Sordillo, S.; Cheikh, A.; Mastrandrea, A.; Menichelli, F.; Olivieri, M. Customizable Vector Acceleration in Extreme-Edge Computing: A RISC-V Software/Hardware Architecture Study on VGG-16 Implementation. Electronics2021, 10, 518.
Sordillo, S.; Cheikh, A.; Mastrandrea, A.; Menichelli, F.; Olivieri, M. Customizable Vector Acceleration in Extreme-Edge Computing: A RISC-V Software/Hardware Architecture Study on VGG-16 Implementation. Electronics 2021, 10, 518.
Sordillo, S.; Cheikh, A.; Mastrandrea, A.; Menichelli, F.; Olivieri, M. Customizable Vector Acceleration in Extreme-Edge Computing: A RISC-V Software/Hardware Architecture Study on VGG-16 Implementation. Electronics2021, 10, 518.
Sordillo, S.; Cheikh, A.; Mastrandrea, A.; Menichelli, F.; Olivieri, M. Customizable Vector Acceleration in Extreme-Edge Computing: A RISC-V Software/Hardware Architecture Study on VGG-16 Implementation. Electronics 2021, 10, 518.
Abstract
Computing in the cloud-edge continuum, as opposed to cloud computing, relies on high performance processing on the extreme edge of the IoT hierarchy. Hardware acceleration is a mandatory solution to achieve the performance requirements, yet it can be tightly tied to particular computation kernels, even within the same application. Vector-oriented hardware acceleration has gained renewed interest to support AI applications like convolutional networks or classification algorithms. We present a comprehensive investigation of the performance and power efficiency achievable by configurable vector acceleration subsystems, obtaining evidence of both the high potential of the proposed microarchitecture and the advantage of hardware customization in total transparency to the software program.
Keywords
edge-computing; processors; hardware acceleration
Subject
Engineering, Automotive Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
