CiM3D: Comparator-in-Memory Designs Using Monolithic 3-D Technology for Accelerating Data-Intensive Applications

CiM3D: Comparator-in-Memory Designs Using Monolithic 3-D Technology for Accelerating Data-Intensive Applications

Blog Article

The compare operation is widely used in many Above Ground Product (Cleaners) applications, from fundamental sorting to primitive operations in the database and AI systems.We present SRAM-based 3-D-CAM circuit designs using a monolithic 3-D (M3D) integration process for realizing beyond-Boolean in-memory compare operation without any area overheads.We also fabricated a processing-in-memory (PiM) macro with the same 3-D-CAM circuit using M3D for performing massively parallel compare operations used in the database, machine learning, and scientific applications.

We show various system designs with the 3-D-CAM supporting operations, such as data filtering, sorting, and sparse matrix–matrix multiplication (SpGEMM).Our systems exhibit up to $272 imes $ , $200 imes $ , and $226 imes $ speedups and $151 imes Protein Blends $ , $37 imes $ , and $156 imes $ energy savings compared to systems using near memory compute for the data filtering, sorting, and SpGEMM applications, respectively.