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Mission possible: Unify HPC and Big Data stacks towards application-defined blobs at the storage layer.

, , , , , , , , and . Future Gener. Comput. Syst., (2020)

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Could Blobs Fuel Storage-Based Convergence Between HPC and Big Data?, , , , , and . CLUSTER, page 81-86. IEEE Computer Society, (2017)Týr: blob storage meets built-in transactions., , , , and . SC, page 573-584. IEEE Computer Society, (2016)Neon: Low-Latency Streaming Pipelines for HPC., and . CLOUD, page 698-707. IEEE, (2021)Towards Efficient Location and Placement of Dynamic Replicas for Geo-Distributed Data Stores., , , , and . ScienceCloud@HPDC, page 3-9. ACM, (2016)Týr: Storage-Based HPC and Big Data Convergence Using Transactional Blobs.. Technical University of Madrid, Spain, (2018)SLoG: Large-Scale Logging Middleware for HPC and Big Data Convergence., , , , , and . ICDCS, page 1507-1512. IEEE Computer Society, (2018)Keeping up with storage: Decentralized, write-enabled dynamic geo-replication., , , , and . Future Gener. Comput. Syst., (2018)Mission possible: Unify HPC and Big Data stacks towards application-defined blobs at the storage layer., , , , , , , , and . Future Gener. Comput. Syst., (2020)TýrFS: Increasing Small Files Access Performance with Dynamic Metadata Replication., , , and . CCGrid, page 452-461. IEEE Computer Society, (2018)