Physical Unbiased Generation of Random Numbers With Coupled Resistive Switching Devices
The resistive-switching memory (RRAM) is currently under consideration for fast nonvolatile memory thanks to its relatively low cost and high performance. A key concern for RRAM reliability is stochastic switching, which impacts the operation of the digital memory due to distribution broadening. On...
Ausführliche Beschreibung
Autor*in: |
Balatti, Simone [verfasserIn] |
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Format: |
Artikel |
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Sprache: |
Englisch |
Erschienen: |
2016 |
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Schlagwörter: |
random number genera- tion (RNG) resistive-switching memory (RRAM) |
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Übergeordnetes Werk: |
Enthalten in: IEEE transactions on electron devices - New York, NY : IEEE, 1963, 63(2016), 5, Seite 2029-2035 |
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Übergeordnetes Werk: |
volume:63 ; year:2016 ; number:5 ; pages:2029-2035 |
Links: |
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DOI / URN: |
10.1109/TED.2016.2537792 |
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Katalog-ID: |
OLC1975270312 |
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520 | |a The resistive-switching memory (RRAM) is currently under consideration for fast nonvolatile memory thanks to its relatively low cost and high performance. A key concern for RRAM reliability is stochastic switching, which impacts the operation of the digital memory due to distribution broadening. On the other hand, stochastic behaviors are enabling mechanisms for some computing tasks, such as physical unclonable function (PUF) and random number generation (RNG). Here, we present new circuit blocks for physical RNG, based on the coupling of two RRAM devices. The two-resistance scheme allows to overcome the need of probability tracking, where the operation voltage must be tuned to adjust the generation probabilities of 0 and 1. Probability tests are proved successful for one of the three proposed schemes. | ||
650 | 4 | |a Switching circuits | |
650 | 4 | |a random number genera- tion (RNG) | |
650 | 4 | |a resistive-switching memory (RRAM) | |
650 | 4 | |a Degradation | |
650 | 4 | |a Resistance | |
650 | 4 | |a Integrated circuits | |
650 | 4 | |a Switches | |
650 | 4 | |a Memory reliability | |
650 | 4 | |a Electrical resistance measurement | |
650 | 4 | |a Entropy | |
700 | 1 | |a Ambrogio, Stefano |4 oth | |
700 | 1 | |a Carboni, Roberto |4 oth | |
700 | 1 | |a Milo, Valerio |4 oth | |
700 | 1 | |a Wang, Zhongqiang |4 oth | |
700 | 1 | |a Calderoni, Alessandro |4 oth | |
700 | 1 | |a Ramaswamy, Nirmal |4 oth | |
700 | 1 | |a Ielmini, Daniele |4 oth | |
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10.1109/TED.2016.2537792 doi PQ20160610 (DE-627)OLC1975270312 (DE-599)GBVOLC1975270312 (PRQ)i829-8da36093fd08dc1c5bc3bee374de3bc7c028957967e7bcd0aa6d9554eb5703e40 (KEY)0079428720160000063000502029physicalunbiasedgenerationofrandomnumberswithcoupl DE-627 ger DE-627 rakwb eng 620 DNB Balatti, Simone verfasserin aut Physical Unbiased Generation of Random Numbers With Coupled Resistive Switching Devices 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The resistive-switching memory (RRAM) is currently under consideration for fast nonvolatile memory thanks to its relatively low cost and high performance. A key concern for RRAM reliability is stochastic switching, which impacts the operation of the digital memory due to distribution broadening. On the other hand, stochastic behaviors are enabling mechanisms for some computing tasks, such as physical unclonable function (PUF) and random number generation (RNG). Here, we present new circuit blocks for physical RNG, based on the coupling of two RRAM devices. The two-resistance scheme allows to overcome the need of probability tracking, where the operation voltage must be tuned to adjust the generation probabilities of 0 and 1. Probability tests are proved successful for one of the three proposed schemes. Switching circuits random number genera- tion (RNG) resistive-switching memory (RRAM) Degradation Resistance Integrated circuits Switches Memory reliability Electrical resistance measurement Entropy Ambrogio, Stefano oth Carboni, Roberto oth Milo, Valerio oth Wang, Zhongqiang oth Calderoni, Alessandro oth Ramaswamy, Nirmal oth Ielmini, Daniele oth Enthalten in IEEE transactions on electron devices New York, NY : IEEE, 1963 63(2016), 5, Seite 2029-2035 (DE-627)129602922 (DE-600)241634-7 (DE-576)015096734 0018-9383 nnns volume:63 year:2016 number:5 pages:2029-2035 http://dx.doi.org/10.1109/TED.2016.2537792 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7438858 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 GBV_ILN_2004 GBV_ILN_4313 AR 63 2016 5 2029-2035 |
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10.1109/TED.2016.2537792 doi PQ20160610 (DE-627)OLC1975270312 (DE-599)GBVOLC1975270312 (PRQ)i829-8da36093fd08dc1c5bc3bee374de3bc7c028957967e7bcd0aa6d9554eb5703e40 (KEY)0079428720160000063000502029physicalunbiasedgenerationofrandomnumberswithcoupl DE-627 ger DE-627 rakwb eng 620 DNB Balatti, Simone verfasserin aut Physical Unbiased Generation of Random Numbers With Coupled Resistive Switching Devices 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The resistive-switching memory (RRAM) is currently under consideration for fast nonvolatile memory thanks to its relatively low cost and high performance. A key concern for RRAM reliability is stochastic switching, which impacts the operation of the digital memory due to distribution broadening. On the other hand, stochastic behaviors are enabling mechanisms for some computing tasks, such as physical unclonable function (PUF) and random number generation (RNG). Here, we present new circuit blocks for physical RNG, based on the coupling of two RRAM devices. The two-resistance scheme allows to overcome the need of probability tracking, where the operation voltage must be tuned to adjust the generation probabilities of 0 and 1. Probability tests are proved successful for one of the three proposed schemes. Switching circuits random number genera- tion (RNG) resistive-switching memory (RRAM) Degradation Resistance Integrated circuits Switches Memory reliability Electrical resistance measurement Entropy Ambrogio, Stefano oth Carboni, Roberto oth Milo, Valerio oth Wang, Zhongqiang oth Calderoni, Alessandro oth Ramaswamy, Nirmal oth Ielmini, Daniele oth Enthalten in IEEE transactions on electron devices New York, NY : IEEE, 1963 63(2016), 5, Seite 2029-2035 (DE-627)129602922 (DE-600)241634-7 (DE-576)015096734 0018-9383 nnns volume:63 year:2016 number:5 pages:2029-2035 http://dx.doi.org/10.1109/TED.2016.2537792 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7438858 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 GBV_ILN_2004 GBV_ILN_4313 AR 63 2016 5 2029-2035 |
allfields_unstemmed |
10.1109/TED.2016.2537792 doi PQ20160610 (DE-627)OLC1975270312 (DE-599)GBVOLC1975270312 (PRQ)i829-8da36093fd08dc1c5bc3bee374de3bc7c028957967e7bcd0aa6d9554eb5703e40 (KEY)0079428720160000063000502029physicalunbiasedgenerationofrandomnumberswithcoupl DE-627 ger DE-627 rakwb eng 620 DNB Balatti, Simone verfasserin aut Physical Unbiased Generation of Random Numbers With Coupled Resistive Switching Devices 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The resistive-switching memory (RRAM) is currently under consideration for fast nonvolatile memory thanks to its relatively low cost and high performance. A key concern for RRAM reliability is stochastic switching, which impacts the operation of the digital memory due to distribution broadening. On the other hand, stochastic behaviors are enabling mechanisms for some computing tasks, such as physical unclonable function (PUF) and random number generation (RNG). Here, we present new circuit blocks for physical RNG, based on the coupling of two RRAM devices. The two-resistance scheme allows to overcome the need of probability tracking, where the operation voltage must be tuned to adjust the generation probabilities of 0 and 1. Probability tests are proved successful for one of the three proposed schemes. Switching circuits random number genera- tion (RNG) resistive-switching memory (RRAM) Degradation Resistance Integrated circuits Switches Memory reliability Electrical resistance measurement Entropy Ambrogio, Stefano oth Carboni, Roberto oth Milo, Valerio oth Wang, Zhongqiang oth Calderoni, Alessandro oth Ramaswamy, Nirmal oth Ielmini, Daniele oth Enthalten in IEEE transactions on electron devices New York, NY : IEEE, 1963 63(2016), 5, Seite 2029-2035 (DE-627)129602922 (DE-600)241634-7 (DE-576)015096734 0018-9383 nnns volume:63 year:2016 number:5 pages:2029-2035 http://dx.doi.org/10.1109/TED.2016.2537792 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7438858 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 GBV_ILN_2004 GBV_ILN_4313 AR 63 2016 5 2029-2035 |
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10.1109/TED.2016.2537792 doi PQ20160610 (DE-627)OLC1975270312 (DE-599)GBVOLC1975270312 (PRQ)i829-8da36093fd08dc1c5bc3bee374de3bc7c028957967e7bcd0aa6d9554eb5703e40 (KEY)0079428720160000063000502029physicalunbiasedgenerationofrandomnumberswithcoupl DE-627 ger DE-627 rakwb eng 620 DNB Balatti, Simone verfasserin aut Physical Unbiased Generation of Random Numbers With Coupled Resistive Switching Devices 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The resistive-switching memory (RRAM) is currently under consideration for fast nonvolatile memory thanks to its relatively low cost and high performance. A key concern for RRAM reliability is stochastic switching, which impacts the operation of the digital memory due to distribution broadening. On the other hand, stochastic behaviors are enabling mechanisms for some computing tasks, such as physical unclonable function (PUF) and random number generation (RNG). Here, we present new circuit blocks for physical RNG, based on the coupling of two RRAM devices. The two-resistance scheme allows to overcome the need of probability tracking, where the operation voltage must be tuned to adjust the generation probabilities of 0 and 1. Probability tests are proved successful for one of the three proposed schemes. Switching circuits random number genera- tion (RNG) resistive-switching memory (RRAM) Degradation Resistance Integrated circuits Switches Memory reliability Electrical resistance measurement Entropy Ambrogio, Stefano oth Carboni, Roberto oth Milo, Valerio oth Wang, Zhongqiang oth Calderoni, Alessandro oth Ramaswamy, Nirmal oth Ielmini, Daniele oth Enthalten in IEEE transactions on electron devices New York, NY : IEEE, 1963 63(2016), 5, Seite 2029-2035 (DE-627)129602922 (DE-600)241634-7 (DE-576)015096734 0018-9383 nnns volume:63 year:2016 number:5 pages:2029-2035 http://dx.doi.org/10.1109/TED.2016.2537792 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7438858 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 GBV_ILN_2004 GBV_ILN_4313 AR 63 2016 5 2029-2035 |
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10.1109/TED.2016.2537792 doi PQ20160610 (DE-627)OLC1975270312 (DE-599)GBVOLC1975270312 (PRQ)i829-8da36093fd08dc1c5bc3bee374de3bc7c028957967e7bcd0aa6d9554eb5703e40 (KEY)0079428720160000063000502029physicalunbiasedgenerationofrandomnumberswithcoupl DE-627 ger DE-627 rakwb eng 620 DNB Balatti, Simone verfasserin aut Physical Unbiased Generation of Random Numbers With Coupled Resistive Switching Devices 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The resistive-switching memory (RRAM) is currently under consideration for fast nonvolatile memory thanks to its relatively low cost and high performance. A key concern for RRAM reliability is stochastic switching, which impacts the operation of the digital memory due to distribution broadening. On the other hand, stochastic behaviors are enabling mechanisms for some computing tasks, such as physical unclonable function (PUF) and random number generation (RNG). Here, we present new circuit blocks for physical RNG, based on the coupling of two RRAM devices. The two-resistance scheme allows to overcome the need of probability tracking, where the operation voltage must be tuned to adjust the generation probabilities of 0 and 1. Probability tests are proved successful for one of the three proposed schemes. Switching circuits random number genera- tion (RNG) resistive-switching memory (RRAM) Degradation Resistance Integrated circuits Switches Memory reliability Electrical resistance measurement Entropy Ambrogio, Stefano oth Carboni, Roberto oth Milo, Valerio oth Wang, Zhongqiang oth Calderoni, Alessandro oth Ramaswamy, Nirmal oth Ielmini, Daniele oth Enthalten in IEEE transactions on electron devices New York, NY : IEEE, 1963 63(2016), 5, Seite 2029-2035 (DE-627)129602922 (DE-600)241634-7 (DE-576)015096734 0018-9383 nnns volume:63 year:2016 number:5 pages:2029-2035 http://dx.doi.org/10.1109/TED.2016.2537792 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7438858 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 GBV_ILN_2004 GBV_ILN_4313 AR 63 2016 5 2029-2035 |
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Balatti, Simone @@aut@@ Ambrogio, Stefano @@oth@@ Carboni, Roberto @@oth@@ Milo, Valerio @@oth@@ Wang, Zhongqiang @@oth@@ Calderoni, Alessandro @@oth@@ Ramaswamy, Nirmal @@oth@@ Ielmini, Daniele @@oth@@ |
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Physical Unbiased Generation of Random Numbers With Coupled Resistive Switching Devices |
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Physical Unbiased Generation of Random Numbers With Coupled Resistive Switching Devices |
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physical unbiased generation of random numbers with coupled resistive switching devices |
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Physical Unbiased Generation of Random Numbers With Coupled Resistive Switching Devices |
abstract |
The resistive-switching memory (RRAM) is currently under consideration for fast nonvolatile memory thanks to its relatively low cost and high performance. A key concern for RRAM reliability is stochastic switching, which impacts the operation of the digital memory due to distribution broadening. On the other hand, stochastic behaviors are enabling mechanisms for some computing tasks, such as physical unclonable function (PUF) and random number generation (RNG). Here, we present new circuit blocks for physical RNG, based on the coupling of two RRAM devices. The two-resistance scheme allows to overcome the need of probability tracking, where the operation voltage must be tuned to adjust the generation probabilities of 0 and 1. Probability tests are proved successful for one of the three proposed schemes. |
abstractGer |
The resistive-switching memory (RRAM) is currently under consideration for fast nonvolatile memory thanks to its relatively low cost and high performance. A key concern for RRAM reliability is stochastic switching, which impacts the operation of the digital memory due to distribution broadening. On the other hand, stochastic behaviors are enabling mechanisms for some computing tasks, such as physical unclonable function (PUF) and random number generation (RNG). Here, we present new circuit blocks for physical RNG, based on the coupling of two RRAM devices. The two-resistance scheme allows to overcome the need of probability tracking, where the operation voltage must be tuned to adjust the generation probabilities of 0 and 1. Probability tests are proved successful for one of the three proposed schemes. |
abstract_unstemmed |
The resistive-switching memory (RRAM) is currently under consideration for fast nonvolatile memory thanks to its relatively low cost and high performance. A key concern for RRAM reliability is stochastic switching, which impacts the operation of the digital memory due to distribution broadening. On the other hand, stochastic behaviors are enabling mechanisms for some computing tasks, such as physical unclonable function (PUF) and random number generation (RNG). Here, we present new circuit blocks for physical RNG, based on the coupling of two RRAM devices. The two-resistance scheme allows to overcome the need of probability tracking, where the operation voltage must be tuned to adjust the generation probabilities of 0 and 1. Probability tests are proved successful for one of the three proposed schemes. |
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title_short |
Physical Unbiased Generation of Random Numbers With Coupled Resistive Switching Devices |
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http://dx.doi.org/10.1109/TED.2016.2537792 http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7438858 |
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Ambrogio, Stefano Carboni, Roberto Milo, Valerio Wang, Zhongqiang Calderoni, Alessandro Ramaswamy, Nirmal Ielmini, Daniele |
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