Get started
Keyword

in-memory computing

Description: In-memory computing is a computing architecture that performs data processing within or near memory to reduce data movement and improve efficiency.
Wikidata ID: wiki/Q6008583
OpenAlex ID: keywords/in-memory-computing
Memristive devices for computing
2012 · J. Joshua Yang, Dmitri B. Strukov, et al. · Nature Nanotechnology · 3,880
Resilient distributed datasets: a fault-tolerant abstraction for in-memory cluster computing
2012 · Matei Zaharia, Mosharaf Chowdhury, et al. · 3,622
In-memory computing with resistive switching devices
2018 · Daniele Ielmini, H.-S. Philip Wong · Nature Electronics · 2,285
PDF
Memory devices and applications for in-memory computing
2020 · Abu Sebastian, Manuel Le Gallo, et al. · Nature Nanotechnology · 2,271
The future of electronics based on memristive systems
2017 · Mohammed A. Zidan, John Paul Strachan, et al. · Nature Electronics · 2,133
Parallel convolutional processing using an integrated photonic tensor core
2021 · J. Feldmann, N. Youngblood, et al. · Nature · 1,888
PDF
Memristive crossbar arrays for brain-inspired computing
2019 · Qiangfei Xia, J. Joshua Yang · Nature Materials · 1,788
SLIM: Simultaneous Logic-in-Memory Computing Exploiting Bilayer Analog OxRAM Devices
2020 · Sandeep Kaur Kingra, Vivek Parmar, et al. · Scientific Reports · 1,445
PDF
PRIME
2016 · Ping Chi, Shuangchen Li, et al. · ACM SIGARCH Computer Architecture News · 1,231
Resistive switching materials for information processing
2020 · Zhongrui Wang, Huaqiang Wu, et al. · Nature Reviews Materials · 1,212
Two-dimensional materials for next-generation computing technologies
2020 · Chunsen Liu, Huawei Chen, et al. · Nature Nanotechnology · 1,047
The future of ferroelectric field-effect transistor technology
2020 · Asif Islam Khan, Ali Keshavarzi, et al. · Nature Electronics · 956
A compute-in-memory chip based on resistive random-access memory
2022 · Weier Wan, Rajkumar Kubendran, et al. · Nature · 926
PDF
Three-dimensional integration of nanotechnologies for computing and data storage on a single chip
2017 · Max M. Shulaker, Gage Hills, et al. · Nature · 864
MAGIC—Memristor-Aided Logic
2014 · Shahar Kvatinsky, Dmitry Belousov, et al. · IEEE Transactions on Circuits & Systems II Express Briefs · 852
PipeLayer: A Pipelined ReRAM-Based Accelerator for Deep Learning
2017 · Linghao Song, Xuehai Qian, et al. · Proceedings - International Symposium on High-Performance Computer Architecture/Proceedings · 841
A scalable processing-in-memory accelerator for parallel graph processing
2015 · Junwhan Ahn, Sungpack Hong, et al. · Proceedings - International Symposium on Computer Architecture/Proceedings · 768
A fully integrated reprogrammable memristor–CMOS system for efficient multiply–accumulate operations
2019 · Fuxi Cai, Justin M. Correll, et al. · Nature Electronics · 727
Memristive technologies for data storage, computation, encryption, and radio-frequency communication
2022 · Mario Lanza, Abu Sebastian, et al. · Science · 710
PDF
A crossbar array of magnetoresistive memory devices for in-memory computing
2022 · Seungchul Jung, Hyungwoo Lee, et al. · Nature · 640
PRIME: A Novel Processing-in-Memory Architecture for Neural Network Computation in ReRAM-Based Main Memory
2016 · Ping Chi, Shuangchen Li, et al. · ACM/IEEE International Symposium on Computer Architecture (ISCA) · 604
In-Memory Computation of a Machine-Learning Classifier in a Standard 6T SRAM Array
2017 · Jintao Zhang, Zhuo Wang, et al. · IEEE Journal of Solid-State Circuits · 532
Hardware implementation of memristor-based artificial neural networks
2024 · Fernando Aguirre, Abu Sebastian, et al. · Nature Communications · 502
PDF
Acceleration of Deep Neural Network Training with Resistive Cross-Point Devices: Design Considerations
2016 · Tayfun Gokmen, Yurii Vlasov · Frontiers in Neuroscience · 489
PDF
Accurate deep neural network inference using computational phase-change memory
2020 · Vinay Joshi, Manuel Le Gallo, et al. · Nature Communications · 486
PDF
Works count: 11,760
Citation count: 176,400
Year
Topic
Type