Add to ORKGEnergy concerns, the infamous memory wall, and the enormous data deluge of the current big-data age have made the integration of processing and memory elements into a very appealing paradigm. In this paper, we focus on a computation-in-memory solution to the problem of multiplying a set of Boolean matrices, also known as Boolean matrix chain multiplication (BMCM). This is a fundamental computational task with applications in graph theory, group testing, data compression, and digital signal processing. In particular, we propose a framework for mapping arbitrary instances of BMCM to a 3-dimensional (3D) crossbar memory architecture consisting of 1-diode 1-resistor (1D1R) structures
The realization of logic operations within passive crossbar memory arrays is a promising approach to...
AbstractA boolean circuit represents an n by n(0,1)-matrix A if it correctly computes the linear tra...
Since the fabrication of nanoscale memristors by HP Labs in 2008, there has been a sustained interes...
Boolean matrix multiplication (BMM) is a fundamental problem with applications in graph theory, grou...
We are quickly reaching an impasse to the number of transistors that can be squeezed onto a single c...
With Moore\u27s law approaching physical limitations of transistor size, researchers have started ex...
The rise of data-intensive computational loads has exposed the processor-memory bottleneck in Von Ne...
Recently, the most computer and digital systems are built based on the parallelism to increase their...
The recent emerging memristor can provide non-volatile memory storage but also intrinsic computing f...
The continued scaling of the CMOS device has been largely responsible for the increase in computatio...
In standard computing architectures, memory and logic circuits are separated, a feature that slows m...
Crossbars of nanoscale memristors are being fabricated to serve as high-density non-volatile memory ...
There has been a surge of interest in the effective storage and computation of data using nanoscale ...
This paper introduces a 3D-stacked logic-in-memory (LiM) system to accelerate the processing of spar...
One of the most important constraints of today’s architectures for data-intensive applications is th...
The realization of logic operations within passive crossbar memory arrays is a promising approach to...
AbstractA boolean circuit represents an n by n(0,1)-matrix A if it correctly computes the linear tra...
Since the fabrication of nanoscale memristors by HP Labs in 2008, there has been a sustained interes...
Boolean matrix multiplication (BMM) is a fundamental problem with applications in graph theory, grou...
We are quickly reaching an impasse to the number of transistors that can be squeezed onto a single c...
With Moore\u27s law approaching physical limitations of transistor size, researchers have started ex...
The rise of data-intensive computational loads has exposed the processor-memory bottleneck in Von Ne...
Recently, the most computer and digital systems are built based on the parallelism to increase their...
The recent emerging memristor can provide non-volatile memory storage but also intrinsic computing f...
The continued scaling of the CMOS device has been largely responsible for the increase in computatio...
In standard computing architectures, memory and logic circuits are separated, a feature that slows m...
Crossbars of nanoscale memristors are being fabricated to serve as high-density non-volatile memory ...
There has been a surge of interest in the effective storage and computation of data using nanoscale ...
This paper introduces a 3D-stacked logic-in-memory (LiM) system to accelerate the processing of spar...
One of the most important constraints of today’s architectures for data-intensive applications is th...
The realization of logic operations within passive crossbar memory arrays is a promising approach to...
AbstractA boolean circuit represents an n by n(0,1)-matrix A if it correctly computes the linear tra...
Since the fabrication of nanoscale memristors by HP Labs in 2008, there has been a sustained interes...