Matches in SemOpenAlex for { <https://semopenalex.org/work/W3116381964> ?p ?o ?g. }
Showing items 1 to 64 of
64
with 100 items per page.
- W3116381964 abstract "In memory computation for machine learning (ML) applications is a novel technique for neural-network computation accelerators, since it is highly parallel and can save a great amount of computation and memory access power. In this paper, we propose a compute in memory (CIM) design based on a new type of high-performance transistor, called Negative Capacitance Field Effect Transistor (NCFET). The proposed design demonstrates much higher energy efficiency than the CIM designs based on traditional CMOS transistors. Simulation results show that the proposed NCFET CIM achieves 3X energy reduction or 18X speed enhancement than the CMOS based CIM design." @default.
- W3116381964 created "2021-01-05" @default.
- W3116381964 creator A5026440458 @default.
- W3116381964 creator A5034353500 @default.
- W3116381964 creator A5064876889 @default.
- W3116381964 creator A5066241253 @default.
- W3116381964 date "2020-12-08" @default.
- W3116381964 modified "2023-09-27" @default.
- W3116381964 title "Design of an 45nm NCFET Based Compute-in-SRAM for Energy-Efficient Machine Learning Applications" @default.
- W3116381964 cites W1997267143 @default.
- W3116381964 cites W2060718027 @default.
- W3116381964 cites W2591601611 @default.
- W3116381964 cites W2621979731 @default.
- W3116381964 cites W2790556218 @default.
- W3116381964 cites W2792893539 @default.
- W3116381964 cites W2810838165 @default.
- W3116381964 doi "https://doi.org/10.1109/apccas50809.2020.9301709" @default.
- W3116381964 hasPublicationYear "2020" @default.
- W3116381964 type Work @default.
- W3116381964 sameAs 3116381964 @default.
- W3116381964 citedByCount "3" @default.
- W3116381964 countsByYear W31163819642021 @default.
- W3116381964 countsByYear W31163819642022 @default.
- W3116381964 countsByYear W31163819642023 @default.
- W3116381964 crossrefType "proceedings-article" @default.
- W3116381964 hasAuthorship W3116381964A5026440458 @default.
- W3116381964 hasAuthorship W3116381964A5034353500 @default.
- W3116381964 hasAuthorship W3116381964A5064876889 @default.
- W3116381964 hasAuthorship W3116381964A5066241253 @default.
- W3116381964 hasConcept C118524514 @default.
- W3116381964 hasConcept C121332964 @default.
- W3116381964 hasConcept C149635348 @default.
- W3116381964 hasConcept C186370098 @default.
- W3116381964 hasConcept C2994168587 @default.
- W3116381964 hasConcept C41008148 @default.
- W3116381964 hasConcept C62520636 @default.
- W3116381964 hasConcept C68043766 @default.
- W3116381964 hasConcept C9390403 @default.
- W3116381964 hasConceptScore W3116381964C118524514 @default.
- W3116381964 hasConceptScore W3116381964C121332964 @default.
- W3116381964 hasConceptScore W3116381964C149635348 @default.
- W3116381964 hasConceptScore W3116381964C186370098 @default.
- W3116381964 hasConceptScore W3116381964C2994168587 @default.
- W3116381964 hasConceptScore W3116381964C41008148 @default.
- W3116381964 hasConceptScore W3116381964C62520636 @default.
- W3116381964 hasConceptScore W3116381964C68043766 @default.
- W3116381964 hasConceptScore W3116381964C9390403 @default.
- W3116381964 hasLocation W31163819641 @default.
- W3116381964 hasOpenAccess W3116381964 @default.
- W3116381964 hasPrimaryLocation W31163819641 @default.
- W3116381964 hasRelatedWork W2104538659 @default.
- W3116381964 hasRelatedWork W2116587708 @default.
- W3116381964 hasRelatedWork W2134409306 @default.
- W3116381964 hasRelatedWork W2150194641 @default.
- W3116381964 hasRelatedWork W2170154730 @default.
- W3116381964 hasRelatedWork W2280428868 @default.
- W3116381964 hasRelatedWork W2407107106 @default.
- W3116381964 hasRelatedWork W2993507867 @default.
- W3116381964 hasRelatedWork W4213400063 @default.
- W3116381964 hasRelatedWork W4214787740 @default.
- W3116381964 isParatext "false" @default.
- W3116381964 isRetracted "false" @default.
- W3116381964 magId "3116381964" @default.
- W3116381964 workType "article" @default.