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Balancing Thread-Level and Task-Level Parallelism for Data-Intensive Workloads on Clusters and Clouds.

, , , , , and . CLUSTER, page 390-393. IEEE Computer Society, (2015)

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Expanding Tasks of Logical Workflows Into Independent Workflows for Improved Scalability., , , , and . CCGRID, page 548-549. IEEE Computer Society, (2014)Balancing Thread-Level and Task-Level Parallelism for Data-Intensive Workloads on Clusters and Clouds., , , , , and . CLUSTER, page 390-393. IEEE Computer Society, (2015)Mining the Clinical Narrative: All Text are Not Equal., , and . ICHI, page 271-280. IEEE Computer Society, (2016)MAKER as a Service: Moving HPC Applications to Jetstream Cloud., , , and . IC2E, page 72-78. IEEE Computer Society, (2018)Automatic Dependency Management for Scientific Applications on Clusters., , , and . IC2E, page 41-49. IEEE Computer Society, (2018)Solving the Container Explosion Problem for Distributed High Throughput Computing., , , and . IPDPS, page 388-398. IEEE, (2020)Confuga: Scalable Data Intensive Computing for POSIX Workflows., , and . CCGRID, page 392-401. IEEE Computer Society, (2015)Dynamic Sizing of Continuously Divisible Jobs for Heterogeneous Resources., , and . eScience, page 178-187. IEEE, (2019)An Algebra for Robust Workflow Transformations., and . eScience, page 156-167. IEEE Computer Society, (2018)Scaling Up Bioinformatics Workflows with Dynamic Job Expansion: A Case Study Using Galaxy and Makeflow., , , , , and . e-Science, page 332-341. IEEE Computer Society, (2015)