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Emerging 2D Ferroelectric Devices for In‐Sensor and In‐Memory Computing [PDF]
Advanced MaterialsJianbin Xu, Lei Tong, Yaoqiang Zhou
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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 +3 more
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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 +3 more
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Spintronic Memories: From Memory to Computing-in-Memory
2019 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH), 2019Spintronic 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 +2 more
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Recent Advances in In-Memory Computing: Exploring Memristor and Memtransistor Arrays with 2D Materials [PDF]
Nano-Micro LettersHangbo Zhou +2 more
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Computing in memory with FeFETs
Proceedings of the International Symposium on Low Power Electronics and Design, 2018Data 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 +2 more
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Computational principles of memory
Nature Neuroscience, 2016The 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
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Computing-in-memory with spintronics
2018 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2018In-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 +4 more
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Computing In-Memory, Revisited
2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS), 2018The 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 +5 more
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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 ...
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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 ...
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Hyperspectral In-Memory Computing
Optical Fiber Communication Conference (OFC) 2024We 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 +3 more
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