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

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發(fā)表于 2025-3-21 18:27:39 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Big Scientific Data Benchmarks, Architecture, and Systems
期刊簡稱First Workshop, SDBA
影響因子2023Rui Ren,Chen Zheng,Jianfeng Zhan
視頻videohttp://file.papertrans.cn/186/185748/185748.mp4
學(xué)科分類Communications in Computer and Information Science
圖書封面Titlebook: Big Scientific Data Benchmarks, Architecture, and Systems; First Workshop, SDBA Rui Ren,Chen Zheng,Jianfeng Zhan Conference proceedings 201
影響因子.This book constitutes the refereed proceedings of the First Workshop on Big Scientific Data Benchmarks, Architecture, and Systems, SDBA 2018, held in 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..
Pindex Conference proceedings 2019
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發(fā)表于 2025-3-22 00:10:45 | 只看該作者
Stable Vector Autoregressive Processesated data reaches to petabytes scale. Retrieving data from massive data occupies a large proportion of data processing in HEP. Hence, the data query latency and throughput are the most important metrics for HEP data management. Inspired by the indexing technology of databases, the technology that im
板凳
發(fā)表于 2025-3-22 01:09:25 | 只看該作者
https://doi.org/10.1007/978-1-4899-3184-9ionships”. Now, the graph database system is used to analyze complex relationship between entities, especially, in the scientific research field. For example, the RDF-based graph database system has been used for biological data processing. Many previous works have proved that the graph database sys
地板
發(fā)表于 2025-3-22 06:27:11 | 只看該作者
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發(fā)表于 2025-3-22 09:45:28 | 只看該作者
Christopher Chatfield,Alexander J. Collinsonness is leaving parts of updating computation on server which reduces the burden of network via making transmitted data sparse. But above tricks’ convergences are not well-proved. In this paper, based on above commonness, we propose a more general algorithm named as asynchronous COMID and prove it
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發(fā)表于 2025-3-22 18:05:46 | 只看該作者
The Optimum Number of Latent Variables,ning data is required to define the normal behavior, but it is expensive to annotate the normal part for large volume data. Secondly, many algorithms are parameter-laden, which are hard to be generalized to different dataset. This paper is motivated to overcome these disadvantages. It is believed th
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發(fā)表于 2025-3-22 21:45:51 | 只看該作者
Chemometrics and Multivariate Calibration,olution of material irradiation damage. With the improvement of memory and computational power, the multiscale simulation puts forward high demands for supercomputing, big data, and artificial intelligence. This paper explores a collaborative framework of supercomputing, big data, and artificial int
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發(fā)表于 2025-3-23 02:28:11 | 只看該作者
Introduction to Muon Spin Spectroscopyt’s more, the heterogeneity and multi-source of Scientific Big Data (SBD), resulting in a wide variety of databases, scientific devices and functional areas, make the incompatibility and conflict between system modules inevitable. In this context, the paper focuses on the design and technology requi
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發(fā)表于 2025-3-23 07:11:41 | 只看該作者
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