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Stream processing in data-driven computational science
2006 7th IEEE/ACM International Conference on Grid Computing, 2006The use of real-time data streams in data-driven computational science is driving the need for stream processing tools that work within the architectural framework of the larger application. Data stream processing systems are beginning to emerge in the commercial space, but these systems fail to address the needs of large-scale scientific applications.
Ying Liu, Nithya Vijayakumar, Beth Plale
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Mathematical modeling in materials science of electronic component, 2022
The paper considers the architecture of building parallel data storage systems in high-performance computing systems. The features of data representation in parallel file systems for applied problems of materials science are analyzed.
K. Volovich, S. Denisov, V. Kondrashev
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The paper considers the architecture of building parallel data storage systems in high-performance computing systems. The features of data representation in parallel file systems for applied problems of materials science are analyzed.
K. Volovich, S. Denisov, V. Kondrashev
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Data processing and Computer Science graduates
Proceedings of the fifth SIGCSE technical symposium on Computer science education - SIGCSE '75, 1975The following paper presents the views, observations and concerns of an educator working in the field of information and data processing. The primary comments and suggestions are directed toward the academic community although suggestions and goals are also made which are applicable to the information and data processing field.
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Data processing and computer science theory
Proceedings of the fourteenth SIGCSE technical symposium on Computer science education - SIGCSE '83, 1983Theoretical results have had much greater impact on computing practice than we are normally aware of, and the practical significance of theoretical results can be expected to become more prominent in the future. We discuss the past and present significance for data processing specialists of some results in analysis of algorithms, languages, and program
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2022
We report on a methodology to design a growth process of high-quality quasi-monocrystalline silicon ingot integrating experimental, theoretical, computational, and data sciences. First, the model of crystal growth simulation was validated by utilizing experimental data, and the resulting model was used to collect training data showing the relationship ...
Usami, N. +5 more
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We report on a methodology to design a growth process of high-quality quasi-monocrystalline silicon ingot integrating experimental, theoretical, computational, and data sciences. First, the model of crystal growth simulation was validated by utilizing experimental data, and the resulting model was used to collect training data showing the relationship ...
Usami, N. +5 more
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Software: Practice and Experience, 2019
SummaryWith the recent emergence of new paradigm, ie, open science and big data, the need for data sharing and collaboration is becoming important in the computational science field as well. The EDISON‐DATA platform aims to provide services that computational simulation data can easily published, preserved, shared, reused, discovered, and analyzed ...
Sunil Ahn +3 more
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SummaryWith the recent emergence of new paradigm, ie, open science and big data, the need for data sharing and collaboration is becoming important in the computational science field as well. The EDISON‐DATA platform aims to provide services that computational simulation data can easily published, preserved, shared, reused, discovered, and analyzed ...
Sunil Ahn +3 more
openaire +1 more source