Results 81 to 90 of about 931,340 (223)

Impact of analog memory device failure on in-memory computing inference accuracy [PDF]

, 2023
Ning Li, Hsinyu Tsai, Vijay Narayanan, Malte J. Rasch   +3 more
openalex   +1 more source

Step-like dependence of memory function on pulse width in spintronics reservoir computing [PDF]

, 2020
Terufumi Yamaguchi, Nozomi Akashi, Kohei Nakajima, Hitoshi Kubota, Sumito Tsunegi, Tomohiro Taniguchi   +5 more
openalex   +1 more source

Ferroelectric Hf0.5Zr0.5O2 for Analog Memory and In‐Memory Computing Applications Down to Deep Cryogenic Temperatures

Advanced Electronic Materials
Low‐power nonvolatile memories operating down to deep cryogenic temperatures are important for a large spectrum of applications from high‐performance computing, electronics interfacing quantum computing hardware to space‐based electronics.
Heorhii Bohuslavskyi, Kestutis Grigoras, Mário Ribeiro, Mika Prunnila, Sayani Majumdar   +4 more
doaj   +1 more source

A Survey on the Expanding Scope and Interdisciplinary Opportunities for Processing-in-Memory Techniques

IEEE Access
Processing-in-Memory (PIM) is emerging as a practical path to overcome the limitations of traditional von Neumann architectures. At its core, PIM systems implement computing primitives such as logic operations and multiply-accumulate acceleration through
Kazi Asifuzzaman, Yuan He, Tianyun Zhang, Eric Tang, Narasinga Rao Miniskar, Keita Teranishi, Jeffrey S. Vetter   +6 more
doaj   +1 more source

Loss tolerant linear optical quantum memory by measurement-based quantum computing [PDF]

, 2007
Michael Varnava, Dan E. Browne, Terry Rudolph   +2 more
openalex   +1 more source

Crossbar-Constrained Technology Mapping for ReRAM Based In-Memory Computing [PDF]

, 2020
Debjyoti Bhattacharjee, Yaswanth Tavva, Arvind Easwaran, Anupam Chattopadhyay   +3 more
openalex   +1 more source

A Novel Ultra-Low Power 8T SRAM-Based Compute-in-Memory Design for Binary Neural Networks [PDF]

, 2021
Youngbae Kim, Shuai Li, Nandakishor Yadav, Kyuwon Ken Choi   +3 more
openalex   +1 more source

Characterization of Memory Devices for Energy Efficient Analog In-Memory Neural Computing at the Edge.

, 2022
Matthew Marinella, T. Patrick Xiao, Christopher R. Bennett, William Wahby, Robin Jacobs-Gedrim, David Russell Hughart, Elliot J. Fuller, A. Alec Talin, Sapan Agarwal   +8 more
openalex   +2 more sources

Introduction to Compute-in-Memory [PDF]

2019 IEEE Custom Integrated Circuits Conference (CICC), 2019
Laura Fick, Dave Fick
openaire   +1 more source

Soft Memory Box: A Virtual Shared Memory Framework for Fast Deep Neural Network Training in Distributed High Performance Computing

, 2018
Shinyoung Ahn, Joongheon Kim, Eunji Lim, Sungwon Kang   +3 more
openalex   +1 more source