Cargando…

A compute-in-memory chip based on resistive random-access memory

Realizing increasingly complex artificial intelligence (AI) functionalities directly on edge devices calls for unprecedented energy efficiency of edge hardware. Compute-in-memory (CIM) based on resistive random-access memory (RRAM)(1) promises to meet such demand by storing AI model weights in dense...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wan, Weier, Kubendran, Rajkumar, Schaefer, Clemens, Eryilmaz, Sukru Burc, Zhang, Wenqiang, Wu, Dabin, Deiss, Stephen, Raina, Priyanka, Qian, He, Gao, Bin, Joshi, Siddharth, Wu, Huaqiang, Wong, H.-S. Philip, Cauwenberghs, Gert
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9385482/ https://www.ncbi.nlm.nih.gov/pubmed/35978128 http://dx.doi.org/10.1038/s41586-022-04992-8

Ejemplares similares

Memory-Efficient Synaptic Connectivity for Spike-Timing- Dependent Plasticity
por: Pedroni, Bruno U., et al.
Publicado: (2019)

Analog Coding in Emerging Memory Systems
por: Zarcone, Ryan V., et al.
Publicado: (2020)

Author Correction: Analog Coding in Emerging Memory Systems
por: Zarcone, Ryan V., et al.
Publicado: (2020)

Face classification using electronic synapses
por: Yao, Peng, et al.
Publicado: (2017)

Performance analysis of DNA crossbar arrays for high-density memory storage applications
por: De, Arpan, et al.
Publicado: (2023)

Impact of the global chip shortage on the development of in-memory chips
Publicado: (2022)

Hierarchical Network Connectivity and Partitioning for Reconfigurable Large-Scale Neuromorphic Systems
por: Mysore, Nishant, et al.
Publicado: (2022)

Unsupervised Learning on Resistive Memory Array Based Spiking Neural Networks
por: Guo, Yilong, et al.
Publicado: (2019)

An Associative Memory Chip for the Trigger System of the ATLAS Experiment
por: Shojaii, Seyed Ruhollah, et al.
Publicado: (2016)

Embedded memory design for multi-core and systems on chip
por: Mohammad, Baker
Publicado: (2014)

A chip-integrated coherent photonic-phononic memory
por: Merklein, Moritz, et al.
Publicado: (2017)

Persistent memory as an effective alternative to random access memory in metagenome assembly
por: Sun, Jingchao, et al.
Publicado: (2022)

Stochastic Synapses Enable Efficient Brain-Inspired Learning Machines
por: Neftci, Emre O., et al.
Publicado: (2016)

SEU tolerant memory design for the ATLAS pixel readout chip
por: Menouni, M, et al.
Publicado: (2013)

Ratio-based multi-level resistive memory cells
por: Lastras-Montaño, Miguel Angel, et al.
Publicado: (2021)

Study of Multi-level Characteristics for 3D Vertical Resistive Switching Memory
por: Bai, Yue, et al.
Publicado: (2014)

Introduction to magnetic random-access memory
por: Dieny, Bernard, et al.
Publicado: (2017)

Quantum Random Access Memory for Dummies
por: Phalak, Koustubh, et al.
Publicado: (2023)

Taxing Working Memory during Retrieval of Emotional Memories Does Not Reduce Memory Accessibility When Cued with Reminders
por: van Schie, Kevin, et al.
Publicado: (2015)

In-Memory Logic Operations and Neuromorphic Computing in Non-Volatile Random Access Memory
por: Ou, Qiao-Feng, et al.
Publicado: (2020)

Author Correction: A chip-integrated coherent photonic-phononic memory
por: Merklein, Moritz, et al.
Publicado: (2018)

On-Chip Photonic Synapses with All-Optical Memory and Neural Network Computation
por: Zhang, Lulu, et al.
Publicado: (2022)

Accessing forgotten memory traces from long-term memory via visual movements
por: Càmara, Estela, et al.
Publicado: (2014)

Experimental realization of a multiplexed quantum memory with 225 individually accessible memory cells
por: Pu, Y-F, et al.
Publicado: (2017)

Updates on the Low-Level Abstraction of Memory Access
por: Gruber, Bernhard Manfred
Publicado: (2023)

Ferroelectric random access memories: fundamentals and applications
por: Ishiwara, Hiroshi, et al.
Publicado: (2004)

LLAMA: The Low Level Abstraction For Memory Access
por: Gruber, Bernhard Manfred, et al.
Publicado: (2022)

Conductance Quantization in Resistive Random Access Memory
por: Li, Yang, et al.
Publicado: (2015)

Purely antiferromagnetic magnetoelectric random access memory
por: Kosub, Tobias, et al.
Publicado: (2017)

All Nonmetal Resistive Random Access Memory
por: Yen, Te Jui, et al.
Publicado: (2019)

“B” aware: Memory lane access is restricted!
por: Kennedy, Ruth, et al.
Publicado: (2020)

Optimizing BCPNN Learning Rule for Memory Access
por: Yang, Yu, et al.
Publicado: (2020)

Access to Procedural Memories After One Year: Evidence for Robust Memory Consolidation in Tourette Syndrome
por: Tóth-Fáber, Eszter, et al.
Publicado: (2021)

Hungarian Structural Focus: Accessibility to Focused Elements and Their Alternatives in Working Memory and Delayed Recognition Memory
por: Káldi, Tamás, et al.
Publicado: (2021)

Highly Reliable Memory Operation of High-Density Three-Terminal Thyristor Random Access Memory
por: Kim, Hyangwoo, et al.
Publicado: (2022)

Conductive Bridge Random Access Memory (CBRAM): Challenges and Opportunities for Memory and Neuromorphic Computing Applications
por: Abbas, Haider, et al.
Publicado: (2022)

Interacting Memory Systems—Does EEG Alpha Activity Respond to Semantic Long-Term Memory Access in a Working Memory Task?
por: Berger, Barbara, et al.
Publicado: (2014)

High-Performance On-Chip Racetrack Resonator Based on GSST-Slot for In-Memory Computing
por: Zhu, Honghui, et al.
Publicado: (2023)

Toward memristive in-memory computing: principles and applications
por: Bao, Han, et al.
Publicado: (2022)

Environment Enrichment Facilitates Long-Term Memory Consolidation through Behavioral Tagging
por: Kaushik, Medha, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_j6dqc0qmk6prsnss5evrasgbd8