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Stream Processing on Multi-cores with GPUs: Parallel Programming Models' Challenges.

, , , , , , and . IPDPS Workshops, page 834-841. IEEE, (2019)

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A framework for experimenting with structure parallel programming environment design., , , , , , , , , and . PARCO, volume 13 of Advances in Parallel Computing, page 617-624. Elsevier, (2003)FastFlow: Efficient Parallel Streaming Applications on Multi-core, , and . CoRR, (2009)VirtuaLinux: Virtualized High-Density Clusters with no Single Point of Failure., , , , , , , , and . PARCO, volume 15 of Advances in Parallel Computing, page 355-362. IOS Press, (2007)A Power-Aware, Self-Adaptive Macro Data Flow Framework., , and . Parallel Process. Lett., 27 (1): 1740004:1-1740004:20 (2017)The SWH-Analytics Framework., , , , , and . itaDATA, volume 3606 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)An Abstract Annotation Model for Skeletons., , , , and . FMCO, volume 7542 of Lecture Notes in Computer Science, page 257-276. Springer, (2011)Accelerating Stream Processing Queries with Congestion-aware Scheduling and Real-time Linux Threads., , , , and . CF, page 144-153. ACM, (2023)Autonomic management experiences in structured parallel programming., , , and . HPCS, page 336-343. IEEE, (2019)Accelerating Code on Multi-cores with FastFlow., , , , and . Euro-Par (2), volume 6853 of Lecture Notes in Computer Science, page 170-181. Springer, (2011)Energy Driven Adaptivity in Stream Parallel Computations., , and . PDP, page 103-110. IEEE Computer Society, (2015)