Applications SPIDAL MIDAS ABDS

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Presentation transcript:

Applications SPIDAL MIDAS ABDS Govt. Operations Commercial Defense Healthcare, Life Science Deep Learning, Social Media Research Ecosystems Astronomy, Physics Earth, Env., Polar Science Energy (Inter)disciplinary Workflow Analytics Libraries Native ABDS SQL-engines, Storm, Impala, Hive, Shark Native HPC MPI HPC-ABDS MapReduce Map Only, PP Many Task Classic MapReduce Map Collective Map – Point to Point, Graph  MIddleware for Data-Intensive Analytics and Science (MIDAS) API Communication (MPI, RDMA, Hadoop Shuffle/Reduce, HARP Collectives, Giraph point-to-point) Data Systems and Abstractions (In-Memory; HBase, Object Stores, other NoSQL stores, Spatial, SQL, Files) Higher-Level Workload Management (Tez, Llama) Workload Management (Pilots, Condor) Framework specific Scheduling (e.g. YARN) External Data Access (Virtual Filesystem, GridFTP, SRM, SSH) Cluster Resource Manager (YARN, Mesos, SLURM, Torque, SGE) Compute, Storage and Data Resources (Nodes, Cores, Lustre, HDFS) Community & Examples SPIDAL Programming & Runtime Models MIDAS Resource Fabric