The Power of Computation-in-Memory Based on Memristive Devices
J. Yu (TU Delft - Computer Engineering)
Muath Abu Lebdeh (TU Delft - Computer Engineering)
H.A. Du Nguyen (TU Delft - Computer Engineering)
M. Taouil (TU Delft - Computer Engineering)
S. Hamdioui (TU Delft - Quantum & Computer Engineering)
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Abstract
Conventional computing architectures and the CMOS technology that they are based on are facing major challenges such as the memory bottleneck making the memory access for data transfer a major killer of energy and performance. Computation-in-memory (CIM) paradigm is seen as a potential alternative that could alleviate such problems by adding computational resources to the memory, and significantly reducing the communication. Memristive devices are promising enablers of a such CIM paradigm, as they are able to support both storage and computing. This paper shows the power of memristive device based CIM paradigm in enabling new efficient application-specific architectures as well as efficient implementations of some known domain-specific architectures. In addition, the paper discusses the potential applications that could benefit from such paradigm and highlights the major challenges.