Belviranlı

2022Proceedings of the 59th ACM/IEEE Design Automation Conference37 citationsDOIOpen Access PDF

Abstract

The energy and latency demands of critical workload execution, such as object detection, in embedded systems vary based on the physical system state and other external factors. Many recent mobile and autonomous System-on-Chips (SoC) embed a diverse range of accelerators with unique power and performance characteristics. The execution flow of the critical workloads can be adjusted to span into multiple accelerators so that the trade-off between performance and energy fits to the dynamically changing physical factors.

Topics & Concepts

Computer scienceWorkloadLatency (audio)Embedded systemOperating systemDistributed computingTelecommunicationsParallel Computing and Optimization TechniquesEmbedded Systems Design TechniquesCCD and CMOS Imaging Sensors