Search Results - computer program http data processing.
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544by Dünnweber, JanSubjects: “...Electronic data processing Distributed processing. http://id.loc.gov/authorities/subjects/sh85042293...”
Published 2009
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547by Sun, QimingTable of Contents: “...-- Cross-platform compatibility -- Software version dependency -- Security problem -- 6.1.2 JSON -- 6.1.3 YAML -- 6.2 File I/O -- 6.2.1 The npy format -- 6.2.2 HDF5 storage -- 6.2.3 Memory mapping -- 6.3 I/O buffering -- 6.4 In-memory I/O -- 6.5 Network I/O -- 6.5.1 Network requests over HTTP -- 6.5.2 REST API -- 6.5.3 RPC over HTTP -- 6.5.4 gPRC -- 6.5.5 Apache arrow -- Summary -- References -- 7 Working with cloud -- 7.1 Utilizing cloud computing -- 7.1.1 Comparison between cloud and supercomputers -- 7.1.2 Designing a workflow -- 7.1.3 Computing resources -- 7.1.4 Communications among cloud services -- The configuration of the DFT task executor -- The configuration of the RPC server -- Deploying RPC server -- 7.1.5 Function-as-a-Service -- 7.2 Distributed job executors -- 7.2.1 Celery -- 7.2.2 Dask -- 7.2.3 Ray -- Summary -- References -- 2 High performance computing with Python -- 8 Foreign language interfaces -- 8.1 Inter-process communication interfaces -- 8.2 C/C++ interfaces -- 8.2.1 Data types and type conversion -- 8.2.1.1 Integer -- 8.2.1.2 Float -- 8.2.1.3 String....”
Published 2025
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548by Sun, QimingTable of Contents: “...-- Cross-platform compatibility -- Software version dependency -- Security problem -- 6.1.2 JSON -- 6.1.3 YAML -- 6.2 File I/O -- 6.2.1 The npy format -- 6.2.2 HDF5 storage -- 6.2.3 Memory mapping -- 6.3 I/O buffering -- 6.4 In-memory I/O -- 6.5 Network I/O -- 6.5.1 Network requests over HTTP -- 6.5.2 REST API -- 6.5.3 RPC over HTTP -- 6.5.4 gPRC -- 6.5.5 Apache arrow -- Summary -- References -- 7 Working with cloud -- 7.1 Utilizing cloud computing -- 7.1.1 Comparison between cloud and supercomputers -- 7.1.2 Designing a workflow -- 7.1.3 Computing resources -- 7.1.4 Communications among cloud services -- The configuration of the DFT task executor -- The configuration of the RPC server -- Deploying RPC server -- 7.1.5 Function-as-a-Service -- 7.2 Distributed job executors -- 7.2.1 Celery -- 7.2.2 Dask -- 7.2.3 Ray -- Summary -- References -- 2 High performance computing with Python -- 8 Foreign language interfaces -- 8.1 Inter-process communication interfaces -- 8.2 C/C++ interfaces -- 8.2.1 Data types and type conversion -- 8.2.1.1 Integer -- 8.2.1.2 Float -- 8.2.1.3 String....”
Published 2025
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