Results 31 to 40 of about 241 (114)
An efficient read approach for memristive crossbar array
Resistive random access memories (ReRAM) have drawn attention of researchers due to their unique properties with applications in in-memory computing, which allows storage and computation in the same unit.
Pravanjan Samanta +3 more
doaj +1 more source
Ising-ReRAM: A Low Power Ising Machine ReRAM Crossbar for NP Problems
4 pages + 1 page reference, 4 figures, 2 tables, targeting IEEE conference (e.g. ISCAS)
Everest Bloomer +3 more
openaire +2 more sources
A compact Verilog-A ReRAM switching model
The translation of emerging application concepts that exploit Resistive Random Access Memory (ReRAM) into large-scale practical systems requires realistic, yet computationally efficient, empirical models that can capture all observed physical devices.
Ioannis Messaris +4 more
openaire +2 more sources
Update Disturbance‐Resilient Analog ReRAM Crossbar Arrays for In‐Memory Deep Learning Accelerators
Resistive memory (ReRAM) technologies with crossbar array architectures hold significant potential for analog AI accelerator hardware, enabling both in‐memory inference and training.
Wooseok Choi +16 more
doaj +1 more source
Determining the Electrical Charging Speed Limit of ReRAM Devices
Redox-based random-access memory (ReRAM) has the potential to successfully address the technological barriers that today’s memory technologies face. One of its promising features is its fast switching speed down to 50 ps.
M. von Witzleben +4 more
doaj +1 more source
This deliverable D6.1 reports on the progress of the website development, which has been setup in multiple languages to attain a maximum of different target audiences.
Kies, Uwe, Akhobadze, Sophiko
openaire +1 more source
Analysis of the Electrical ReRAM Device Degradation Induced by Thermal Cross‐Talk
A switching of resistive memory cells leads to a local accumulation of Joules heat in the device. In resistive RAM (ReRAM) arrays, the heat generated in one cell spreads via common electrode metal lines to the neighboring cells and may cause their ...
Mohammad Al‐Mamun +2 more
doaj +1 more source
Demonstration of transfer learning using 14 nm technology analog ReRAM array
Analog memory presents a promising solution in the face of the growing demand for energy-efficient artificial intelligence (AI) at the edge. In this study, we demonstrate efficient deep neural network transfer learning utilizing hardware and algorithm co-
Fabia Farlin Athena +45 more
doaj +1 more source
An Energy-Efficient Digital ReRAM-Crossbar-Based CNN With Bitwise Parallelism
There is great attention to develop hardware accelerator with better energy efficiency, as well as throughput, than GPUs for convolutional neural network (CNN). The existing solutions have relatively limited parallelism as well as large power consumption
Leibin Ni +3 more
doaj +1 more source
ReGra: Accelerating Graph Traversal Applications Using ReRAM With Lower Communication Cost
There is a growing gap between data explosion speed and the improvement of graph processing systems on conventional architectures. The main reason lies in the large overhead of random access and data movement, as well as the unbalanced and unordered ...
Haoqiang Liu +3 more
doaj +1 more source

