In-memory computing is a promising approach to addressing the processor-memory data
transfer bottleneck in computing systems. We propose spin-transfer torque compute-in …

This paper introduces a 3D-stacked logic-in-memory (LiM) system to accelerate the
processing of sparse matrix data that is held in a 3D DRAM system. We build a customized …

This paper introduces a 3D-stacked logic-in-memory (LiM) system that integrates the 3D die-
stacked DRAM architecture with the application-specific LiM IC to accelerate important data …

Spatial architectures are more efficient than traditional Out-of-Order (OOO) processors for
computationally intensive programs. However, spatial architectures require mapping a …

A memory capable of carrying out compute-in-memory (CiM) operations is disclosed. The
memory includes a matrix of bit cells having a plurality of bit cells along one or more rows …

In-memory computing is a promising approach to alleviating the processor-memory data
transfer bottleneck in computing systems. While spintronics has attracted great interest as a …

PageRank is an important vertex ranking algorithm that suffers from poor performance and
efficiency due to notorious memory access behavior. Furthermore, when graphs become …

Application specific processors exploit the structure of algorithms to reduce energy costs and
increase performance. These kinds of optimizations have become more and more important …

Sneak paths in nanoscale memristor crossbars have traditionally been viewed as a problem
in the use of memristor crossbars as non-volatile replacements of traditional volatile RAM …

As technology scaling is reaching its limits, pointing to the well-known memory and power
wall problems, achieving high-performance and energy-efficient systems is becoming a …