Bit error rate estimation in SRAM considering temperature fluctuation
SRAM performance varies depending on the operating environment. This study specifically examines the bit error rate (BER) when considering temperature fluctuation. The SRAM performance is generally determined using a read margin because a half-select issue must be considered even in a write operatio...
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creator | Kagiyama, Y. Okumura, S. Yanagida, K. Yoshimoto, S. Nakata, Y. Izumi, S. Kawaguchi, H. Yoshimoto, M. |
description | SRAM performance varies depending on the operating environment. This study specifically examines the bit error rate (BER) when considering temperature fluctuation. The SRAM performance is generally determined using a read margin because a half-select issue must be considered even in a write operation. As a metric of the SRAM's performance, we also adopt a static noise margin (SNM) with which we evaluate three methods to estimate the BER considering temperature fluctuation. Method 1 iterates calculations for the SNM many times with Monte Carlo simulation. BER is defined as the number of cells that have no margin. Method 2 includes the assumption that SNM forms a normal distribution. Its BER is defined as a probability distribution function. Method 3 includes the assumption that SNM is determined as either square but not the smaller one of the two squares. The BER estimations are compared with a test chip result implemented in a 65-nm CMOS technology: Method 2 has 11.10% and Method 3 has 4.09% difference (unfortunately, Method 1 has no data missing because of a lack of simulations). The shift of the minimum operating voltage between the low and high temperatures is 0.04 V at a 128-Kb capacity when the temperature fluctuates from 25°C to 100°C. |
doi_str_mv | 10.1109/ISQED.2012.6187542 |
format | Conference Proceeding |
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This study specifically examines the bit error rate (BER) when considering temperature fluctuation. The SRAM performance is generally determined using a read margin because a half-select issue must be considered even in a write operation. As a metric of the SRAM's performance, we also adopt a static noise margin (SNM) with which we evaluate three methods to estimate the BER considering temperature fluctuation. Method 1 iterates calculations for the SNM many times with Monte Carlo simulation. BER is defined as the number of cells that have no margin. Method 2 includes the assumption that SNM forms a normal distribution. Its BER is defined as a probability distribution function. Method 3 includes the assumption that SNM is determined as either square but not the smaller one of the two squares. The BER estimations are compared with a test chip result implemented in a 65-nm CMOS technology: Method 2 has 11.10% and Method 3 has 4.09% difference (unfortunately, Method 1 has no data missing because of a lack of simulations). 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This study specifically examines the bit error rate (BER) when considering temperature fluctuation. The SRAM performance is generally determined using a read margin because a half-select issue must be considered even in a write operation. As a metric of the SRAM's performance, we also adopt a static noise margin (SNM) with which we evaluate three methods to estimate the BER considering temperature fluctuation. Method 1 iterates calculations for the SNM many times with Monte Carlo simulation. BER is defined as the number of cells that have no margin. Method 2 includes the assumption that SNM forms a normal distribution. Its BER is defined as a probability distribution function. Method 3 includes the assumption that SNM is determined as either square but not the smaller one of the two squares. The BER estimations are compared with a test chip result implemented in a 65-nm CMOS technology: Method 2 has 11.10% and Method 3 has 4.09% difference (unfortunately, Method 1 has no data missing because of a lack of simulations). The shift of the minimum operating voltage between the low and high temperatures is 0.04 V at a 128-Kb capacity when the temperature fluctuates from 25°C to 100°C.</description><subject>Bit error rate</subject><subject>Fluctuations</subject><subject>Random access memory</subject><subject>SRAM</subject><subject>static noise margin</subject><subject>Temperature</subject><subject>Temperature dependence</subject><subject>temperature fluctuation</subject><subject>Temperature measurement</subject><subject>Transistors</subject><issn>1948-3287</issn><issn>1948-3295</issn><isbn>9781467310345</isbn><isbn>1467310344</isbn><isbn>1467310352</isbn><isbn>9781467310369</isbn><isbn>1467310360</isbn><isbn>9781467310352</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo9kM1OAjEUhetfIiAvoJu-wIy9be-0XSKMSoIxiq5JZ-aOqYGBdMrCt5coujqL78vJyWHsGkQOINztfPlSznIpQOYFWINanrAh6MIoEArlKRuA0zZT0uEZGztj_5jG839mzSUb9v2nEBrR2AEr70LiFOM28ugTcepT2PgUth0PHV--Tp54ve360FAM3QdPtNnRQdxH4u16X6f9j3vFLlq_7ml8zBF7vy_fpo_Z4vlhPp0ssiA1pKwWrsGaLBTagjO-QnSkFJmqAtC-abF1olEFVh6L1ltFEisnTAVSeBBajdjNb28gotUuHqbGr9XxDvUNkSFPsQ</recordid><startdate>201203</startdate><enddate>201203</enddate><creator>Kagiyama, Y.</creator><creator>Okumura, S.</creator><creator>Yanagida, K.</creator><creator>Yoshimoto, S.</creator><creator>Nakata, Y.</creator><creator>Izumi, S.</creator><creator>Kawaguchi, H.</creator><creator>Yoshimoto, M.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201203</creationdate><title>Bit error rate estimation in SRAM considering temperature fluctuation</title><author>Kagiyama, Y. ; Okumura, S. ; Yanagida, K. ; Yoshimoto, S. ; Nakata, Y. ; Izumi, S. ; Kawaguchi, H. ; Yoshimoto, M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i241t-c09d5ce81648197ab559e33e7bb114adf5f90d365ba56fa83e25b907b120a1043</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Bit error rate</topic><topic>Fluctuations</topic><topic>Random access memory</topic><topic>SRAM</topic><topic>static noise margin</topic><topic>Temperature</topic><topic>Temperature dependence</topic><topic>temperature fluctuation</topic><topic>Temperature measurement</topic><topic>Transistors</topic><toplevel>online_resources</toplevel><creatorcontrib>Kagiyama, Y.</creatorcontrib><creatorcontrib>Okumura, S.</creatorcontrib><creatorcontrib>Yanagida, K.</creatorcontrib><creatorcontrib>Yoshimoto, S.</creatorcontrib><creatorcontrib>Nakata, Y.</creatorcontrib><creatorcontrib>Izumi, S.</creatorcontrib><creatorcontrib>Kawaguchi, H.</creatorcontrib><creatorcontrib>Yoshimoto, M.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Kagiyama, Y.</au><au>Okumura, S.</au><au>Yanagida, K.</au><au>Yoshimoto, S.</au><au>Nakata, Y.</au><au>Izumi, S.</au><au>Kawaguchi, H.</au><au>Yoshimoto, M.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Bit error rate estimation in SRAM considering temperature fluctuation</atitle><btitle>Thirteenth International Symposium on Quality Electronic Design (ISQED)</btitle><stitle>ISQED</stitle><date>2012-03</date><risdate>2012</risdate><spage>516</spage><epage>519</epage><pages>516-519</pages><issn>1948-3287</issn><eissn>1948-3295</eissn><isbn>9781467310345</isbn><isbn>1467310344</isbn><eisbn>1467310352</eisbn><eisbn>9781467310369</eisbn><eisbn>1467310360</eisbn><eisbn>9781467310352</eisbn><abstract>SRAM performance varies depending on the operating environment. This study specifically examines the bit error rate (BER) when considering temperature fluctuation. The SRAM performance is generally determined using a read margin because a half-select issue must be considered even in a write operation. As a metric of the SRAM's performance, we also adopt a static noise margin (SNM) with which we evaluate three methods to estimate the BER considering temperature fluctuation. Method 1 iterates calculations for the SNM many times with Monte Carlo simulation. BER is defined as the number of cells that have no margin. Method 2 includes the assumption that SNM forms a normal distribution. Its BER is defined as a probability distribution function. Method 3 includes the assumption that SNM is determined as either square but not the smaller one of the two squares. The BER estimations are compared with a test chip result implemented in a 65-nm CMOS technology: Method 2 has 11.10% and Method 3 has 4.09% difference (unfortunately, Method 1 has no data missing because of a lack of simulations). The shift of the minimum operating voltage between the low and high temperatures is 0.04 V at a 128-Kb capacity when the temperature fluctuates from 25°C to 100°C.</abstract><pub>IEEE</pub><doi>10.1109/ISQED.2012.6187542</doi><tpages>4</tpages></addata></record> |
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identifier | ISSN: 1948-3287 |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Bit error rate Fluctuations Random access memory SRAM static noise margin Temperature Temperature dependence temperature fluctuation Temperature measurement Transistors |
title | Bit error rate estimation in SRAM considering temperature fluctuation |
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