Results 261 to 270 of about 361,099 (313)

Stream processing in data-driven computational science

2006 7th IEEE/ACM International Conference on Grid Computing, 2006
The 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 0043, Nithya N. Vijayakumar, Beth Plale   +2 more
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EDISON‐DATA: A flexible and extensible platform for processing and analysis of computational science data

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, Jeongcheol Lee, Jaesung Kim, Jongsuk R. Lee   +3 more
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DATA PROCESSING NETWORK ARCHITECTURE FOR PARALLEL COMPUTING IN A HIGH-PERFORMANCE COMPLEX FOR MATERIALS SCIENCE PROBLEMS

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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Data processing and computer science theory

Proceedings of the fourteenth SIGCSE technical symposium on Computer science education - SIGCSE '83, 1983
Theoretical 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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Data processing and Computer Science graduates

Proceedings of the fifth SIGCSE technical symposium on Computer science education - SIGCSE '75, 1975
The 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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Process Mining as the Superglue Between Data Science and Enterprise Computing

2014 IEEE 18th International Enterprise Distributed Object Computing Conference, 2014
Process mining provides new ways to utilize the abundance of data in enterprises. Suddenly many organizations realize that survival is not possible without exploiting available data intelligently. A new profession is emerging: the data scientist. Just like computer science emerged as a new discipline from mathematics when computers became abundantly ...
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Workshop Report Computer Science, Engineering and Data Processing Curricula

Computer, 1978
Colleges and universities seek to respond to the manpower needs of industry, business, and government through continuing reappraisal of computer education. Reappraisal was the unifying theme at the Fourth Joint College Curricula Workshop in Computer Science, Engineering, and Data Processing.
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