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A framework for optimizing OpenVX applications performance on embedded manycore accelerators., , , and . SCOPES, page 125-128. ACM, (2015)Ultra-low-latency lightweight DMA for tightly coupled multi-core clusters., , , and . Conf. Computing Frontiers, page 15:1-15:10. ACM, (2014)Improving simulation speed and accuracy for many-core embedded platforms with ensemble models., , , , , , and . DATE, page 671-676. EDA Consortium San Jose, CA, USA / ACM DL, (2013)ADRENALINE: An OpenVX Environment to Optimize Embedded Vision Applications on Many-core Accelerators., , , and . MCSoC, page 289-296. IEEE Computer Society, (2015)Exploring multi-banked shared-L1 program cache on ultra-low power, tightly coupled processor clusters., , , , and . Conf. Computing Frontiers, page 64:1-64:8. ACM, (2015)Enabling OpenVX support in mW-scale parallel accelerators., , , and . CASES, page 2:1-2:10. ACM, (2016)Fast and accurate power annotated simulation: Application to a many-core architecture., , , and . PATMOS, page 191-198. IEEE, (2013)An IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor Analytics., , , , , , , , , and 2 other author(s). CoRR, (2016)Runtime Support for Multiple Offload-Based Programming Models on Embedded Manycore Accelerators., , , and . COSMIC@CGO, page 4:1-4:10. ACM, (2015)Supporting localized OpenVX kernel execution for efficient computer vision application development on STHORM many-core platform., , and . Conf. Computing Frontiers, page 23:1-23:2. ACM, (2014)