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Performance Evaluation of NoC-Based Multicore Systems: From Traffic Analysis to NoC Latency Modeling.

, , , and . ACM Trans. Design Autom. Electr. Syst., 21 (3): 52:1-52:38 (2016)

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Performance evaluation of multicore systems: from traffic analysis to latency predictions (embedded tutorial)., , , and . ICCAD, page 82-84. IEEE, (2013)Incomplete electrocardiogram time series prediction., , , , , , and . BioCAS, page 200-203. IEEE, (2016)M3A: Model, MetaModel and Anomaly Detection for Inter-arrivals of Web Searches and Postings., , , , , and . DSAA, page 341-350. IEEE, (2017)SVR-NoC: a performance analysis tool for network-on-chips using learning-based support vector regression model., , , , , and . DATE, page 354-357. EDA Consortium San Jose, CA, USA / ACM DL, (2013)LRADNN: High-throughput and energy-efficient Deep Neural Network accelerator using Low Rank Approximation., , and . ASP-DAC, page 581-586. IEEE, (2016)BHNN: A memory-efficient accelerator for compressing deep neural networks with blocked hashing techniques., , and . ASP-DAC, page 690-695. IEEE, (2017)An FPGA-based morphological filter for baseline wandering correction in photoplethysmography., , , and . BioCAS, page 216-219. IEEE, (2016)A Support Vector Regression (SVR)-Based Latency Model for Network-on-Chip (NoC) Architectures., , , , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 35 (3): 471-484 (2016)Live demonstration: A support vector machine based hardware platform for blood pressure prediction., , , , , , and . BioCAS, page 130. IEEE, (2016)M3A: Model, MetaModel, and Anomaly Detection in Web Searches., , , , , and . CoRR, (2016)