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DI-MMAP - a scalable memory-map runtime for out-of-core data-intensive applications., , , , and . Clust. Comput., 18 (1): 15-28 (2015)Design and Optimization of a Metagenomics Analysis Workflow for NVRAM., , , , and . IPDPS Workshops, page 556-565. IEEE Computer Society, (2014)DI-MMAP: A High Performance Memory-Map Runtime for Data-Intensive Applications., , , and . SC Companion, page 731-735. IEEE Computer Society, (2012)Massive scale deep learning for detecting extreme climate events, , , , , and . Climate Informatics, (2017)Scalable metagenomic taxonomy classification using a reference genome database., , , , , and . Bioinform., 29 (18): 2253-2260 (2013)Resolution Reconstruction of Climate Data with Pixel Recursive Model., , , , , and . ICDM Workshops, page 313-321. IEEE Computer Society, (2017)QMDS: a file system metadata management service supporting a graph data model-based query language., , and . Int. J. Parallel Emergent Distributed Syst., 28 (2): 159-183 (2013)Searching and navigating petabyte-scale file systems based on facets., , , , , and . PDSW, page 21-25. ACM Press, (2007)Automated, Reliable, and Efficient Continental-Scale Replication of 7.3 Petabytes of Climate Simulation Data: A Case Study., , , , , , , , , and . CoRR, (2024)On the Role of NVRAM in Data-intensive Architectures: An Evaluation., , , and . IPDPS, page 703-714. IEEE Computer Society, (2012)