… need for adopting the new computing architecture, Computing-in-Memory. We discussed
use … Computing in Memory is already being demonstrated in research and slowly adopted in …

… computation. • We design a set of circuits and microarchitecture to enable the NN computation
in memory, … , eg reusing the peripheral circuits for both memory and computation functions. …

… In this review, we take a co-design view of this cross-bar based, compute-in-memory
approach. We explore the role of new materials and devices in addressing this challenge while …

… In-memory computing (IMC) paradigm is the most promising … The old applications need to
be revisited and re-evaluated … applications, one to be revisited and another to be explored. …

… under the umbrella of Near-Memory Computing. This is done to distinguish it from the in-situ
Computation-in Memory (CIM) by means of novel non-volatile memories like memristors. It …

… The latter was revisited recently in [21], where the authors … , eventually ruining the concept
of in-memory computing. … proper synthesis methods for in-memory computing architectures. So…

… Data partitioning is an important primitive for in-memory … inmemory data systems. In
this paper, we carefully consider this data partitioning primitive in the context of multi-core in-memory …

… To provide higher bandwidth with lower access latencies, hardware architects have proposed
near-memory computing (also called processing-in-memory, or PIM), where a lightweight …

… in-memory accelerator for chasing pointers in any linked data structure, called the In-Memory …
Unlike prior works that proposed general architectural models for in-memory computation …

… the abundant in-memory bandwidth. Recently, the concept of PIM has been revisited
because of the … 38] and the prevalence of data-intensive applications, such as graph-computing …