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1

Rodríguez-Ezpeleta, Naiara, Michael Hackenberg, and Ana M. Aransay. Bioinformatics for high throughput sequencing. New York, NY: Springer, 2012.

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2

Geurts, Werner, Francky Catthoor, Serge Vernalde, and Hugo de Man. Accelerator Data-Path Synthesis for High-Throughput Signal Processing Applications. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4419-8720-4.

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3

library, Wiley online, ed. Systems biology in psychiatric research: From high-throughput data to mathematical modeling. Weinheim: Wiley-VCH, 2010.

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4

Introduction to clustering large and high-dimensional data. Cambridge: Cambridge University Press, 2007.

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5

Yang, Po-sŏk. Twaeji yujŏnch'e taeryang yŏmgi sŏyŏl punsŏk mit yuyong yujŏnja palgul =: High-throughput DNA sequence analysis and identification of trait genes in pigs. [Kyŏnggi-do Suwŏn-si]: Nongch'on Chinhŭngch'ŏng, 2009.

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6

J, Franklin Michael. Client Data Caching: A Foundation for High Performance Object Database Systems. Boston, MA: Springer US, 1996.

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7

Rishe, Naphtali. Storage and visualization of spatial data in a high-performance semantic database system: Technical report #95-15. [Washington, DC: National Aeronautics and Space Administration, 1995.

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8

James, Quinn. High-tech handicapping in the information age: An information management approach to the thoroughbreds. New York: W. Morrow, 1986.

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9

Data-intensive computing: Architectures, algorithms, and applications. Cambridge: Cambridge University Press, 2013.

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10

Policy Research Project on Improving Postsecondary Education and Labor Market Transitions for Central Texas High School Students, ed. Beyond the numbers: Improving postsecondary success through a central Texas high school data center. Austin, TX: Lyndon B. Johnson School of Public Affairs, University of Texas at Austin, 2006.

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11

Grigor'ev, Anatoliy, Evgeniy Isaev, and Pavel Tarasov. Transfer, storage and processing of large volumes of scientific data. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1073525.

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The textbook examines large scientific projects and the amount of data generated by them, and provides an overview of scientific computer networks that allow high-speed transmission of large amounts of data for these projects. The article considers the computing systems offered by the leading manufacturers of computer equipment for processing large amounts of data and providing both the possibilities of storing large amounts of data, including distributed data, and the means of analytics and parallel data processing in real time. Special attention is paid to the security of the transmitted scientific information. Meets the requirements of the federal state educational standards of higher education of the latest generation. For students of technical specialties of bachelor's degree, master's degree, specialty, studying in the areas of "Applied Mathematics and Computer Science", "Business Computer Science" and "Computer Science and Computer Engineering".
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12

A, Gallivan Kyle, Gallopoulos Efstratios, Grama Ananth, Philippe Bernard, Saad Yousef, Saied Faisal, and SpringerLink (Online service), eds. High-Performance Scientific Computing: Algorithms and Applications. London: Springer London, 2012.

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13

Le renseignement high-tech: Espionnage & guerre électronique. Magny-Les-Hameaux: Chiron, 2010.

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14

Armando, Escalante, and SpringerLink (Online service), eds. Handbook of Data Intensive Computing. New York, NY: Springer Science+Business Media, LLC, 2011.

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15

service), SpringerLink (Online, ed. High Performance Networking, Computing, and Communication Systems: Second International Conference, ICHCC 2011, Singapore, May 5-6, 2011. Selected Papers. Berlin, Heidelberg: Springer-Verlag GmbH Berlin Heidelberg, 2011.

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16

Suman, Nandi, Kumar Gaurav, Kumar Sandeep, and SpringerLink (Online service), eds. High Performance Architecture and Grid Computing: International Conference, HPAGC 2011, Chandigarh, India, July 19-20, 2011. Proceedings. Berlin, Heidelberg: Springer-Verlag GmbH Berlin Heidelberg, 2011.

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17

Kay, Montgomery Paula, ed. Beyond the book: Technology integration into the secondary school library media curriculum. Englewood, Colo: Libraries Unlimited, 2000.

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18

Lytras, Miltiadis D. Technology Enhanced Learning. Quality of Teaching and Educational Reform: First International Conference, TECH-EDUCATION 2010, Athens, Greece, May 19-21, 2010. Proceedings. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2010.

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19

Rodríguez-Ezpeleta, Naiara, Ana M. Aransay, and Michael Hackenberg. Bioinformatics for High Throughput Sequencing. Springer, 2014.

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20

Song, Yanlin, and Daoben Zhu. High Density Data Storage. WORLD SCIENTIFIC, 2009. http://dx.doi.org/10.1142/7014.

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21

A, Ravishankar Rao, and Cecchi Guillermo A, eds. High-throughput image reconstruction and analysis. Norwood, MA: Artech House, 2009.

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22

Werner, Geurts, ed. Accelerator data-path synthesis for high-throughput signal processing applications. Dordrecht: Kluwer Academic Publishers, 1997.

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23

Accelerator Data-Path Synthesis for High-Throughput Signal Processing Applications. Boston, MA: Springer US, 1997.

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24

Catthoor, Francky, Hugo De Man, Werner Geurts, and Serge Vernalde. Accelerator Data-Path Synthesis for High-Throughput Signal Processing Applications. Springer, 1996.

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25

Yanlin, Song, and Zhu Daoben, eds. High density data storage: Principle, technology, and materials. Singapore: World Scientific, 2009.

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26

Advances in Statistical Bioinformatics: Models and Integrative Inference for High-Throughput Data. University of Cambridge ESOL Examinations, 2013.

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27

High volume data storage architecture analysis: Final report. San Antonio, Tex: Southwest Research Institute, 1990.

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28

Zhang, Xiaohua Douglas. Optimal High-Throughput Screening: Practical Experimental Design and Data Analysis for Genome-Scale RNAi Research. Cambridge University Press, 2011.

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29

International Union of Pure and Applied Chemistry (Corporate Author) and P. W. Erhardt (Editor), eds. Drug Metabolism: Databases and High-Throughput Testing During Drug Design and Development (IUPAC Chemical Data). Blackwell Science Inc, 1999.

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30

Deep Sequencing Data Analysis. Humana Press Inc., 2013.

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31

Shomron, Noam. Deep Sequencing Data Analysis. Springer, 2020.

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32

Yŏnʼguwŏn, Hanʼguk Chŏnja Tʻongsin, and Korea (South) Chŏngbo Tʻongsinbu, eds. Chʻo sohyŏng chʻo taeyongnyang mobail chŏjang changchʻi =: Small form factor high density mobile data storage. [Seoul]: Chŏngbo Tʻongsinbu, 2006.

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33

Optimal Highthroughput Screening Practical Experimental Design And Data Analysis For Genomescale Rnai Research. Cambridge University Press, 2011.

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34

Research, Trillium, ed. Remus: High-speed, reliable data storage software for the Mac : user's guide. Trillium Research, 1995.

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35

Kogan, Jacob. Introduction to Clustering Large and High-Dimensional Data. Cambridge University Press, 2006.

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36

Introduction to Clustering Large and High-Dimensional Data. Cambridge University Press, 2006.

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37

Kogan, Jacob. Introduction to Clustering Large and High-Dimensional Data. Cambridge University Press, 2006.

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38

A sophisticated, multi-channel data acquisition and processing system for high frequency noise research. [Washington, DC]: National Aeronautics and Space Administration, 1992.

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39

James, Bridges, and United States. National Aeronautics and Space Administration., eds. A sophisticated, multi-channel data acquisition and processing system for high frequency noise research. [Washington, DC]: National Aeronautics and Space Administration, 1992.

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40

James, Bridges, and United States. National Aeronautics and Space Administration., eds. A sophisticated, multi-channel data acquisition and processing system for high frequency noise research. [Washington, DC]: National Aeronautics and Space Administration, 1992.

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41

A, Schwarz Ted, Francis Martin, and Society of Photo-optical Instrumentation Engineers., eds. High-density data recording and retrieval technologies: 23-24 October 1995, Philadelphia, Pennsylvania. Bellingham, Wash: SPIE, 1996.

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42

Kraemer, Darren. Ultra-high density optical data storage: Information retrieval an order of magnitude beyond the Rayleigh limit. 2002, 2002.

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43

Meier, Dennis, Jan Seidel, Marty Gregg, and Ramamoorthy Ramesh. Domain Walls. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198862499.001.0001.

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Technological evolution and revolution are both driven by the discovery of new functionalities, new materials and the design of yet smaller, faster, and more energy-efficient components. Progress is being made at a breathtaking pace, stimulated by the rapidly growing demand for more powerful and readily available information technology. High-speed internet and data-streaming, home automation, tablets and smartphones are now ‘necessities’ for our everyday lives. Consumer expectations for progressively more data storage and exchange appear to be insatiable. In this context, ferroic domain walls have attracted recent attention as a completely new type of oxide interface. In addition to their functional properties, such walls are spatially mobile and can be created, moved, and erased on demand. This unique degree of flexibility enables domain walls to take an active role in future devices and hold a great potential as multifunctional 2D systems for nanoelectronics. With domain walls as reconfigurable electronic 2D components, a new generation of adaptive nano-technology and flexible circuitry becomes possible, that can be altered and upgraded throughout the lifetime of the device. Thus, what started out as fundamental research, at the limit of accessibility, is finally maturing into a promising concept for next-generation technology.
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44

Low-level interfaces for high-level parallel I/O. [Washington, D.C: National Aeronautics and Space Administration, 1995.

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45

David, Kotz, and United States. National Aeronautics and Space Administration., eds. Low-level interfaces for high-level parallel I/O. [Washington, D.C: National Aeronautics and Space Administration, 1995.

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46

Low-level interfaces for high-level parallel I/O. [Washington, D.C: National Aeronautics and Space Administration, 1995.

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47

Berry, Michael W., Efstratios Gallopoulos, and Kyle A. Gallivan. High-Performance Scientific Computing. Springer, 2012.

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48

Storage and visualization of spatial data in a high-performance semantic database system: Technical report #95-15. [Washington, DC: National Aeronautics and Space Administration, 1995.

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49

Furht, Borko, and Armando Escalante. Handbook of Data Intensive Computing. Springer, 2011.

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50

Wu, Yanwen. High Performance Networking, Computing, and Communication Systems: Second International Conference ICHCC 2011, Singapore, May 5-6, 2011, Selected Papers. Springer, 2012.

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