Recent Development in Analog Computation - A Brief Overview
Yang Xue

TL;DR
This paper reviews recent advances in analog computation, highlighting its energy efficiency advantages, architectural innovations, and ongoing challenges like accuracy and speed limitations.
Contribution
It provides a comprehensive overview of analog computation systems, emphasizing recent architectural and circuit design innovations that enhance energy efficiency.
Findings
Analog systems achieve higher energy efficiency than digital counterparts.
Innovative architectures and circuits mitigate some disadvantages of analog computation.
Analog computation is suitable for power-sensitive applications despite accuracy and speed trade-offs.
Abstract
The recent development in analog computation is reviewed in this paper. Analog computation was used in many applications where power and energy efficiency is of paramount importance. It is shown that by using innovative architecture and circuit design, analog computation systems can achieve much higher energy efficiency than their digital counterparts, as they are able to exploit the computational power inherent to the devices and physics. However, these systems do suffer from some disadvantages, such as lower accuracy and speed, and designers have come up with novel approaches to overcome them. The paper provides an overview of analog computation systems, from basic components such as memory and arithmetic elements, to architecture and system design.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAnalog and Mixed-Signal Circuit Design · Low-power high-performance VLSI design · Advanced Memory and Neural Computing
