Applications of Computation-In-Memory Architectures based on Memristive Devices
Said Hamdioui (TU Delft - Quantum & Computer Engineering)
Hoang Anh Du Nguyen (TU Delft - Computer Engineering)
Mottaqiallah Taouil (TU Delft - Computer Engineering)
Abu Sebastian (IBM Research)
Manuel Le Gallo (IBM Research)
Sandeep Pande (IMEC)
Siebren Schaafsma (IMEC)
Francky Catthoor (IMEC Nederland, IMEC)
Shidhartha Das (ARM)
Fernando G. Redondo (ARM)
G. Karunaratne (ETH Zürich)
Abbas Rahimi (ETH Zürich)
Luca Benini (ETH Zürich)
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Abstract
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.