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Enabling Scalable Data Processing and Management through Standards-based Job Execution and the Global Federated File System
2016
Scalable Computing : Practice and Experience
Emerging challenges for scientific communities are to efficiently process big data obtained by experimentation and computational simulations. Supercomputing architectures are available to support scalable and high performant processing environment, but many of the existing algorithm implementations are still unable to cope with its architectural complexity. One approach is to have innovative technologies that effectively use these resources and also deal with geographically dispersed large
doi:10.12694/scpe.v17i2.1160
fatcat:aeijhk4rmjgblbi4tsucizuh6m