Conference paper Open Access

Applications of Computation-In-Memory Architectures based on Memristive Devices

Said Hamdioui; Hoang Anh Du Nguyen; Mottaqiallah Taouil; Abu Sebastian; Manuel Le Gallo; Sandeep Pande; Siebren Schaafsma; Francky Catthoor; Shidhartha Das; Fernando G. Redondo; Geethan Karunaratne; Abbas Rahimi; Luca Benini

Today’s computing architectures and device technologies are unable to meet the increasingly stringent demands on energy and performance posed by emerging applications. Therefore, alternative computing architectures are being explored that leverage novel post-CMOS device technologies. One of these is a Computation-in-Memory architecture based on memristive devices. This paper describes the concept of such an architecture and shows different applications that could significantly benefit from it. For each application, the algorithm, the architecture, the primitive operations, and the potential benefits are presented. The applications cover the domains of data analytics, signal processing, and machine learning.

Files (947.5 kB)
Name Size
DATE_Final_2018_invitedpaper_pureupload_1_.pdf
md5:c3922f6cbfcfa91520e81cafdff141d4
947.5 kB Download
5
8
views
downloads
All versions This version
Views 55
Downloads 88
Data volume 7.6 MB7.6 MB
Unique views 44
Unique downloads 66

Share

Cite as