51. Memristive Logic-in-Memory Implementations: A Comparison
- Author
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Inglese, Pietro, Vatajelu, Elena Ioana, Di Natale, Giorgio, BEN TITO, Laurence, VDE, Architectures and Methods for Resilient Systems (AMfoRS ), Techniques de l'Informatique et de la Microélectronique pour l'Architecture des systèmes intégrés (TIMA), Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), and Université Grenoble Alpes (UGA)
- Subjects
Hardware_MEMORYSTRUCTURES ,PACS 85.42 ,[SPI.NANO] Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics ,[SPI.NANO]Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics - Abstract
International audience; The technology evolution addresses the demand for faster computers. Despite the achieved speed-up in terms of memory and computation performances, the communication between the memories and the processor remains a bottleneck of today’s computers. The Computation in Memory (CiM) paradigm aims at solving this problem by moving the computation directly inside the memory, eliminating thus the need for data transfer between memory and processor. Among the available CiM implementations, this study focuses on the Logic-in-Memory (LiM) solutions, i.e., digital operations to accelerate Boolean Logic. This work provides a comparison among the most prominent LiM solutions in terms of required memory resources (i.e., number of memristors) and number of operations.
- Published
- 2021