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Processing in memory: the tipping point
Petar Radojković, Paul Carpenter, Pouya Esmaili-Dokht, Rémy Cimadomo, Henri-Pierre Charles, Sebastian Abu, Paolo Amato

Processing in memory: the tipping point

Science & Mathematics Published 2021 Verification Pending

Overview & Synopsis

The tipping point for adoption of PIM is imminent for three main reasons: • Firstly, PIM avoids the von Neumann bottleneck, a fundamental limitation to the effective use of computing systems for a large range of important data-centric applications. • Secondly, it matches the community's requirement for efficient application acceleration by reducing the amount of expensive data transfers, and demonstrates orders of magnitude improvements in performance and energy. • Thirdly, PIM has reached a high technological readiness confirmed by various industrial prototypes and products. Wide acceptance of PIM, however, depends on our ability to create an ecosystem in which a number of PIM approaches can be designed and evaluated, leading to the selection of potential winners and adoption by system architects and end users.

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Document Information

Document Title Processing in memory: the tipping point
Author / Organization Petar Radojković, Paul Carpenter, Pouya Esmaili-Dokht, Rémy Cimadomo, Henri-Pierre Charles, Sebastian Abu, Paolo Amato
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2021
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-43133
Original Source Link Visit Source Page on hal.science »