Relevant bibliographies by topics / Coded Computation

Contents

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

Academic literature on the topic 'Coded Computation'

Author: Grafiati
Published: 6 September 2023
Last updated: 25 July 2025

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Journal articles on the topic "Coded Computation"

1

Kim, Minchul, and Jungwoo Lee. "Private Secure Coded Computation." IEEE Communications Letters 23, no. 11 (2019): 1918–21. http://dx.doi.org/10.1109/lcomm.2019.2934436.

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Kosaian, Jack, K. V. Rashmi, and Shivaram Venkataraman. "Learning-Based Coded Computation." IEEE Journal on Selected Areas in Information Theory 1, no. 1 (2020): 227–36. http://dx.doi.org/10.1109/jsait.2020.2983165.

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Jia, Zhuqing, and Syed Ali Jafar. "Cross Subspace Alignment Codes for Coded Distributed Batch Computation." IEEE Transactions on Information Theory 67, no. 5 (2021): 2821–46. http://dx.doi.org/10.1109/tit.2021.3064827.

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Tian, Xiaolin. "Enhanced Distributed Computation for Machine Learning: Coded Strategies and Multidisciplinary Impact." ITM Web of Conferences 73 (2025): 03026. https://doi.org/10.1051/itmconf/20257303026.

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This article explores methods to accelerate distributed computation, focusing on its application in machine learning. It discusses two primary concepts: coded multiplication and data shuffling, along with a non-linear core to Random Access Memory (RAM) approach, presenting new avenues for future research. The challenges and future developments of coded computation in machine learning are examined, along with a general discussion on its applications across various scientific fields. The need for systems capable of handling massive data volumes has led to the adoption of large-scale distributed
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Reisizadeh, Amirhossein, Saurav Prakash, Ramtin Pedarsani, and Amir Salman Avestimehr. "Coded Computation Over Heterogeneous Clusters." IEEE Transactions on Information Theory 65, no. 7 (2019): 4227–42. http://dx.doi.org/10.1109/tit.2019.2904055.

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Yuan, Shijie. "Advancements in Coded Computation: Integrating Encoding Matrices with Data Shuffling for Enhanced Data Transmission Efficiency." ITM Web of Conferences 73 (2025): 03023. https://doi.org/10.1051/itmconf/20257303023.

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In the interconnected age of big data, cloud computing, and the Internet of Things, the demand for robust data processing and transmission systems is critical. This study delves into the fundamental principles, technological advantages, and applications of coded computation, emphasizing the integration of encoding matrices and data shuffling techniques. Encoding matrices enhance data reliability, fault tolerance, and security, reducing transmission and storage costs. Data shuffling techniques, by reordering data, decrease communication overhead and computational burden, thereby optimizing the
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Ozfatura, Emre, Sennur Ulukus, and Deniz Gündüz. "Straggler-Aware Distributed Learning: Communication–Computation Latency Trade-Off." Entropy 22, no. 5 (2020): 544. http://dx.doi.org/10.3390/e22050544.

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When gradient descent (GD) is scaled to many parallel workers for large-scale machine learning applications, its per-iteration computation time is limited by straggling workers. Straggling workers can be tolerated by assigning redundant computations and/or coding across data and computations, but in most existing schemes, each non-straggling worker transmits one message per iteration to the parameter server (PS) after completing all its computations. Imposing such a limitation results in two drawbacks: over-computation due to inaccurate prediction of the straggling behavior, and under-utilizat
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Chen, Li, Kaifeng Han, Ying Du, and Zhiqin Wang. "Block-Division-Based Wireless Coded Computation." IEEE Wireless Communications Letters 11, no. 2 (2022): 283–87. http://dx.doi.org/10.1109/lwc.2021.3125983.

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Obead, Sarah A., Hsuan-Yin Lin, Eirik Rosnes, and Jorg Kliewer. "Private Linear Computation for Noncolluding Coded Databases." IEEE Journal on Selected Areas in Communications 40, no. 3 (2022): 847–61. http://dx.doi.org/10.1109/jsac.2022.3142362.

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Hong, Sangwoo, Heecheol Yang, and Jungwoo Lee. "Squeezed Polynomial Codes: Communication-Efficient Coded Computation in Straggler-Exploiting Distributed Matrix Multiplication." IEEE Access 8 (2020): 190516–28. http://dx.doi.org/10.1109/access.2020.3031590.

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Dissertations / Theses on the topic "Coded Computation"

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Wang, Sinong. "Coded Computation for Speeding up Distributed Machine Learning." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1555336880521062.

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Chen, Yiqi. "Computation of Initial State for Tail-Biting Trellis." Ohio University / OhioLINK, 2005. http://www.ohiolink.edu/etd/view.cgi?ohiou1125026574.

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Chan, Siu Yan. "Efficient computation of weight enumerators and performance bounds for convolutionally coded systems in quasi-static fading channels /." View abstract or full-text, 2009. http://library.ust.hk/cgi/db/thesis.pl?ECED%202009%20CHANS.

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Veluri, Subrahmanya Pavan Kumar. "Code Verification and Numerical Accuracy Assessment for Finite Volume CFD Codes." Diss., Virginia Tech, 2010. http://hdl.handle.net/10919/28715.

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A detailed code verification study of an unstructured finite volume Computational Fluid Dynamics (CFD) code is performed. The Method of Manufactured Solutions is used to generate exact solutions for the Euler and Navier-Stokes equations to verify the correctness of the code through order of accuracy testing. The verification testing is performed on different mesh types which include triangular and quadrilateral elements in 2D and tetrahedral, prismatic, and hexahedral elements in 3D. The requirements of systematic mesh refinement are discussed, particularly in regards to unstructured meshes. D
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Ben, Hadj Fredj Abir. "Computations for the multiple access in wireless networks." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLT030.

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Les futures générations de réseaux sans fil posent beaucoup de défis pour la communauté de recherche. Notamment, ces réseaux doivent être en mesure de répondre, avec une certaine qualité de service, aux demandes d'un nombre important de personnes et d'objets connectés. Ce qui se traduit par des exigences assez importantes en termes de capacité. C'est dans ce cadre que les méthodes d'accès multiple non orthogonaux (NOMA) ont été introduit. Dans cette thèse, nous avons étudié et proposé une méthodes d'accès multiple basé sur la technique compute and forawrd et sur les réseaux de point (Lattice c
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Ben, Hadj Fredj Abir. "Computations for the multiple access in wireless networks." Electronic Thesis or Diss., Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLT030.

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Les futures générations de réseaux sans fil posent beaucoup de défis pour la communauté de recherche. Notamment, ces réseaux doivent être en mesure de répondre, avec une certaine qualité de service, aux demandes d'un nombre important de personnes et d'objets connectés. Ce qui se traduit par des exigences assez importantes en termes de capacité. C'est dans ce cadre que les méthodes d'accès multiple non orthogonaux (NOMA) ont été introduit. Dans cette thèse, nous avons étudié et proposé une méthodes d'accès multiple basé sur la technique compute and forawrd et sur les réseaux de point (Lattice c
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Zeng, Fanxuan. "Nonlinear codes: representation, constructions, minimum distance computation and decoding." Doctoral thesis, Universitat Autònoma de Barcelona, 2014. http://hdl.handle.net/10803/284241.

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Resum La teoria de codis estudia el disseny de codis correctors d'errors per a la transmisió fidedigne d'informació per un canal amb soroll. Un codi corrector d'errors (o simplement codi) es un proces que consisteix en expressar una seqüència d'elements sobre un alfabet de tal manera que qualsevol error que sigui introduït pot ser detactat i corregit (amb limitacions), i està basat en la tècnica d'afegir elements redundants. Aquest proces inclou la codifcació, la transmisió i la descodifcació de la seqüència d'elements. La majoria dels codis utilitzat són codis bloc i la majoria d'ells tenen
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Rodal, Morten. "Scalability of seismic codes on computational clusters." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2004. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9145.

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Cusdin, P. A. "Automatic sensitivity code for computational fluid dynamics." Thesis, Queen's University Belfast, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.431586.

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Hagen, Knut Imar. "Fault-tolerance for MPI Codes on Computational Clusters." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2007. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-8728.

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<p>This thesis focuses on fault-tolerance for MPI codes on computational clusters. When an application runs on a very large cluster with thousands of processors, there is likely that a process crashes due to a hardware or software failure. Fault-tolerance is the ability of a system to respond gracefully to an unexpected hardware or software failure. A test application which is meant to run for several weeks on several nodes is used in this thesis. The application is a seismic MPI application, written in Fortran90. This application was provided by Statoil, who wanted a fault-tolerant implement
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Books on the topic "Coded Computation"

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Fujii, Keisuke. Quantum Computation with Topological Codes. Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-287-996-7.

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Albuquerque, Clarice Dias de, Eduardo Brandani da Silva, and Waldir Silva Soares. Quantum Codes for Topological Quantum Computation. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06833-1.

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Parthasarathy, K. R. Lectures on quantum computation, quantum error: Correcting codes and information theory. Published for the Tata Institute of Fundamental Research [by] Narosa Pub. House, 2006.

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Justesen, Jorn. A course in error-correcting codes. European Mathematical Society, 2004.

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Wigton, L. B. GMRES acceleration of computational fluid dynamics codes. AIAA, 1985.

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XambØ-Descamps, S. Block error-correcting codes: A computational primer. Springer, 2002.

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Lin, Shu. Trellises and trellis-based decoding algorithms for linear block codes. National Aeronautics and Space Administration, 1998.

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Lin, Shu. Trellises and trellis-based decoding algorithms for linear block codes. National Aeronautics and Space Administration, 1998.

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Lin, Shu. Trellises and trellis-based decoding algorithms for linear block codes. National Aeronautics and Space Administration, 1998.

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Marc, Fossorier, and United States. National Aeronautics and Space Administration., eds. Trellises and trellis-based decoding algorithms for linear block codes. National Aeronautics and Space Administration, 1998.

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Book chapters on the topic "Coded Computation"

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Barendregt, Henk. "Discriminating Coded Lambda Terms." In Logic, Meaning and Computation. Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-010-0526-5_12.

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Korejo, Imtiaz, Shengxiang Yang, and Changhe Li. "A Directed Mutation Operator for Real Coded Genetic Algorithms." In Applications of Evolutionary Computation. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12239-2_51.

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Wang, Lin, Yuchong Hu, Yuxue Liu, Renzhi Xiao, and Dan Feng. "Asymmetric Coded Distributed Computation for Resilient Prediction Serving Systems." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-69766-1_33.

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Drake, Stephen. "Uniform Crossover Revisited: Maximum Disruption in Real-Coded GAs." In Genetic and Evolutionary Computation — GECCO 2003. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-45110-2_32.

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Datta, Dilip, and José Rui Figueira. "A Real-Integer-Discrete-Coded Differential Evolution Algorithm: A Preliminary Study." In Evolutionary Computation in Combinatorial Optimization. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12139-5_4.

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Tezuka, Masaru, Masaharu Munetomo, and Kiyoshi Akama. "Linkage Identification by Nonlinearity Check for Real-Coded Genetic Algorithms." In Genetic and Evolutionary Computation – GECCO 2004. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24855-2_20.

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Bazargani, Mosab, Luís Mateus, and Maria Amélia R. Loja. "Planar Surfaces Recognition in 3D Point Cloud Using a Real-Coded Multistage Genetic Algorithm." In Applications of Evolutionary Computation. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16549-3_43.

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Giacobini, Mario, Mike Preuss, and Marco Tomassini. "Effects of Scale-Free and Small-World Topologies on Binary Coded Self-adaptive CEA." In Evolutionary Computation in Combinatorial Optimization. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11730095_8.

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Park, Sung-Joon, and Masayuki Yamamura. "Real-Coded Genetic Algorithm to Reveal Biological Significant Sites of Remotely Homologous Proteins." In Genetic and Evolutionary Computation — GECCO 2003. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-45110-2_45.

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Ahn, Chang Wook, R. S. Ramakrishna, and David E. Goldberg. "Real-Coded Bayesian Optimization Algorithm: Bringing the Strength of BOA into the Continuous World." In Genetic and Evolutionary Computation – GECCO 2004. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24854-5_86.

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Conference papers on the topic "Coded Computation"

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Cheng, Shiying, Yuxuan Lin, and Bin Tang. "Deadline-aware Load Allocation for Coded Computation over Heterogeneous Clusters." In 2024 5th International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE). IEEE, 2024. http://dx.doi.org/10.1109/icbase63199.2024.10762418.

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Yang, Haichuan, Yifei Yang, Yuxin Zhang, Cheng Tang, Koichi Hashimoto, and Yuichi Nagata. "Chaotic Map-Coded Evolutionary Algorithms for Dendritic Neuron Model Optimization." In 2024 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2024. http://dx.doi.org/10.1109/cec60901.2024.10612087.

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Wang, Haoyu, Yiyu Liu, Chunhui Xu, Xing Liu, and Ming Tang. "Non-Linear Coded Computation for Distributed CNN Inference: A Learning-based Approach." In 2024 IEEE 44th International Conference on Distributed Computing Systems Workshops (ICDCSW). IEEE, 2024. http://dx.doi.org/10.1109/icdcsw63686.2024.00027.

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Mascarenhas, Alexandre, Yuta Kobayashi, and Claus Aranha. "Novel Genotypic Diversity Metrics for Real-Coded Optimization on Multi-Modal Problems." In 2024 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2024. http://dx.doi.org/10.1109/cec60901.2024.10611897.

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Fang, Borui, Li Chen, and Weidong Wang. "Merged-r Luby Transform Coded Computation for Non-Linear Tasks in Wireless Networks." In 2024 16th International Conference on Wireless Communications and Signal Processing (WCSP). IEEE, 2024. https://doi.org/10.1109/wcsp62071.2024.10827212.

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Yosibash, Royee, and Ram Zamir. "Frame Codes For Distributed Coded Computation." In 2021 11th International Symposium on Topics in Coding (ISTC). IEEE, 2021. http://dx.doi.org/10.1109/istc49272.2021.9594259.

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Ferdinand, Nuwan, and Stark C. Draper. "Hierarchical Coded Computation." In 2018 IEEE International Symposium on Information Theory (ISIT). IEEE, 2018. http://dx.doi.org/10.1109/isit.2018.8437473.

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Kim, Minchul, and Jungwoo Lee. "Private Secure Coded Computation." In 2019 IEEE International Symposium on Information Theory (ISIT). IEEE, 2019. http://dx.doi.org/10.1109/isit.2019.8849252.

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Das, Anindya B., Li Tang, and Aditya Ramamoorthy. "C3LES: Codes for Coded Computation that Leverage Stragglers." In 2018 IEEE Information Theory Workshop (ITW). IEEE, 2018. http://dx.doi.org/10.1109/itw.2018.8613321.

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Rachlin, Eric, and John E. Savage. "A framework for coded computation." In 2008 IEEE International Symposium on Information Theory - ISIT. IEEE, 2008. http://dx.doi.org/10.1109/isit.2008.4595409.

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Reports on the topic "Coded Computation"

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Hill, C. Summary Report of the 7th Biennial Technical Meeting of the Code Centres Network of the International Atomic and Molecular Code Centres Network: Database Services for Radiation Damage in Nuclear Materials. IAEA Nuclear Data Section, 2021. http://dx.doi.org/10.61092/iaea.25ex-cn8n.

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The International Code Centres Network (CCN) is a group of experts developing codes and models for atomic, molecular and plasma-surface interaction data relevant to fusion applications. Variable subsets of the group are brought together by the IAEA Atomic and Molecular Data (AMD) Unit in order to discuss computational and scientific issues associated with code developments. At the 7th Technical Meeting described in this report, which was held virtually from 18 – 20 October 2021, 18 experts in the field of Density Functional Theory (DFT) and Molecular Dynamics (MD) simulations of radiation dama
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Hill, Christian. International Atomic and Molecular Code Centres Network: Virtual Atomic and Molecular Data Centres Consortium Annual Meeting. International Atomic Energy Agency, 2023. http://dx.doi.org/10.61092/iaea.s57n-ra6p.

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The International Code Centres Network (CCN) is a group of experts developing codes and models for atomic, molecular and plasma-surface interaction data relevant to fusion applications. Variable subsets of the group are brought together by the IAEA Atomic and Molecular Data (AMD) Unit in order to discuss computational and scientific issues associated with code developments. At the 8th Technical Meeting described in this report, which was held virtually from 15 – 17 November 2023, 31 experts in the field of atomic and molecular physics met, representing 23 databases within the Virtual Atomic an
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Hill, Christian. International Atomic and Molecular Code Centres Network: Database Services for Radiation Damage in Nuclear Materials. IAEA Nuclear Data Section, 2020. http://dx.doi.org/10.61092/iaea.agtk-r4gy.

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The International Code Centres Network (CCN) is a group of experts developing codes and models for atomic, molecular and plasma-surface interaction data relevant to fusion applications. Variable subsets of the group are brought together by the IAEA Atomic and Molecular Data (AMD) Unit in order to discuss computational and scientific issues associated with code developments. At the 6th Technical Meeting described in this report, 11 experts in the field of Molecular Dynamics (MD) simulations of radiation damage reviewed CascadesDB, a database of atomic configurations generated by MD simulations
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Gleich, David, and Ananth Grama. Current possibilities and future opportunities for erasure coded computations. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1734624.

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Grebennikov, A. N., A. K. Zhitnik, and O. A. Zvenigorodskaya. Results of comparative RBMK neutron computation using VNIIEF codes (cell computation, 3D statics, 3D kinetics). Final report. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/219464.

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Batra, Romesh C. Computations for Truck Sliding with TRUCK 3.1 Code. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada212270.

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Haehnel, Robert, Yonghu Wenren, and Luke Allen. SAGE-PEDD theory manual : modeling windblown snow deposition around buildings. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/44942.

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Numerical modeling of snowdrifting is a useful tool for assessing the impact of building design on operations and facility maintenance. Here we outline the theory for the SAGE-PEDD snowdrift model that has application for determining snowdrift accumulation around buildings. This model uses the SAGE computational fluid dynamics code to determine the flow field in the computational domain. A particle entrainment, dispersion, and deposition (PEDD) model is coupled to SAGE to simulate the movement and deposition of the snow within the computational domain. The report also outlines areas of future
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Aeschliman, D. P., and W. L. Oberkampf. Experimental methodology for computational fluid dynamics code validation. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/563720.

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Tsagris, Michail. Efficient Programming Using R (Free Seminar). Instats Inc., 2024. http://dx.doi.org/10.61700/c9kqzt2u6kzyp1643.

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This one-day seminar delves into efficient programming techniques in R for advanced data analysis, focusing on optimizing code, enhancing computational speed, and ensuring reproducible research practices. Participants will gain practical skills beneficial for diverse fields, improving both the precision and impact of their analytical work.
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Van Buren, Kendra L., Jesse M. Canfield, Francois M. Hemez, and Jeremy A. Sauer. Code Verification of the HIGRAD Computational Fluid Dynamics Solver. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1040022.

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