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Garzon et al., 2022 - Google Patents

AIDA: Associative in-memory deep learning accelerator

Garzon et al., 2022

Document ID
6970087627412817552
Author
Garzon E
Teman A
Lanuzza M
Yavits L
Publication year
Publication venue
IEEE Micro

External Links

Snippet

This work presents an associative in-memory deep learning processor (AIDA) for edge devices. An associative processor is a massively parallel non-von Neumann accelerator that uses memory cells for computing; the bulk of data is never transferred outside the memory …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • G11C11/40—Digital stores characterised by the use of particular electric or magnetic storage elements; Storage elements therefor using electric elements using semiconductor devices using transistors
    • G11C11/41—Digital stores characterised by the use of particular electric or magnetic storage elements; Storage elements therefor using electric elements using semiconductor devices using transistors forming static cells with positive feedback, i.e. cells not needing refreshing or charge regeneration, e.g. bistable multivibrator or Schmitt trigger
    • G11C11/412—Digital stores characterised by the use of particular electric or magnetic storage elements; Storage elements therefor using electric elements using semiconductor devices using transistors forming static cells with positive feedback, i.e. cells not needing refreshing or charge regeneration, e.g. bistable multivibrator or Schmitt trigger using field-effect transistors only
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