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Application characterization at scale: lessons learned from developing a distributed open community runtime system for high performance computing., , , , and . Conf. Computing Frontiers, page 164-171. ACM, (2016)Asynchronous Runtimes in Action: An Introspective Framework for a Next Gen Runtime., , , , and . IPDPS Workshops, page 1744-1751. IEEE Computer Society, (2016)TAZeR: Hiding the Cost of Remote I/O in Distributed Scientific Workflows., , , and . IEEE BigData, page 383-394. IEEE, (2019)Designing Scalable Distributed Memory Models: A Case Study., , , , , and . Conf. Computing Frontiers, page 174-182. ACM, (2017)An Implementation of the Codelet Model., , and . Euro-Par, volume 8097 of Lecture Notes in Computer Science, page 633-644. Springer, (2013)Verification of the Extended Roofline Model for Asynchronous Many Task Runtimes., , , , , and . ESPM2@SC, page 6:1-6:8. ACM, (2017)LC-MEMENTO: A Memory Model for Accelerated Architectures., , , , , , and . LCPC, volume 13181 of Lecture Notes in Computer Science, page 67-82. Springer, (2021)Adaptive Runtime Features for Distributed Graph Algorithms., , , and . HiPC, page 82-91. IEEE, (2018)Effectively Using Remote I/O For Work Composition in Distributed Workflows., , , , and . IEEE BigData, page 426-433. IEEE, (2020)A Parallel Graph Environment for Real-World Data Analytics Workflows., , , , , , , , , and 2 other author(s). DATE, page 1313-1318. IEEE, (2019)