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We obtain FIFO size distributions using Pareto space searching, based on which the task-to-processor mapping is obtained with the potential FIFO allocation being taken into account; then, the FIFO-to-memory allocation is optimized to minimize the total memory access cost; finally, a self-timed throughput analysis method that considers memory and direct memory access controller contention is utilized to analyze the throughput. Our methods are validated by a set of synthesized and practical applications on different platforms.<\/jats:p>","DOI":"10.1145\/3038484","type":"journal-article","created":{"date-parts":[[2017,3,13]],"date-time":"2017-03-13T12:25:15Z","timestamp":1489407915000},"page":"1-25","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Task-FIFO Co-Scheduling of Streaming Applications on MPSoCs with Predictable Memory Hierarchy"],"prefix":"10.1145","volume":"16","author":[{"given":"Qi","family":"Tang","sequence":"first","affiliation":[{"name":"National University of Defense Technology, Hunan, China"}]},{"given":"Twan","family":"Basten","sequence":"additional","affiliation":[{"name":"Eindhoven University of Technology and TNO Embedded Systems Innovation, Eindhoven, the Netherlands"}]},{"given":"Marc","family":"Geilen","sequence":"additional","affiliation":[{"name":"Eindhoven University of Technology, Eindhoven, the 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