Titlebook: Big Scientific Data Benchmarks, Architecture, and Systems; First Workshop, SDBA Rui Ren,Chen Zheng,Jianfeng Zhan Conference proceedings 201

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A Parallel Solving Algorithm on GPU for the Time-Domain Linear System with Diagonal Sparse Matricesroposed an efficient solving algorithm on the graphics processing unit (GPU), which is called T-GMRES. In the proposed T-GMRES, three are the following novelties: (1) a new sparse storage format BRCSD is presented to alleviate the drawback of the diagonal format (DIA) that a large number of zeros ar

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Conference proceedings 2019 Beijing, China, in June 2018..The 10 revised full papers presented were carefully reviewed and selected from 22 submissions. The papers are organized in topical sections on benchmarking; performance optimization; algorithms; big science data framework..

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Stable Vector Autoregressive Processestwo typical index systems–MySQL and HBase–for HEP data management, which are the typical SQL and NoSQL system respectively, we evaluate them from the perspectives of overall performance, system and micro-architecture behaviors. We find that HBase achieves higher performance than MySQL with the data scale increasing.

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Evaluating Index Systems of High Energy Physicstwo typical index systems–MySQL and HBase–for HEP data management, which are the typical SQL and NoSQL system respectively, we evaluate them from the perspectives of overall performance, system and micro-architecture behaviors. We find that HBase achieves higher performance than MySQL with the data scale increasing.

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