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Volumn , Issue , 2015, Pages 213-218

Optimal performance prediction of ADAS algorithms on embedded parallel architectures

Author keywords

Embedded Systems; Heterogeneous Architectures; Image Processing; Performance Prediction

Indexed keywords

ADVANCED DRIVER ASSISTANCE SYSTEMS; APPLICATION SPECIFIC INTEGRATED CIRCUITS; AUTOMOBILE DRIVERS; AUTOMOTIVE INDUSTRY; COMPUTER ARCHITECTURE; COMPUTERS; EMBEDDED SOFTWARE; EMBEDDED SYSTEMS; FORECASTING; IMAGE PROCESSING; PARALLEL ARCHITECTURES; PROGRAMMABLE LOGIC CONTROLLERS; SEMICONDUCTOR DEVICE MANUFACTURE; SYSTEM-ON-CHIP;

EID: 84961746347     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HPCC-CSS-ICESS.2015.95     Document Type: Conference Paper
Times cited : (9)

References (22)
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    • ACM
    • S. Hong and H. Kim, "An analytical model for a GPU architecture with memory-level and thread-level parallelism awareness, " in ACM SIGARCH Comp. Architecture News, vol. 37, no. 3. ACM, 2009, pp. 152-163.
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  • 20
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    • The boat hull model: Enabling performance prediction for parallel computing prior to code development
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    • Nugteren, C.1    Corporaal, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.