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Appukuttan et al., 2022 - Google Patents

In-Memory Computing Based Hardware Accelerator Module for Deep Neural Networks

Appukuttan et al., 2022

Document ID
3593421576002226439
Author
Appukuttan A
Thomas E
Nair H
KJ D
Azeez M
et al.
Publication year
Publication venue
2022 IEEE 19th India Council International Conference (INDICON)

External Links

Snippet

In recent years, AI/ML has been increasingly becoming a part of our daily lives and in the technology around us. With this increasing prevalence, they currently provide the most effective solutions to a wide range of image recognition, speech recognition, and natural …
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
    • G11C11/413—Auxiliary circuits, e.g. for addressing, decoding, driving, writing, sensing, timing, power reduction
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    • 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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    • G—PHYSICS
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    • G11C15/00—Digital stores in which information comprising one or more characteristic parts is written into the store and in which information is read-out by searching for one or more of these characteristic parts, i.e. associative or content-addressed stores
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