Memristive crossbar arrays can be used to realize matrix-vector multiplication (MVM) operations in constant time complexity by exploiting the Kirchhoff's circuit laws. This is enabled by the parallel read of the entire array in a single time step. However, parallel writing is prohibitive in such arrays due to limitations on the current that could be accumulated along the wires. Hence, loading the matrix elements into such an array still incurs significant time penalty. Another key challenge is the achievable computational precision. To overcome these challenges, we propose a unit-cell array design where each unit-cell comprises four memristive devices each attached to a selection transistor. Moreover, the array is organized in such a way th...
The use of memristors and resistive random access memory (ReRAM) technology to perform logic computa...
Modern neuromorphic deep learning techniques, as well as unsupervised techniques like the locally co...
How to improve the storage density and solve the sneak path current problem has become the key to th...
Memristive crossbar arrays can be used to realize () operations in constant time complexity by explo...
One of the most important constraints of today’s architectures for data-intensive applications is th...
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...
The recent emerging memristor can provide non-volatile memory storage but also intrinsic computing f...
Von Neumann-based architectures suffer from costly communication between CPU and memory. This commun...
It's been quite a while since scientists are seeking for the ancestor of von Neumann computing archi...
With Moore\u27s law approaching physical limitations of transistor size, researchers have started ex...
A 3D architecture made up of a CMOS layer combined with a 3D stack of bipolar memristor crossbar arr...
The growing disparity between processor and memory performance poses significant limits on system pe...
Conventional digital computers can execute advanced operations by a sequence of elementary Boolean f...
Low operating voltage, high storage density, non-volatile storage capabilities, and relative low acc...
The use of memristors and resistive random access memory (ReRAM) technology to perform logic computa...
Modern neuromorphic deep learning techniques, as well as unsupervised techniques like the locally co...
How to improve the storage density and solve the sneak path current problem has become the key to th...
Memristive crossbar arrays can be used to realize () operations in constant time complexity by explo...
One of the most important constraints of today’s architectures for data-intensive applications is th...
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...
The recent emerging memristor can provide non-volatile memory storage but also intrinsic computing f...
Von Neumann-based architectures suffer from costly communication between CPU and memory. This commun...
It's been quite a while since scientists are seeking for the ancestor of von Neumann computing archi...
With Moore\u27s law approaching physical limitations of transistor size, researchers have started ex...
A 3D architecture made up of a CMOS layer combined with a 3D stack of bipolar memristor crossbar arr...
The growing disparity between processor and memory performance poses significant limits on system pe...
Conventional digital computers can execute advanced operations by a sequence of elementary Boolean f...
Low operating voltage, high storage density, non-volatile storage capabilities, and relative low acc...
The use of memristors and resistive random access memory (ReRAM) technology to perform logic computa...
Modern neuromorphic deep learning techniques, as well as unsupervised techniques like the locally co...
How to improve the storage density and solve the sneak path current problem has become the key to th...