Associative access is widely used in fundamental microarchitectural components, such as
caches and TLBs. However, associative (or content addressable) memories (CAMs) have …

The accuracy of neural networks has greatly improved across various domains over the past
years. Their ever-increasing complexity, however, leads to prohibitively high energy …

The computing-in-memory (CiM) approach is a promising option for addressing the
processor–memory data transfer bottleneck while performing data-intensive applications. In …

Content addressable memory (CAM) stands out as an efficient hardware solution for
memory-intensive search operations by supporting parallel computation in memory …

This paper presents the design of a multi-valued (MV) microprocessor not using
conventional electrical/charge based signals, but nanomagnetic configurations called …

Due to the high cost of data movement in the traditional von Neumann architecture,
particularly in many data-intensive workloads, in-memory computing (IMC), by integrating …

Although TCAM is a well-researched memory LSI amenable to search with Longest Prefix
Match (LPM), its restricted usage is within the address-based classification for the network …