Relevant bibliographies by topics / High performance computing

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'High performance computing'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "High performance computing"

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

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

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

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

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Blaheta, Radim, Ivan Georgiev, Krassimir Georgiev, et al. "High Performance Computing Applications." Cybernetics and Information Technologies 17, no. 5 (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 degre
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Lathrop, Scott, and Thomas Murphy. "High-Performance Computing Education." Computing in Science & Engineering 10, no. 5 (2008): 9–11. http://dx.doi.org/10.1109/mcse.2008.132.

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

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

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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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Dissertations / Theses on the topic "High performance computing"

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KHAN, OMAR USMAN. "High Performance Computing using GPGPU's." Doctoral thesis, Politecnico di Torino, 2013. http://hdl.handle.net/11583/2506369.

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Computer based simulation software having a basis in numerical methods play a major role in research in the area of natural and physical sciences. These tools allow scientists to attempt problems that are too large to solve using analytical methods. But even these tools can fail to give solutions due to computational or storage limits. However, as the performance of computer hardware gets better and better, the computational limits can be also addressed. One such area of work is that of magnetic field modeling, which plays a crucial role in various fields of research, especially those relate
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ROOZMEH, MEHDI. "High Performance Computing via High Level Synthesis." Doctoral thesis, Politecnico di Torino, 2018. http://hdl.handle.net/11583/2710706.

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As more and more powerful integrated circuits are appearing on the market, more and more applications, with very different requirements and workloads, are making use of the available computing power. This thesis is in particular devoted to High Performance Computing applications, where those trends are carried to the extreme. In this domain, the primary aspects to be taken into consideration are (1) performance (by definition) and (2) energy consumption (since operational costs dominate over procurement costs). These requirements can be satisfied more easily by deploying heterogeneous platfor
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Balakrishnan, Suresh Reuben A/L. "Hybrid High Performance Computing (HPC) + Cloud for Scientific Computing." Thesis, Curtin University, 2022. http://hdl.handle.net/20.500.11937/89123.

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The HPC+Cloud framework has been built to enable on-premise HPC jobs to use resources from cloud computing nodes. As part of designing the software framework, public cloud providers, namely Amazon AWS, Microsoft Azure and NeCTAR were benchmarked against one another, and Microsoft Azure was determined to be the most suitable cloud component in the proposed HPC+Cloud software framework. Finally, an HPC+Cloud cluster was built using the HPC+Cloud software framework and then was validated by conducting HPC processing benchmarks.
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Roberts, Stephen I. "Energy-aware performance engineering in high performance computing." Thesis, University of Warwick, 2017. http://wrap.warwick.ac.uk/107784/.

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Advances in processor design have delivered performance improvements for decades. As physical limits are reached, however, refinements to the same basic technologies are beginning to yield diminishing returns. Unsustainable increases in energy consumption are forcing hardware manufacturers to prioritise energy efficiency in their designs. Research suggests that software modifications will be needed to exploit the resulting improvements in current and future hardware. New tools are required to capitalise on this new class of optimisation. This thesis investigates the field of energy-aware perfo
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Palamadai, Natarajan Ekanathan. "Portable and productive high-performance computing." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/108988.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 115-120).<br>Performance portability of computer programs, and programmer productivity in writing them are key expectations in software engineering. These expectations lead to the following questions: Can programmers write code once, and execute it at optimal speed on any machine configuration? Can programmers write parallel code to simple models that hide the complex details of parallel pr
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Zhou, He. "High Performance Computing Architecture with Security." Diss., The University of Arizona, 2015. http://hdl.handle.net/10150/578611.

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Multi-processor embedded system is the future promise of high performance computing architecture. However, it still suffers low network efficiency and security threat. Simply upgrading to multi-core systems has been proven to provide only minor speedup compared with single core systems. Router architecture of network-on-chip (NoC) uses shared input buffers such as virtual channels and crossbar switches that only allow sequential data access. The speed and efficiency of on-chip communication is limited. In addition, the performance of conventional NoC topology is limited by routing latency and
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Mani, Sindhu. "Empirical Performance Analysis of High Performance Computing Benchmarks Across Variations in Cloud Computing." UNF Digital Commons, 2012. http://digitalcommons.unf.edu/etd/418.

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High Performance Computing (HPC) applications are data-intensive scientific software requiring significant CPU and data storage capabilities. Researchers have examined the performance of Amazon Elastic Compute Cloud (EC2) environment across several HPC benchmarks; however, an extensive HPC benchmark study and a comparison between Amazon EC2 and Windows Azure (Microsoft’s cloud computing platform), with metrics such as memory bandwidth, Input/Output (I/O) performance, and communication computational performance, are largely absent. The purpose of this study is to perform an exhaustive HPC bench
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Choi, Jee Whan. "Power and performance modeling for high-performance computing algorithms." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53561.

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The overarching goal of this thesis is to provide an algorithm-centric approach to analyzing the relationship between time, energy, and power. This research is aimed at algorithm designers and performance tuners so that they may be able to make decisions on how algorithms should be designed and tuned depending on whether the goal is to minimize time or to minimize energy on current and future systems. First, we present a simple analytical cost model for energy and power. Assuming a simple von Neumann architecture with a two-level memory hierarchy, this model pre- dicts energy and power for alg
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Ge, Rong. "Theories and Techniques for Efficient High-End Computing." Diss., Virginia Tech, 2007. http://hdl.handle.net/10919/28863.

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Today, power consumption costs supercomputer centers millions of dollars annually and the heat produced can reduce system reliability and availability. Achieving high performance while reducing power consumption is challenging since power and performance are inextricably interwoven; reducing power often results in degradation in performance. This thesis aims to address these challenges by providing theories, techniques, and tools to 1) accurately predict performance and improve it in systems with advanced hierarchical memories, 2) understand and evaluate power and its impacts on performance,
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Orobitg, Cortada Miquel. "High performance computing on biological sequence alignment." Doctoral thesis, Universitat de Lleida, 2013. http://hdl.handle.net/10803/110930.

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L'Alineament Múltiple de Seqüències (MSA) és una eina molt potent per a aplicacions biològiques importants. Els MSA són computacionalment complexos de calcular, i la majoria de les formulacions porten a problemes d'optimització NP-Hard. Per a dur a terme alineaments de milers de seqüències, nous desafiaments necessiten ser resolts per adaptar els algoritmes a l'era de la computació d'altes prestacions. En aquesta tesi es proposen tres aportacions diferents per resoldre algunes limitacions dels mètodes MSA. La primera proposta consisteix en un algoritme de construcció d'arbres guia per mill
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Books on the topic "High performance computing"

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Chamberlain, Bradford L., Ana-Lucia Varbanescu, Hatem Ltaief, and Piotr Luszczek, eds. High Performance Computing. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78713-4.

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Jagode, Heike, Hartwig Anzt, Hatem Ltaief, and Piotr Luszczek, eds. High Performance Computing. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-90539-2.

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Gitler, Isidoro, Carlos Jaime Barrios Hernández, and Esteban Meneses, eds. High Performance Computing. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04209-6.

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Varbanescu, Ana-Lucia, Abhinav Bhatele, Piotr Luszczek, and Baboulin Marc, eds. High Performance Computing. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-07312-0.

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Kunkel, Julian M., Rio Yokota, Michela Taufer, and John Shalf, eds. High Performance Computing. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67630-2.

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Zima, Hans P., Kazuki Joe, Mitsuhisa Sato, Yoshiki Seo, and Masaaki Shimasaki, eds. High Performance Computing. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-47847-7.

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Mocskos, Esteban, and Sergio Nesmachnow, eds. High Performance Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73353-1.

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Weiland, Michèle, Guido Juckeland, Sadaf Alam, and Heike Jagode, eds. High Performance Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34356-9.

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Kunkel, Julian M., Pavan Balaji, and Jack Dongarra, eds. High Performance Computing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41321-1.

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Valero, Mateo, Kazuki Joe, Masaru Kitsuregawa, and Hidehiko Tanaka, eds. High Performance Computing. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-39999-2.

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Book chapters on the topic "High performance computing"

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Conlan, Chris. "High-Performance Computing." In Automated Trading with R. Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-2178-5_6.

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Wang, Sun-Chong. "High Performance Computing." In Interdisciplinary Computing in Java Programming. Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0377-4_3.

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Dhillon, Vikram, David Metcalf, and Max Hooper. "High-Performance Computing." In Blockchain Enabled Applications. Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-6534-5_7.

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Anderson, Dale A., John C. Tannehill, Richard H. Pletcher, Munipalli Ramakanth, and Vijaya Shankar. "High-Performance Computing." In Computational Fluid Mechanics and Heat Transfer. CRC Press, 2020. http://dx.doi.org/10.1201/9781351124027-13.

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Danial, Albert. "High Performance Computing." In Python for MATLAB Development. Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-7223-7_14.

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Brieda, Lubos, Joseph Wang, and Robert Martin. "High-Performance Computing." In Introduction to Modern Scientific Programming and Numerical Methods. CRC Press, 2024. http://dx.doi.org/10.1201/9781003132233-9.

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Borkar, Pradnya, Sagarkumar Badhiye, Ujjwala Mandekar, Vijaya P. Balpande, Roshani Raut, and Pratik Agrawal. "High-Performance Computing." In Parallel and High-Performance Computing in Artificial Intelligence. Auerbach Publications, 2025. https://doi.org/10.1201/9781003425458-2.

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Nicole, Denis, Kenji Takeda, Ivan Wolton, and Simon Cox. "Southampton High Performance Computing Centre." In High-Performance Computing. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-4873-7_4.

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Keane, J. A. "High Performance Computing in Banking." In High-Performance Computing. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-4873-7_51.

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Chan, Fan, Jiannong Cao, and Minyi Guo. "ClusterGOP: A High-Level Programming Environment for Clusters." In High-Performance Computing. John Wiley & Sons, Inc., 2006. http://dx.doi.org/10.1002/0471732710.ch1.

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Conference papers on the topic "High performance computing"

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Joó, Bálint, Aaron Walden, Dhiraj D. Kalamkar, Thorsten Kurth, and Karthikeyan Vaidyanathan. "Optimizing Dirac Wilson Operator and linear solvers for Intel KNL." In ISC High Performance 2016: High Performance Computing. US DOE, 2016. http://dx.doi.org/10.2172/1988224.

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Stewart, Craig A., Christopher S. Peebles, Mary Papakhian, John Samuel, David Hart, and Stephen Simms. "High performance computing." In the 29th annual ACM SIGUCCS conference. ACM Press, 2001. http://dx.doi.org/10.1145/500956.501026.

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Shi, Xuan. "High performance computing." In the ACM SIGSPATIAL International Workshop. ACM Press, 2010. http://dx.doi.org/10.1145/1869692.1869698.

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Bauer, Michael A. "High performance computing." In the 2007 international workshop. ACM Press, 2007. http://dx.doi.org/10.1145/1278177.1278180.

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Verma, Anurag, Jennifer Huffman, Ali Torkamani, and Ravi Madduri. "HIGH-PERFORMANCE COMPUTING MEETS HIGH-PERFORMANCE MEDICINE." In Pacific Symposium on Biocomputing 2023. WORLD SCIENTIFIC, 2022. http://dx.doi.org/10.1142/9789811270611_0050.

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Benyo, K. "Neutral Atoms Quantum Computing in a High Performance Computing Environment - Current Trends and Applications." In Eighth EAGE High Performance Computing Workshop. European Association of Geoscientists & Engineers, 2024. https://doi.org/10.3997/2214-4609.2024636020.

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"High Performance Distributed Computing." In Proceedings. 13th IEEE International Symposium on High performance Distributed Computing, 2004. IEEE, 2004. http://dx.doi.org/10.1109/hpdc.2004.1323401.

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Sunderam, V., S. Y. Cheung, M. Hirsch, et al. "CCF: Collaborative Computing Frameworks." In SC98 - High Performance Networking and Computing Conference. IEEE, 1998. http://dx.doi.org/10.1109/sc.1998.10040.

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"3.1 High performance computing." In 2013 International Conference on Field-Programmable Technology (FPT). IEEE, 2013. http://dx.doi.org/10.1109/fpt.2013.6718354.

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Rooks, John W., and Richard Linderman. "High Performance Space Computing." In 2007 IEEE Aerospace Conference. IEEE, 2007. http://dx.doi.org/10.1109/aero.2007.352661.

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Reports on the topic "High performance computing"

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Aggour, Kareem S., Robert M. Mattheyses, Joseph Shultz, Brent H. Allen, and Michael Lapinski. Quantum Computing and High Performance Computing. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada462065.

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Townley, Judy, and Michael Karr. High Performance Computing Environments. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada337780.

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Birman, Kenneth, Daniel Freedman, Robert van Renesse, Hakim Weatherspoon, and Tudor Marian. High Performance Computing Multicast. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada557017.

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Browne, J. C., and G. J. Lipovski. High Performance Parallel Computing. Defense Technical Information Center, 1986. http://dx.doi.org/10.21236/ada169981.

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Guo, Yang. High-Performance Computing Security:. National Institute of Standards and Technology, 2024. http://dx.doi.org/10.6028/nist.sp.800-223.

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Green, Ronald Wayne. Vectorization for High Performance Computing. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1364565.

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Guo, Yang. High Performance Computing (HPC) Security:. National Institute of Standards and Technology, 2022. http://dx.doi.org/10.6028/nist.sp.800-223.ipd.

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Martinez, Jesse. High Performance Computing Network Overview. Office of Scientific and Technical Information (OSTI), 2023. http://dx.doi.org/10.2172/1974907.

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Killian, Edward. Advanced Computing Architectures for High Performance Computing Engineering Integration. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada522412.

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Ross, Virginia W., and Scott E. Spetka. Grid Computing for High Performance Computing (HPC) Data Centers. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada466685.

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