Perspectives on Emerging Computation-in-Memory Paradigms.
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
The traditional Von-Neumann architecture is reaching its limits and finding it difficult to cope up with the ever-increasing demands of modern workloads like artificial intelligence. This demand has fueled the search of technologies that can mimic human brain to efficiently combine both memory and computation within a single device. In this work, we present the state-of-the-art research in the domain of computation-in-memory. In particular, we take a look at memristors and its widespread application in neuromorphic computation. We introduce ReRAMs in terms of their novel computing paradigms and present ReRAM-specific design flows. We address the various circuit opportunities and challenges related to reliability and fault tolerance associated with them. Another high-potential candidate to leverage memory and computation from a single device is Ferroelectric Field-effect Transistor (FeFET). Here we present a co-integration of such FeFETs with another emerging nanotechnology concept, called Reconfigurable Field Effect Transistor (RFET) and discuss the impact of the higher amount of states provided by this combination.
Details
Original language | English |
---|---|
Title of host publication | DATE |
Pages | 1925-1934 |
Number of pages | 10 |
ISBN (electronic) | 9783981926354 |
Publication status | Published - 2021 |
Peer-reviewed | Yes |
External IDs
Scopus | 85111040381 |
---|