Results 181 to 190 of about 931,340 (223)

Computing-in-memory with spintronics

2018 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2018
In-memory computing is a promising approach to alleviating the processor-memory data transfer bottleneck in computing systems. While spintronics has attracted great interest as a non-volatile memory technology, recent work has shown that its unique properties can also enable in-memory computing.
Shubham Jain, Sachin Sapatnekar, Jian-Ping Wang, Kaushik Roy, Anand Raghunathan   +4 more
openaire   +1 more source

Parallel computation in memory-making

Science, 2017
Memory Processing The hippocampus plays a central role in the encoding, consolidation, and recall of memories. Consolidation and recall are thought to be executed by the replay of previously acquired memory traces by hippocampal cell assemblies.
openaire   +2 more sources

Approximate Memristive In-memory Computing

ACM Transactions on Embedded Computing Systems, 2017
The bottleneck between the processing elements and memory is the biggest issue contributing to the scalability problem in computing. In-memory computation is an alternative approach that combines memory and processor in the same location, and eliminates the potential memory bottlenecks.
Hasan Erdem Yantir, Ahmed M. Eltawil, Fadi J. Kurdahi   +2 more
openaire   +1 more source

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   +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 Reis, Michael Niemier, X. Sharon Hu   +2 more
openaire   +1 more source

In-memory computing with ferroelectrics

Nature Electronics, 2020
Non-linear ferroelectric tunnel junctions could be used to create low-power in-memory computing systems.
openaire   +1 more source

Hyperspectral In-Memory Computing

Optical Fiber Communication Conference (OFC) 2024
We propose and demonstrate hyperspectral in-memory computing systems that harness both frequency and space dimensions, utilizing optical frequency combs and programmable optical memories. This approach offers the potential for energy-efficient optical information processing beyond PetaOPS-level performance.
Mostafa Honari Latifpour, Byoung Jun Park, Yoshihisa Yamamoto, Myoung-Gyun Suh   +3 more
openaire   +1 more source

In-Memory Computing: The Next-Generation AI Computing Paradigm

Proceedings of the 2020 on Great Lakes Symposium on VLSI, 2020
To overcome the memory bottleneck of von-Neuman architecture, various memory-centric computing techniques are emerging to reduce the latency and energy consumption caused by data communication. The great success of artificial intelligence (AI) algorithms, which involve a large number of computations and data movements, has motivated and accelerated the
Yufei Ma, Yuan Du, Li Du, Jun Lin, Zhongfeng Wang   +4 more
openaire   +1 more source

In-Memory-Computing

2023
Saeideh Shirinzadeh, Rolf Drechsler
openaire   +1 more source

In-Memory Computing

2020
Saeideh Shirinzadeh, Rolf Drechsler
openaire   +1 more source