Hydra: Brokering Cloud and HPC Resources to Support the Execution of Heterogeneous Workloads at Scale
Author:
Affiliation:
1. Electrical and Computer Engineering / School of Engineering / RADICAL-Lab, Rutgers The State University of New Jersey, New Brunswick, NJ, United States of America
2. Brookhaven National Laboratory, Upton, NY, USA
Funder
NSF
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3659995.3660040
Reference33 articles.
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3. Rosa Maria Badia Sala Ayguadé Parra et al. 2017. Workflows for science: A challenge when facing the convergence of HPC and big data. Supercomputing frontiers and innovations 4 1 (2017) 27--47.
4. Vivek Balasubramanian Matteo Turilli Weiming Hu et al. 2018. Harnessing the power of many: Extensible toolkit for scalable ensemble applications. IEEE 536--545.
5. Tal Ben-Nun Todd Gamblin Daisy S Hollman et al. 2020. Workflows are the new applications: Challenges in performance portability and productivity. IEEE 57--69.
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