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  1. 原著論文

Process Variation Aware Analysis of SRAM SEU Cross Sections Using Data Retention Voltage

https://repo.qst.go.jp/records/77672
https://repo.qst.go.jp/records/77672
93cfa4a3-50e9-40b9-9979-724c95dbb7d2
Item type 学術雑誌論文 / Journal Article(1)
公開日 2019-11-28
タイトル
タイトル Process Variation Aware Analysis of SRAM SEU Cross Sections Using Data Retention Voltage
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ journal article
アクセス権
アクセス権 metadata only access
アクセス権URI http://purl.org/coar/access_right/c_14cb
著者 Kobayashi, Daisuke

× Kobayashi, Daisuke

WEKO 998676

Kobayashi, Daisuke

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Hayashi, Naoki

× Hayashi, Naoki

WEKO 998677

Hayashi, Naoki

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Hirose, Kazuyuki

× Hirose, Kazuyuki

WEKO 998678

Hirose, Kazuyuki

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Kakehashi, Yuya

× Kakehashi, Yuya

WEKO 998679

Kakehashi, Yuya

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Kawasaki, Osamu

× Kawasaki, Osamu

WEKO 998680

Kawasaki, Osamu

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Makino, Takahiro

× Makino, Takahiro

WEKO 998681

Makino, Takahiro

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Ohshima, Takeshi

× Ohshima, Takeshi

WEKO 998682

Ohshima, Takeshi

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people, Others,many

× people, Others,many

WEKO 998683

people, Others,many

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Takahiro, Makino

× Takahiro, Makino

WEKO 998684

en Takahiro, Makino

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Takeshi, Ohshima

× Takeshi, Ohshima

WEKO 998685

en Takeshi, Ohshima

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抄録
内容記述タイプ Abstract
内容記述 Static random access memory (SRAM) is one the most sensitive devices to radiation. It may often exhibit undesired reversals of memory bits, called single-event upsets or soft errors. Sensitivity to such undesired events is widely quantified with the parameter of cross sections, which varies from cell to cell due to process variations. Many efforts have been made to quantify such variations, most commonly using simulations that often become a hurdle especially for commercial-off-the-shelf SRAMs. In this regard, an analysis method is proposed to extract such variations easily from radiation test data. It relies on the data retention voltage, which is an electrical parameter associated with the static noise margin. This voltage can be measured on a desk without special circuits. The validity of the proposed method is experimentally demonstrated using SRAM fabricated in a 65-nm silicon-on-insulator technology, which was exposed to various high-energy heavy ions simulating the effects of galactic and terrestrial cosmic rays. Theoretical discussion provides further evidence, while revealing an interesting relationship between the data retention voltage and power supply voltage. This relationship suggests power-supply voltage tuning to deal with chip-to-chip variations in cross sections and also with similar variations caused by total-dose effects and aging effects such as negative bias temperature instability.
書誌情報 IEEE Transactions on Nuclear Science

巻 66, 号 1, p. 155-162, 発行日 2019-01
出版者
出版者 IEEE
ISSN
収録物識別子タイプ ISSN
収録物識別子 0018-9499
DOI
識別子タイプ DOI
関連識別子 10.1109/TNS.2018.2882221
関連サイト
識別子タイプ URI
関連識別子 https://ieeexplore.ieee.org/document/8540420
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