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Medium-Temperature-Oxidized GeOx Resistive-Switching Random-Access Memory and Its Applicability in Processing-in-Memory Computing

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dc.contributor.authorKannan Udaya Mohanan-
dc.contributor.authorCho, Seongjae-
dc.contributor.authorPark, Byung-Gook-
dc.date.accessioned2022-08-06T08:25:46Z-
dc.date.available2022-08-06T17:27:57Z-
dc.date.issued2022-07-05-
dc.identifier.citationNanoscale Research Letters,17(1):63ko_KR
dc.identifier.issn1556-276X-
dc.identifier.urihttps://doi.org/10.1186/s11671-022-03701-8-
dc.identifier.urihttps://hdl.handle.net/10371/184242-
dc.description.abstractProcessing-in-memory (PIM) is emerging as a new computing paradigm to replace the existing von Neumann computer architecture for data-intensive processing. For the higher end-user mobility, low-power operation capability is more increasingly required and components need to be renovated to make a way out of the conventional software-driven artificial intelligence. In this work, we investigate the hardware performances of PIM architecture that can be presumably constructed by resistive-switching random-access memory (ReRAM) synapse fabricated with a relatively larger thermal budget in the full Si processing compatibility. By introducing a medium-temperature oxidation in which the sputtered Ge atoms are oxidized at a relatively higher temperature compared with the ReRAM devices fabricated by physical vapor deposition at room temperature, higher device reliability has been acquired. Based on the empirically obtained device parameters, a PIM architecture has been conceived and a system-level evaluations have been performed in this work. Considerations include the cycle-to-cycle variation in the GeOx ReRAM synapse, analog-to-digital converter resolution, synaptic array size, and interconnect latency for the system-level evaluation with the Canadian Institute for Advance Research-10 dataset. A fully Si processing-compatible and robust ReRAM synapse and its applicability for PIM are demonstrated.ko_KR
dc.description.sponsorshipThis work was supported by a National Research Foundation of Korea (NRF) grant funded by the Ministry of Science and ICT of Korea (MSIT) under the Grant Number of 2021M3F3A2A01037927.ko_KR
dc.language.isoenko_KR
dc.publisherSpringer Openko_KR
dc.subjectMedium-temperature oxidation-
dc.subjectGermanium oxide-
dc.subjectResistive-switching random-access memory (ReRAM)-
dc.subjectLow-power hardware neural network-
dc.subjectProcessing-in-memory (PIM)-
dc.titleMedium-Temperature-Oxidized GeOx Resistive-Switching Random-Access Memory and Its Applicability in Processing-in-Memory Computingko_KR
dc.typeArticleko_KR
dc.identifier.doi10.1186/s11671-022-03701-8ko_KR
dc.citation.journaltitleNanoscale Research Lettersko_KR
dc.language.rfc3066en-
dc.rights.holderThe Author(s)-
dc.date.updated2022-07-10T03:20:12Z-
dc.citation.number1ko_KR
dc.citation.startpage63ko_KR
dc.citation.volume17ko_KR
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