Finally, the first experimental demonstration of two computational models in memristor TCAM arrays is reported: regular expression matching in a finite state machine for network security intrusion detection and definable inexact pattern matching in a Levenshtein automata for genomic sequencing....
Crossbar arrays of non-volatile memory technologies e.g., Floating Gates9, Resistive Random Access Memory (RRAM)10,11,12,13,14,15, and Phase Change Memory (PCM)16,17,18,19have been previously proposed as a means for realizing artificial neural networks on hardware (Fig.1d). These computi...
2023年11月28日—高效能低功耗32/64位RISC-V处理器核心领导供货商暨RISC-V国际协会创始首席会员Andes晶心科技(TWSE: 6533)与模拟忆阻器(analog memristor)技术和内存运算(in-memory computing)方面的先驱—TetraMem,宣布建立战略合作伙伴关系,旨在提供快速、高效的人工智能推理芯片,这将彻底改变人工智能和边缘运算的格局。
In-memory computing (IMC) refers to non-von Neumann architectures where data are processed in situ within the memory by taking advantage of physical laws. Among the memory devices that have been considered for IMC, the resistive switching memory (RRAM), also known as memristor, is one of the...
A compute-in-memory chip based on resistive random-access memory Article Open access 17 August 2022 Heterogeneous integration of 2D memristor arrays and silicon selectors for compute-in-memory hardware in convolutional neural networks Article Open access 19 March 2025 A full-stack memristor-based...
memory itself. In this article, we review the emerging nonvolatile memory devices, such as resistance-based and charge-based memory devices, that are explored for in-memory computing applications. We will provide an overview of the materials, mechanisms, and integration of these devices, and ...
results from moving vast amounts of data back and forth between memory and processor in a classic computer. The researchers accelerate operations by performing matrix vector multiplication, the mathematical operation behind the gradient-computation step, by using crossbar arrays of specialized memristor ...
in space, with a processing speed reaching 1000 frames per second (fps). Apart from circuit designs, technologies involving novel material systems and advanced devices have recently been adopted. The memristor array enables parallel in-memory computing on the output from the photoelectric sensor array...
Resistive-based in-memory-computing memories use the emerging memories for the in-memory computing. They take advantage of the characteristic of resistance of emerging memory devices for arithmetic operations. In [7], [12], crossbar and 1T1R memristor-based memories were designed for the neural ne...
Scale-up strategies include build- ing larger arrays and/or operating several of them in parallel. To address problems with a broader range of condition num- bers, it will be necessary to increase the precision of the com- putational memory unit beyond that achieved in the present work to ...