Results 241 to 250 of about 115,019,574 (294)

Bulk‐Like Spin Cycloid and Fast Switching in Freestanding BiFeO3

Advanced Functional Materials, EarlyView.
Freestanding BiFeO3 membranes overcome substrate‐induced constraints by simultaneously restoring the intrinsic bulk‐like spin cycloid and enabling ≈50% faster ferroelectric switching than substrate‐clamped epitaxial thin films. This combination of robust noncollinear antiferromagnetic order and efficient electric‐field switching establishes ...
Pratap Pal, Xiaoxi Deng, Gi‐Yeop Kim, Kyoungjun Lee, Jheng‐Cyuan Lin, Prithwijit Mandal, Jiangfeng Yang, Paul Steadman, Pascal Manuel, Roger D. Johnson, Si‐Young Choi, Paolo G. Radaelli, Chang‐Beom Eom   +12 more
wiley   +1 more source

Memory and consciousness [PDF]

, 2011
O'Connor, Akira Robert, Moulin, Chris, Cohen, Gillian   +2 more
core  

Powering AI at the edge: A robust, memristor-based binarized neural network with near-memory computing and miniaturized solar cell. [PDF]

Nat Commun
Jebali F, Majumdar A, Turck C, Harabi KE, Faye MC, Muhr E, Walder JP, Bilousov O, Michaud A, Vianello E, Hirtzlin T, Andrieu F, Bocquet M, Collin S, Querlioz D, Portal JM.   +15 more
europepmc   +1 more source

An SRAM-based fully-integrated analog closed-loop in-memory computing accelerator

Mannocci P, Zucchelli C, Andreoli I, Pezzoli A, Melacarne E, Pedretti G, Sancandi F, Villa C, Sun Z, Spagnolini U, Ielmini D.   +10 more
europepmc   +1 more source

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Scalable In-Memory Computing

2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, 2015
Data-intensive scientific workflows are composed of many tasks that exhibit data precedence constraints leading to communication schemes expressed by means of intermediate files. In such scenarios, the storage layer is often a bottleneck, limiting overall application scalability, due to large volumes of data being generated during runtime at high I/O ...
Alexandru Uta, Andreea Sandu, Stefania Costache 0002, Thilo Kielmann   +3 more
openaire   +2 more sources

Spintronic Memories: From Memory to Computing-in-Memory

2019 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH), 2019
Spintronic memory has been considered as one of the most promising nonvolatile memory candidates to address the leakage power consumption in the post-Moore’s era. To date, the spintronic magnetic random access memory (MRAM) family has mainly evolved in four-generation technology advancement, from toggle-MRAM (product in 2006), to STT-MRAM (product in ...
Wang Kang 0001, He Zhang 0011, Weisheng Zhao 0001   +2 more
openaire   +1 more source

Computing in memory with FeFETs

Proceedings of the International Symposium on Low Power Electronics and Design, 2018
Data transfer between a processor and memory frequently represents a bottleneck with respect to improving application-level performance. Computing in memory (CiM), where logic and arithmetic operations are performed in memory, could significantly reduce both energy consumption and computational overheads associated with data transfer.
Dayane Alfenas Reis, Michael T. Niemier, Xiaobo Sharon Hu   +2 more
openaire   +2 more sources

Computing In-Memory, Revisited

2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS), 2018
The Von Neumann's architecture has been the dominant computing paradigm ever since its inception in the mid-forties. It revolves around the concept of a "stored program" in memory, and a central processing unit that executes the program. As an alternative, Processing-In-Memory (PIM) ideas have been around for at least two decades, however with very ...
Dejan S. Milojicic, Kirk Bresniker, Gary Campbell, Paolo Faraboschi, John Paul Strachan, Stan Williams   +5 more
openaire   +1 more source

Computational principles of memory

Nature Neuroscience, 2016
The ability to store and later use information is essential for a variety of adaptive behaviors, including integration, learning, generalization, prediction and inference. In this Review, we survey theoretical principles that can allow the brain to construct persistent states for memory.
Rishidev, Chaudhuri, Ila, Fiete
openaire   +2 more sources

A Logic-in-Memory Computer

IEEE Transactions on Computers, 1970
If, as presently projected, the cost of microelectronic arrays in the future will tend to reflect the number of pins on the array rather than the number of gates, the logic-in-memory array is an extremely attractive computer component. Such an array is essentially a microelectronic memory with some combinational logic associated with each storage ...
openaire   +2 more sources