Low-complexity Dual Voltage Level Circuitry For Voltage-Divider-Based Content-Addressable Memory (CAM) Based On Two Supply Voltages

Content addressable memories have raised great interest involving the realm of Big Data and Artificial Intelligence, along with the emerging non-volatile (eNV) technology magnetic tunnel junction (MTJ) devices capabilities, they are exploited for massive parallel search operations through (NV-CAMs). A voltage-divider-based NV-BCAM/TCAM has been previously proposed, showing promising characteristics and potential for reliable search operations. Nevertheless, the NV-BCAM relies on two voltage levels to perform write and search operations and does not take into account its periphery design. Hence, the proposed paper presents an NV-BCAM Dual Voltage Level Circuitry design, based on a full-custom methodology, that relies on a low-complexity Voltage-Mode Selector (VMS). Sizing analysis along with Monte Carlo simulations were performed for the designed periphery. In particular, the proposed dual voltage level circuitry will allow for the control of search and write operations in the NV-BCAM memory, delivering $V_{w r i t e}=V_{D D}$ and $V_{{search }}=0.6 {~V}$ through a single voltage supply $\left(V_{D D}=1.1 {~V}\right)$ and further reducing the top-level complexity design.

Authors

Institutions

Publication Details

Published
2024-10-15
DOI
https://doi.org/10.1109/etcm63562.2024.10746141
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Low-complexity Dual Voltage Level Circuitry For Voltage-Divider-Based Content-Addressable Memory (CAM) Based On Two Supply Voltages

Oliver Caisaluisa, Luis Miguel Prócel, Eduardo Holguín
Advanced Memory and Neural Computing
article

Low-complexity Dual Voltage Level Circuitry For Voltage-Divider-Based Content-Addressable Memory (CAM) Based On Two Supply Voltages

Oliver Caisaluisa, Luis Miguel Prócel, Eduardo Holguín
article en

Abstract

Content addressable memories have raised great interest involving the realm of Big Data and Artificial Intelligence, along with the emerging non-volatile (eNV) technology magnetic tunnel junction (MTJ) devices capabilities, they are exploited for massive parallel search operations through (NV-CAMs). A voltage-divider-based NV-BCAM/TCAM has been previously proposed, showing promising characteristics and potential for reliable search operations. Nevertheless, the NV-BCAM relies on two voltage levels to perform write and search operations and does not take into account its periphery design. Hence, the proposed paper presents an NV-BCAM Dual Voltage Level Circuitry design, based on a full-custom methodology, that relies on a low-complexity Voltage-Mode Selector (VMS). Sizing analysis along with Monte Carlo simulations were performed for the designed periphery. In particular, the proposed dual voltage level circuitry will allow for the control of search and write operations in the NV-BCAM memory, delivering $V_{w r i t e}=V_{D D}$ and $V_{{search }}=0.6 {~V}$ through a single voltage supply $\left(V_{D D}=1.1 {~V}\right)$ and further reducing the top-level complexity design.

Universidad San Francisco de Quito (EC)
Affordable and clean energy
Openalex Percentile: Top 82%
Advanced Memory and Neural Computing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Low-complexity Dual Voltage Level Circuitry For Voltage-Divider-Based Content-Addressable Memory (CAM) Based On Two Supply Voltages — Oliver Caisaluisa, Luis Miguel Prócel, et al. · (2024) | TGRS Research Map | TGRS