AM4: MRAM Crossbar Based CAM/TCAM/ACAM/AP for In-Memory Computing

Esteban Garzon; Marco Lanuzza; Adam Teman; Leonid Yavits

doi:10.1109/JETCAS.2023.3243222

AM⁴: MRAM Crossbar Based CAM/TCAM/ACAM/AP for In-Memory Computing

Esteban Garzon, Marco Lanuzza, Adam Teman, Leonid Yavits

University of Calabria

Research output: Contribution to journal › Article › peer-review

45 Scopus citations

Abstract

In-memory computing seeks to minimize data movement and alleviate the memory wall by computing in-situ, in the same place that the data is located. One of the key emerging technologies that promises to enable such computing-in-memory is spin-transfer torque magnetic tunnel junction (STT-MTJ). This paper proposes AM4, a combined STT-MTJ-based Content Addressable Memory (CAM), Ternary CAM (TCAM), approximate matching (similarity search) CAM (ACAM), and in-memory Associative Processor (AP) design, inspired by the recently announced Samsung MRAM crossbar. We demonstrate and evaluate the performance and energy-efficiency of the AM4-based AP using a variety of data intensive workloads. We show that an AM4-based AP outperforms state-of-the-art solutions both in performance (with the average speedup of about 10 ×) and energy-efficiency (by about 60 × on average).

Original language	English
Pages (from-to)	408-421
Number of pages	14
Journal	IEEE Journal on Emerging and Selected Topics in Circuits and Systems
Volume	13
Issue number	1
DOIs	https://doi.org/10.1109/JETCAS.2023.3243222
State	Published - 1 Mar 2023

Bibliographical note

Publisher Copyright:
© 2011 IEEE.

Keywords

CAM
MRAM
MTJ
Non-von Neumann computer architecture
TCAM
associative memories
associative processor
double-barrier MTJ
emerging memories

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/JETCAS.2023.3243222

Cite this

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title = "AM4: MRAM Crossbar Based CAM/TCAM/ACAM/AP for In-Memory Computing",

abstract = "In-memory computing seeks to minimize data movement and alleviate the memory wall by computing in-situ, in the same place that the data is located. One of the key emerging technologies that promises to enable such computing-in-memory is spin-transfer torque magnetic tunnel junction (STT-MTJ). This paper proposes AM4, a combined STT-MTJ-based Content Addressable Memory (CAM), Ternary CAM (TCAM), approximate matching (similarity search) CAM (ACAM), and in-memory Associative Processor (AP) design, inspired by the recently announced Samsung MRAM crossbar. We demonstrate and evaluate the performance and energy-efficiency of the AM4-based AP using a variety of data intensive workloads. We show that an AM4-based AP outperforms state-of-the-art solutions both in performance (with the average speedup of about 10 ×) and energy-efficiency (by about 60 × on average).",

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author = "Esteban Garzon and Marco Lanuzza and Adam Teman and Leonid Yavits",

note = "Publisher Copyright: {\textcopyright} 2011 IEEE.",

year = "2023",

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AB - In-memory computing seeks to minimize data movement and alleviate the memory wall by computing in-situ, in the same place that the data is located. One of the key emerging technologies that promises to enable such computing-in-memory is spin-transfer torque magnetic tunnel junction (STT-MTJ). This paper proposes AM4, a combined STT-MTJ-based Content Addressable Memory (CAM), Ternary CAM (TCAM), approximate matching (similarity search) CAM (ACAM), and in-memory Associative Processor (AP) design, inspired by the recently announced Samsung MRAM crossbar. We demonstrate and evaluate the performance and energy-efficiency of the AM4-based AP using a variety of data intensive workloads. We show that an AM4-based AP outperforms state-of-the-art solutions both in performance (with the average speedup of about 10 ×) and energy-efficiency (by about 60 × on average).

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AM⁴: MRAM Crossbar Based CAM/TCAM/ACAM/AP for In-Memory Computing

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Bibliographical note

Keywords

UN SDGs

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AM4: MRAM Crossbar Based CAM/TCAM/ACAM/AP for In-Memory Computing

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Bibliographical note

Keywords

UN SDGs

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AM⁴: MRAM Crossbar Based CAM/TCAM/ACAM/AP for In-Memory Computing