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Faithful performance prediction of a dynamic task-based runtime system for heterogeneous multi-core architectures.

, , , , and . Concurr. Comput. Pract. Exp., 27 (16): 4075-4090 (2015)

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Fast and Faithful Performance Prediction of MPI Applications: the HPL Case Study., , and . CLUSTER, page 1-11. IEEE, (2019)A visual performance analysis framework for task-based parallel applications running on hybrid clusters., , , , , and . Concurr. Comput. Pract. Exp., (2018)Adapting Batch Scheduling to Workload Characteristics: What Can We Expect From Online Learning?, , and . IPDPS, page 686-695. IEEE, (2019)Analyzing Dynamic Task-Based Applications on Hybrid Platforms: An Agile Scripting Approach., , , , , and . VPA@SC, page 17-24. IEEE, (2016)Minimizing the stretch when scheduling flows of biological requests., , and . SPAA, page 103-112. ACM, (2006)Toward a fully decentralized algorithm for multiple bag-of-tasks application scheduling on grids., , and . GRID, page 118-125. IEEE Computer Society, (2008)Off-Line Scheduling of Divisible Requests on an Heterogeneous Collection of Databanks., , and . IPDPS, IEEE Computer Society, (2005)Summarizing task-based applications behavior over many nodes through progression clustering., , , and . PDP, page 35-42. IEEE, (2023)Fog Based Framework for IoT Service Provisioning., , , and . CCNC, page 1-6. IEEE, (2019)Attributing and Referencing (Research) Software: Best Practices and Outlook from Inria., , , , , , and . CoRR, (2019)