Journal articles on the topic 'High performance computing'

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1

Bungartz, Hans-Joachim. "High-Performance Computing." it - Information Technology 55, no. 3 (June 2013): 83–85. http://dx.doi.org/10.1524/itit.2013.9003.

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2

Zier, Ulrich, and J. P. Morgan. "High-performance computing." Computers & Geosciences 27, no. 3 (April 2001): 369–70. http://dx.doi.org/10.1016/s0098-3004(00)00125-4.

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3

Marsh, P. "High performance horizons [high performance computing]." Computing and Control Engineering 15, no. 6 (December 1, 2004): 42–48. http://dx.doi.org/10.1049/cce:20040613.

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4

Benkrid, Khaled, Esam El-Araby, Miaoqing Huang, Kentaro Sano, and Thomas Steinke. "High-Performance Reconfigurable Computing." International Journal of Reconfigurable Computing 2012 (2012): 1–2. http://dx.doi.org/10.1155/2012/104963.

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5

Simons, Joshua E., and Jeffrey Buell. "Virtualizing high performance computing." ACM SIGOPS Operating Systems Review 44, no. 4 (December 13, 2010): 136–45. http://dx.doi.org/10.1145/1899928.1899946.

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6

Blaheta, Radim, Ivan Georgiev, Krassimir Georgiev, Ondrej Jakl, Roman Kohut, Svetozar Margenov, and Jiry Starý. "High Performance Computing Applications." Cybernetics and Information Technologies 17, no. 5 (December 20, 2017): 5–16. http://dx.doi.org/10.1515/cait-2017-0050.

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Abstract High Performance Computing (HPC) is required for many important applications in chemistry, computational fluid dynamics, etc., see, e.g., an overview in [1]. In this paper we shortly describe an application (a multiscale material design problem) that requires HPC for several reasons. The problem of interest is analysis of the fiber-reinforced concrete and we focus on modelling of stiffness through numerical homogenization and computing local material properties by inverse analysis. Both problems require a repeated solution of large-scale finite element problems up to 200 million degrees of freedom and therefore the importance of HPC computing is evident.
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7

Lathrop, Scott, and Thomas Murphy. "High-Performance Computing Education." Computing in Science & Engineering 10, no. 5 (September 2008): 9–11. http://dx.doi.org/10.1109/mcse.2008.132.

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8

Yang, Mei, Yingtao Jiang, Ling Wang, and Yulu Yang. "High performance computing architectures." Computers & Electrical Engineering 35, no. 6 (November 2009): 815–16. http://dx.doi.org/10.1016/j.compeleceng.2009.02.009.

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9

Mauch, Viktor, Marcel Kunze, and Marius Hillenbrand. "High performance cloud computing." Future Generation Computer Systems 29, no. 6 (August 2013): 1408–16. http://dx.doi.org/10.1016/j.future.2012.03.011.

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10

DEVITT, Simon J., William J. MUNRO, and Kae NEMOTO. "High performance quantum computing." Progress in Informatics, no. 8 (March 2011): 49. http://dx.doi.org/10.2201/niipi.2011.8.6.

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11

Chaudhry, S., P. Caprioli, S. Yip, and M. Tremblay. "High-Performance Throughput Computing." IEEE Micro 25, no. 3 (May 2005): 32–45. http://dx.doi.org/10.1109/mm.2005.49.

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12

Schryen, Guido, Natalia Kliewer, and Andreas Fink. "High Performance Business Computing." Business & Information Systems Engineering 62, no. 1 (November 11, 2019): 1–3. http://dx.doi.org/10.1007/s12599-019-00622-2.

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13

Murugan, Pradeep, Suraj Subramanian, and V. Pandarinathan Dr D. Rajinigirinath. "Using Docker for Containerization in High Performance Computing Applications." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (April 30, 2018): 2005–9. http://dx.doi.org/10.31142/ijtsrd11591.

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14

Tu, Wanqing, Florin Pop, Weijia Jia, Jie Wu, and Mauro Iacono. "High-Performance Computing in Edge Computing Networks." Journal of Parallel and Distributed Computing 123 (January 2019): 230. http://dx.doi.org/10.1016/j.jpdc.2018.10.014.

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15

Murphy, Tom. "High-Performance Computing in High Schools?" IEEE Distributed Systems Online 8, no. 8 (August 2007): 2. http://dx.doi.org/10.1109/mdso.2007.49.

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16

Fienen, Michael N., and Randall J. Hunt. "High-Throughput Computing Versus High-Performance Computing for Groundwater Applications." Groundwater 53, no. 2 (January 28, 2015): 180–84. http://dx.doi.org/10.1111/gwat.12320.

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17

S Kuldeep Kumar, Gowrishankar. "Smart Cabin Application on High Performance Computing Machine - AC Personalisation." International Journal of Science and Research (IJSR) 12, no. 7 (July 5, 2023): 916–21. http://dx.doi.org/10.21275/sr23710054300.

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18

Glinskiy, Boris, Nikolay Kuchin, Igor Chernykh, Yuriy Orlov, Nikolay Podkolodnyi, Vitaly Likhoshvai, and Nikolay Kolchanov. "Bioinformatics and High Performance Computing." Program Systems: Theory and Applications 6, no. 4 (2015): 99–112. http://dx.doi.org/10.25209/2079-3316-2015-6-4-99-112.

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19

Faulk, Stuart, John Gustafson, Philip Johnson, Adam Porter, Walter Tichy, and Lawrence Votta. "Measuring High Performance Computing Productivity." International Journal of High Performance Computing Applications 18, no. 4 (November 2004): 459–73. http://dx.doi.org/10.1177/1094342004048539.

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20

Kuck, David J. "Productivity in High Performance Computing." International Journal of High Performance Computing Applications 18, no. 4 (November 2004): 489–504. http://dx.doi.org/10.1177/1094342004048541.

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21

Yang, Xuejun. "Thoughts on high-performance computing." National Science Review 1, no. 3 (September 1, 2014): 332–33. http://dx.doi.org/10.1093/nsr/nwu002.

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22

Dursi, Jonathan, Leslie Groer, Daniel Gruner, Chris Loken, Scott Northrup, Seamus Ross, Randall Sobie, and Christopher Yip. "High Performance Computing Symposium (HPCS2010)." Journal of Physics: Conference Series 256 (November 23, 2010): 011001. http://dx.doi.org/10.1088/1742-6596/256/1/011001.

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23

Talon, Suzanne, Normand Mousseau, Gilles Peslherbe, François Bertrand, Pierre Gauthier, Lyes Kadem, Nicolas Moitessier, Guy Rouleau, and Rod Wittig. "High Performance Computing Symposium 2011." Journal of Physics: Conference Series 341 (February 9, 2012): 011001. http://dx.doi.org/10.1088/1742-6596/341/1/011001.

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24

Kindratenko, Volodymyr, Robert Wilhelmson, Robert Brunner, Todd J. Martïnez, and Wen-mei Hwu. "High-Performance Computing with Accelerators." Computing in Science & Engineering 12, no. 4 (July 2010): 12–16. http://dx.doi.org/10.1109/mcse.2010.88.

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25

Kindratenko, Volodymyr, and Pedro Trancoso. "Trends in High-Performance Computing." Computing in Science & Engineering 13, no. 3 (May 2011): 92–95. http://dx.doi.org/10.1109/mcse.2011.52.

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26

Haff, Gordon. "High Performance Computing Meets Databases." Computational Methods in Science and Technology Special Issue, no. 1 (2006): 71–74. http://dx.doi.org/10.12921/cmst.2006.si.01.71-74.

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27

Mergen, Mark F., Volkmar Uhlig, Orran Krieger, and Jimi Xenidis. "Virtualization for high-performance computing." ACM SIGOPS Operating Systems Review 40, no. 2 (April 2006): 8–11. http://dx.doi.org/10.1145/1131322.1131328.

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28

Karin, Sidney, and Susan Graham. "The high-performance computing continuum." Communications of the ACM 41, no. 11 (November 1998): 32–35. http://dx.doi.org/10.1145/287831.287837.

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29

Dongarra, J. "Trends in high - performance computing." IEEE Circuits and Devices Magazine 22, no. 1 (January 2006): 22–27. http://dx.doi.org/10.1109/mcd.2006.1598076.

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30

OHTSUBO, Hodeomi. "High Performance Computing in CAE." Transactions of the Japan Society of Mechanical Engineers Series A 62, no. 603 (1996): 2402–6. http://dx.doi.org/10.1299/kikaia.62.2402.

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31

Huang, Chun-Hsi, and Sanguthevar Rajasekaran. "High-performance parallel bio-computing." Parallel Computing 30, no. 9-10 (September 2004): 999–1000. http://dx.doi.org/10.1016/j.parco.2004.01.003.

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32

Feng, Wu-chun, and Dinesh Manocha. "High-performance computing using accelerators." Parallel Computing 33, no. 10-11 (November 2007): 645–47. http://dx.doi.org/10.1016/j.parco.2007.10.001.

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33

Camargo-Forero, Leonardo, Pablo Royo, and Xavier Prats. "Towards high performance robotic computing." Robotics and Autonomous Systems 107 (September 2018): 167–81. http://dx.doi.org/10.1016/j.robot.2018.05.011.

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34

Stevens, Rick. "High-performance computing and communications." Future Generation Computer Systems 10, no. 2-3 (June 1994): 159–67. http://dx.doi.org/10.1016/0167-739x(94)90014-0.

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35

Gentzsch, W. "High Performance Computing and Networking." Future Generation Computer Systems 11, no. 4-5 (August 1995): 347–49. http://dx.doi.org/10.1016/0167-739x(95)00005-d.

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36

Dongarra, J. "Trends in High Performance Computing." Computer Journal 47, no. 4 (April 1, 2004): 399–403. http://dx.doi.org/10.1093/comjnl/47.4.399.

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37

Ackerman, M. J. "High performance computing and communications." RadioGraphics 13, no. 5 (September 1993): 1129–30. http://dx.doi.org/10.1148/radiographics.13.5.8210594.

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38

Cho-Li Wang, P. B. Bhat, and V. K. Prasanna. "High-performance computing for vision." Proceedings of the IEEE 84, no. 7 (July 1996): 931–46. http://dx.doi.org/10.1109/5.503296.

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39

Marksteiner, Peter. "High-performance computing — an overview." Computer Physics Communications 97, no. 1-2 (August 1996): 16–35. http://dx.doi.org/10.1016/0010-4655(96)00018-5.

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40

Stöcker, Tony, Kaveh Vahedipour, Daniel Pflugfelder, and N. Jon Shah. "High-performance computing MRI simulations." Magnetic Resonance in Medicine 64, no. 1 (June 23, 2010): 186–93. http://dx.doi.org/10.1002/mrm.22406.

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41

Navaux, Philippe Olivier Alexandre, Arthur Francisco Lorenzon, and Matheus da Silva Serpa. "Challenges in High-Performance Computing." Journal of the Brazilian Computer Society 29, no. 1 (August 1, 2023): 51–62. http://dx.doi.org/10.5753/jbcs.2023.2219.

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High-Performance Computing, HPC, has become one of the most active computer science fields. Driven mainly by the need for high processing capabilities required by algorithms from many areas, such as Big Data, Artificial Intelligence, Data Science, and subjects related to chemistry, physics, and biology, the state-of-art algorithms from these fields are notoriously demanding computer resources. Therefore, choosing the right computer system to optimize their performance is paramount. This article presents the main challenges of future supercomputer systems, highlighting the areas that demand the most of HPC servers; the new architectures, including heterogeneous processors composed of artificial intelligence chips, quantum processors, the adoption of HPC on cloud servers; and the challenges of software developers when facing parallelizing applications. We also discuss challenges regarding non-functional requirements, such as energy consumption and resilience.
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42

Lewerenz, Marius, and Uwe Harms. "High Performance Computing in Chemistry." Journal of Molecular Modeling 4, no. 4 (April 28, 1998): 147–49. http://dx.doi.org/10.1007/s0089480040147.

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43

Guo, Minyi, and Jingling Xue. "Advances in high performance computing." Journal of Supercomputing 43, no. 2 (May 25, 2007): 105–6. http://dx.doi.org/10.1007/s11227-007-0127-3.

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44

Li, Keqiu, Geyong Min, Laurence Yang, and Yongquan Wei. "High performance computing and communications." Journal of Supercomputing 51, no. 2 (May 6, 2009): 95–96. http://dx.doi.org/10.1007/s11227-009-0298-1.

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45

S.Jadhav, Chaitali. "Survey on Parallel Computing and Performance Modelling in High Performance Computing." International Journal on Recent and Innovation Trends in Computing and Communication 3, no. 2 (2015): 890–94. http://dx.doi.org/10.17762/ijritcc2321-8169.150299.

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46

Obaidat, Mohammad S. "Performance evaluation of high performance computing/computers." Computers & Electrical Engineering 26, no. 3-4 (April 2000): 181–85. http://dx.doi.org/10.1016/s0045-7906(99)00040-3.

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47

Blum, T. "High energy physics from high performance computing." Journal of Physics: Conference Series 180 (July 1, 2009): 012066. http://dx.doi.org/10.1088/1742-6596/180/1/012066.

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48

Biryaltsev, Eugeniy Vasiljevich, Marat Razifovich Galimov, Denis Evgenievich Demidov, and Aleksandr Mikhailovich Elizarov. "The platform approach to research and development using high-performance computing." Program Systems: Theory and Applications 10, no. 2 (2019): 93–119. http://dx.doi.org/10.25209/2079-3316-2019-10-2-93-119.

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In this paper, we analyze the prerequisites and substantiate the relevance for creating an open Internet platform that employs big data technologies, highperformance computing, and multilateral markets in a unified way. Conceived as an ecosystem for the development and use of applied software (including in the field of design and scientific research), the platform should reduce time/costs and improve the quality of software development for solving analytical problems arising in industrial enterprises, scientific research organizations, state bodies and private individuals. The article presents a working prototype of the platform using supercomputer technologies and desktop virtualization systems.
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49

Dorronsoro, Bernabe, and Sergio Nesmachnow. "Parallel Soft Computing Techniques in High-Performance Computing Systems." Computer Journal 59, no. 6 (November 4, 2015): 775–76. http://dx.doi.org/10.1093/comjnl/bxv087.

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50

Alarcon, Sonia Lopez, and Anne C. Elster. "Quantum Computing and High-Performance Computing: Compilation Stack Similarities." Computing in Science & Engineering 24, no. 6 (November 2022): 66–71. http://dx.doi.org/10.1109/mcse.2023.3269645.

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