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dc.contributor.author
Castañeda Fernández, Oscar
dc.contributor.author
Bobbett, Maria
dc.contributor.author
Gallyas-Sanhueza, Alexandra
dc.contributor.author
Studer, Christoph
dc.date.accessioned
2020-11-02T07:56:19Z
dc.date.available
2020-10-30T17:44:18Z
dc.date.available
2020-11-02T07:56:19Z
dc.date.issued
2019-07
dc.identifier.isbn
978-1-7281-1601-3
en_US
dc.identifier.isbn
978-1-7281-1602-0
en_US
dc.identifier.other
10.1109/asap.2019.000-9
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/448934
dc.identifier.doi
10.3929/ethz-b-000448934
dc.description.abstract
Processing in memory (PIM) moves computation into memories with the goal of improving throughput and energy-efficiency compared to traditional von Neumann-based architectures. Most existing PIM architectures are either general-purpose but only support atomistic operations, or are specialized to accelerate a single task. We propose the Parallel Processor in Associative Content-addressable memory (PPAC), a novel in-memory accelerator that supports a range of matrix-vector-product (MVP)-like operations that find use in traditional and emerging applications. PPAC is, for example, able to accelerate low-precision neural networks, exact/approximate hash lookups, cryptography, and forward error correction. The fully-digital nature of PPAC enables its implementation with standard-cell-based CMOS, which facilitates automated design and portability among technology nodes. To demonstrate the efficacy of PPAC, we provide post-layout implementation results in 28nm CMOS for different array sizes. A comparison with recent digital and mixed-signal PIM accelerators reveals that PPAC is competitive in terms of throughput and energy-efficiency, while accelerating a wide range of applications and simplifying development.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
IEEE
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.title
PPAC: A Versatile In-Memory Accelerator for Matrix-Vector-Product-Like Operations
en_US
dc.type
Conference Paper
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2019-09-05
ethz.book.title
2019 IEEE 30th International Conference on Application-specific Systems, Architectures and Processors (ASAP)
en_US
ethz.pages.start
149
en_US
ethz.pages.end
156
en_US
ethz.size
8 p. accepted version
en_US
ethz.version.deposit
acceptedVersion
en_US
ethz.event
IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP 2019)
en_US
ethz.event.location
New York, NY, USA
en_US
ethz.event.date
July 15-17, 2019
en_US
ethz.publication.place
Piscataway, NJ
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02636 - Institut für Integrierte Systeme / Integrated Systems Laboratory::09695 - Studer, Christoph / Studer, Christoph
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02636 - Institut für Integrierte Systeme / Integrated Systems Laboratory::09695 - Studer, Christoph / Studer, Christoph
en_US
ethz.date.deposited
2020-10-30T17:44:40Z
ethz.source
FORM
ethz.eth
no
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2020-11-02T07:56:28Z
ethz.rosetta.lastUpdated
2022-03-29T03:52:12Z
ethz.rosetta.versionExported
true
ethz.COinS
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