Relevant bibliographies by topics / GRIND COMPUTING

Contents

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

Academic literature on the topic 'GRIND COMPUTING'

Author: Grafiati
Published: 11 September 2023

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Journal articles on the topic "GRIND COMPUTING"

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Zhang, Zhe Shan, Bin Yao, Xiang Lei Zhang, and Bo Shi Yao. "Accuracy Analysis of Grinding Indexable Inserts Related to the Centrifugal Force of High Speed Abrasive Wheel." Advanced Materials Research 422 (December 2011): 606–9. http://dx.doi.org/10.4028/www.scientific.net/amr.422.606.

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When grinding the carbide insert with the abrasive wheel at high rotating speed, the accuracy of inserts is impacted by the changed size of abrasive wheel by the centrifugal force. This paper proposes a computing model of grinding location for insert, and giving an analysis of dynamic simulation of the abrasive wheel at high rotating speed. The analysis showed which the diameter of wheel is enlarged, and its axial size is indented. According to the result, some geometrical parameters offsets were afforded to realize to grind inserts accurately in the CNC grinding machine tool.
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Liu, Jian Xin, Jian Jun Lv, and Ping Tan. "Research on Low Cost Automatic Polishing Machine for Die/Mold Manufacturing." Applied Mechanics and Materials 233 (November 2012): 177–80. http://dx.doi.org/10.4028/www.scientific.net/amm.233.177.

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In order to improve die/mold polishing worker’s environment and polishing automation level, we introduce a kind of low cost automatic polishing machine (LCAPM) with compliant actuator. The actuator is composed of a Tripod mechanism driven by pneumatic cylinders. Proportional valve is used to guarantee precision of cylinder’s position, and a 3D force sensor is used to adjust polishing contact force between grind stone tool and workpiece. Structure of LCAPM is described in detail; pneumatic control circuit and cylinder’s position are modeled in succession. Finally, a computing case of cylinder’s position for given workpiece is shown.
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Rakib, Abdur. "Grid Computing Introduction." Journal of Advances and Scholarly Researches in Allied Education 15, no. 5 (July 1, 2018): 140–44. http://dx.doi.org/10.29070/15/57603.

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Vachhani, Prof Milan Kantilal, and Dr Kishor H. Atkotiya. "Similarities and Contrast between Grid Computing and Cloud Computing." Indian Journal of Applied Research 3, no. 3 (October 1, 2011): 54–56. http://dx.doi.org/10.15373/2249555x/mar2013/19.

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Nwobodo, Ikechukwu. "Cloud Computing: A Detailed Relationship to Grid and Cluster Computing." International Journal of Future Computer and Communication 4, no. 2 (April 2015): 82–87. http://dx.doi.org/10.7763/ijfcc.2015.v4.361.

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S. Murali, S. Murali, C. B. Selvalakshmi C. B. Selvalakshmi, S. Padmadevi S. Padmadevi, and P. N. Karthikayan P. N. Karthikayan. "Data Mining Patters in Grid Computing." International Journal of Scientific Research 2, no. 3 (June 1, 2012): 137–38. http://dx.doi.org/10.15373/22778179/mar2013/43.

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Patel, Farheen. "Comparative Study of Grid and Cloud Computing." International Journal of Scientific Research 3, no. 7 (June 1, 2012): 80–81. http://dx.doi.org/10.15373/22778179/july2014/28.

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Kaur, Simranjeet. "Enhancing the Techniques to Secure Grid Computing." International Journal of Trend in Scientific Research and Development Volume-1, Issue-6 (October 31, 2017): 460–63. http://dx.doi.org/10.31142/ijtsrd2531.

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Sadiku, Matthew N. O., Adebowale E. Shadare, and Sarhan M. Musa. "Grid Computing." International Journal of Advanced Research in Computer Science and Software Engineering 7, no. 6 (June 30, 2017): 5–6. http://dx.doi.org/10.23956/ijarcsse/v7i6/01612.

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KISHIMOTO, Mitsuhiro, and Keisuke FUKUI. "Grid Computing." Journal of The Institute of Electrical Engineers of Japan 125, no. 7 (2005): 417–20. http://dx.doi.org/10.1541/ieejjournal.125.417.

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Dissertations / Theses on the topic "GRIND COMPUTING"

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Petersen, Karsten. "Grid Computing - Eine Einführung." Universitätsbibliothek Chemnitz, 2003. http://nbn-resolving.de/urn:nbn:de:swb:ch1-200301292.

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Morel, Matthieu. "Components for grid computing." Nice, 2006. http://www.theses.fr/2006NICE4086.

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This thesis aims at facilitating the design and deployment of distributed applications on Grids, using a component-based programming approach. The specific issues in Grid computing addressed by the proposal of this thesis are: complexity of design, deployment, flexibility and high performance. We propose and justify a component model and an implementation framework. Our component model grounds on the Fractal component model and the active object model, It takes advantage of, first, the hierarchical model, well defined semantics and extensibility of the Fractal model, and second, the identification of components as configurable activities. We define a deployment model based on the concept of virtual architectures, and we propose primitives for collective communications through the specification of collective interfaces. Collective interfaces handle data distribution, parallelism and synchronization of invocations. They establish a basis for defining complex interactions between multiple components. We realized an implementation of this model on top of the ProActive Grid middleware, therefore benefiting from underlying features of ProActive. We demonstrate the scalability and efficiency of the framework by developing and deploying on several hundred nodes a compute and communication-intensive application, and we take advantage of the collective interfaces to develop a component-based SPMD application with benchmarks
L’objectif de cette thèse est de faciliter la conception et le déploiement d’applications distribuées sur la Grille, en utilisant une approche orientée composants. Les problématiques du calcul sur grilles abordées dans notre proposition sont: la complexité de conception, le déploiement, la flexibilité et la performance. Nous proposons et justifions un modèle de composants et son implantation. Le modèle proposé repose sur le modèle de composants Fractal et sur le modèle des objets actifs. Il bénéficie d’une part, de la structure hiérarchique et de la définition précise du modèle Fractal, et d’autre part, de l’identification des composants comme activités configurables. Nous proposons un modèle de déploiement et nous spécifions un ensemble de primitives pour les communications collectives, grâce à la définition d’interfaces collectives. Les interfaces collectives permettent de gérer la distribution des données, le parallélisme et la synchronisation des invocations. Nous avons développé une implantation du modèle proposé avec l’intergiciel de grille ProActive. Le framework de composants bénéficie ainsi des fonctionnalités sous-jacentes offertes par l’intergiciel ProActive. Nous démontrons la capacité de passage à l’échelle et l’efficacité de notre framework en déployant sur plusieurs centaines de machines des applications intensives en termes de calcul et de communications. Nous mettons à profit les interfaces collectives pour développer une application SPMD à base de composants, dont nous évaluons les performances
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Avila, George Himer. "Constructing Covering Arrays using Parallel Computing and Grid Computing." Doctoral thesis, Universitat Politècnica de València, 2012. http://hdl.handle.net/10251/17027.

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A good strategy to test a software component involves the generation of the whole set of cases that participate in its operation. While testing only individual values may not be enough, exhaustive testing of all possible combinations is not always feasible. An alternative technique to accomplish this goal is called combinato- rial testing. Combinatorial testing is a method that can reduce cost and increase the effectiveness of software testing for many applications. It is based on con- structing functional test-suites of economical size, which provide coverage of the most prevalent configurations. Covering arrays are combinatorial objects, that have been applied to do functional tests of software components. The use of cov- ering arrays allows to test all the interactions, of a given size, among the input parameters using the minimum number of test cases. For software testing, the fundamental problem is finding a covering array with the minimum possible number of rows, thus reducing the number of tests, the cost, and the time expended on the software testing process. Because of the importance of the construction of (near) optimal covering arrays, much research has been carried out in developing effective methods for constructing them. There are several reported methods for constructing these combinatorial models, among them are: (1) algebraic methods, recursive methods, (3) greedy methods, and (4) metaheuristics methods. Metaheuristic methods, particularly through the application of simulated anneal- ing has provided the most accurate results in several instances to date. Simulated annealing algorithm is a general-purpose stochastic optimization method that has proved to be an effective tool for approximating globally optimal solutions to many optimization problems. However, one of the major drawbacks of the simulated an- nealing is the time it requires to obtain good solutions. In this thesis, we propose the development of an improved simulated annealing algorithm
Avila George, H. (2012). Constructing Covering Arrays using Parallel Computing and Grid Computing [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/17027
Palancia
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Copaja, Cornejo Richard Nivaldo. "Grid computing para propósitos científicos." Bachelor's thesis, Universidad Nacional Mayor de San Marcos, 2007. https://hdl.handle.net/20.500.12672/14091.

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La investigación busca enfatizar las bondades del Grid Computing en el desarrollo de proyectos de investigación científica. La evolución de las redes de comunicación de alta velocidad, ha creado un escenario idóneo para el desarrollo de esta tecnología que proporcionará funcionalidades análogas a las existentes en las redes de suministro eléctrico; es decir un único punto de acceso a un conjunto de recursos distribuidos geográficamente como supercomputadores, clusters, sistemas de almacenamiento, fuentes de información, instrumentos y personal. La tecnología Grid Computing actual ofrece la funcionalidad mínima necesaria para, de forma transparente y segura, compartir y explotar simultáneamente los recursos pertenecientes a diferentes organizaciones, respetando sus propias políticas y procedimientos de seguridad y gestión de recursos. La propuesta constituye una solución viable para la difusión y creación de un Grid universitario, a nivel de Lima-Metropolitana, en una primera etapa y en un futuro a nivel nacional. De esta forma se contribuirá en la elevación del nivel de las investigaciones científicas peruanas.
Trabajo de suficiencia profesional
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Wang, Lizhe. "Virtual environments for Grid computing." Karlsruhe : Universitätsverlag, 2008. http://digbib.ubka.uni-karlsruhe.de/volltexte/1000009892.

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Constantinescu-Fuløp, Zoran. "A Desktop Grid Computing Approach for Scientific Computing and Visualization." Doctoral thesis, Norwegian University of Science and Technology, Faculty of Information Technology, Mathematics and Electrical Engineering, 2008. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-2191.

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Scientific Computing is the collection of tools, techniques, and theories required to solve on a computer, mathematical models of problems from science and engineering, and its main goal is to gain insight in such problems. Generally, it is difficult to understand or communicate information from complex or large datasets generated by Scientific Computing methods and techniques (computational simulations, complex experiments, observational instruments etc.). Therefore, support of Scientific Visualization is needed, to provide the techniques, algorithms, and software tools needed to extract and display appropriately important information from numerical data.

Usually, complex computational and visualization algorithms require large amounts of computational power. The computing power of a single desktop computer is insufficient for running such complex algorithms, and, traditionally, large parallel supercomputers or dedicated clusters were used for this job. However, very high initial investments and maintenance costs limit the availability of such systems. A more convenient solution, which is becoming more and more popular, is based on the use of nondedicated desktop PCs in a Desktop Grid Computing environment. Harnessing idle CPU cycles, storage space and other resources of networked computers to work together on a particularly computational intensive application does this. Increasing power and communication bandwidth of desktop computers provides for this solution.

In a desktop grid system, the execution of an application is orchestrated by a central scheduler node, which distributes the tasks amongst the worker nodes and awaits workers’ results. An application only finishes when all tasks have been completed. The attractiveness of exploiting desktop grids is further reinforced by the fact that costs are highly distributed: every volunteer supports her resources (hardware, power costs and internet connections) while the benefited entity provides management infrastructures, namely network bandwidth, servers and management services, receiving in exchange a massive and otherwise unaffordable computing power. The usefulness of desktop grid computing is not limited to major high throughput public computing projects. Many institutions, ranging from academics to enterprises, hold vast number of desktop machines and could benefit from exploiting the idle cycles of their local machines.

In the work presented in this thesis, the central idea has been to provide a desktop grid computing framework and to prove its viability by testing it in some Scientific Computing and Visualization experiments. We present here QADPZ, an open source system for desktop grid computing that have been developed to meet the above presented needs. QADPZ enables users from a local network or Internet to share their resources. It is a multi-platform, heterogeneous system, where different computing resources from inside an organization can be used. It can be used also for volunteer computing, where the communication infrastructure is the Internet. QADPZ supports the following native operating systems: Linux, Windows, MacOS and Unix variants. The reason behind natively supporting multiple operating systems, and not only one (Unix or Windows, as other systems do), is that often, in real life, this kind of limitation restricts very much the usability of desktop grid computing.

QADPZ provides a flexible object-oriented software framework that makes it easy for programmers to write various applications, and for researchers to address issues such as adaptive parallelism, fault-tolerance, and scalability. The framework supports also the execution of legacy applications, which for different reasons could not be rewritten, and that makes it suitable for other domains as business. It also supports low-level programming languages as C/C++ or high-level language applications, (e.g. Lisp, Python, and Java), and provides the necessary mechanisms to use such applications in a computation. Consequently, users with various backgrounds can benefit from using QADPZ. The flexible object-oriented structure and the modularity allow facile improvements and further extensions to other programming languages.

We have developed a general-purpose runtime and an API to support new kinds of high performance computing applications, and therefore to benefit from the advantages offered by desktop grid computing. This API directly supports the C/C++ programming language. We have shown how distributed computing extends beyond the master-worker paradigm (typical for such systems) and provided QADPZ with an extended API that supports in addition lightweight tasks and parallel computing (using the message passing paradigm - MPI). This extends the range of applications that can be used to already existing MPI based applications - e.g. parallel numerical solvers used in computational science, or parallel visualization algorithms.

Another restriction of existing systems, especially middleware based, is that each resource provider needs to install a runtime module with administrator privileges. This poses some issues regarding data integrity and accessibility on providers computers. The QADPZ system tries to overcome this by allowing the middleware module to run as a non-privileged user, even with restricted access, to the local system.

QADPZ provides also low-level optimizations, such as on-the-fly compression and encryption for communication. The user can choose from different algorithms, depending on the application, improving both the communication overhead imposed by large data transfers and keeping privacy of the data. The system goes further, by providing an experimental, adaptive compression algorithm, which can transparently choose different algorithms to improve the application. QADPZ support two different protocols (UDP and TCP/IP) in order to improve the efficiency of communication.

Free source code allows its flexible installations and modifications based on the particular needs of research projects and institutions. In addition to being a very powerful tool for computationally intensive research, the open sourceness makes QADPZ a flexible educational platform for numerous smallsize student projects in the areas of operating systems, distributed systems, mobile agents, parallel algorithms, etc. Open source software is a natural choice for modern research as well, because it encourages effectively integration, cooperation and boosting of new ideas.

This thesis proposes also an improved conceptual model (based on the master-worker paradigm), which makes contributions in several directions: pull vs. push work-units, pipelining of work-units, more work-units sent at a time, adaptive number of workers, adaptive time-out interval for work-units, and multithreading. We have also demonstrated that the use of desktop grids should not be limited to only master-worker applications, but it can be used for more fine-grained parallel Scientific Computing and Visualization applications, by performing some specific experiments. This thesis makes supplementary contributions: a hierarchical taxonomy of the main existing desktop grids, and an adaptive compression algorithm for remote visualization. QADPZ has also pioneered autonomic computing approach for desktop grids and presents specific self-management features: self-knowledge, self-configuration, selfoptimization and self-healing. It is worth to mention that to the present the QADPZ has over a thousand users who have download it (since July, 2001 when it has been uploaded to sourceforge.net), and many of them use it for their daily tasks (see the appendix). Many of the results have been published or are in course of publishing as it can be seen from the references.

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Burgess, David A. "Parallel computing for unstructured mesh algorithms." Thesis, University of Oxford, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.318758.

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Koehler, Stephan. "Video Streams in a Computing Grid." Thesis, KTH, School of Information and Communication Technology (ICT), 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-24271.

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The growth of online video services such as YouTube enabled a new broadcasting medium for video. Similarly, consumer television is moving from analog to digital distribution of video content. Being able to manipulate the video stream by integrating a video or image overlay while streaming could enable a personalized video stream for each viewer. This master thesis explores the digital video domain to understand how streaming video can be efficiently modified, and designs and implements a prototype system for distributed video modification and streaming.

This thesis starts by examining standards and protocols related to video coding, formats and network distribution. To support multiple concurrent video streams to users, a distributed data and compute grid is used to create a scalable system for video streaming. Several (commercial) products are examined to find that GigaSpaces provides the optimal features for implementing the prototype. Furthermore third party libraries like libavcodec by FFMPEG and JBoss Netty are selected for respectively video coding and network streaming. The prototype design is then formulated including the design choices, the functionality in terms of user stories, the components that will make up the system and the flow of events in the system. Finally, the implementation is described followed by an evaluation of the fault tolerance, throughput, scalability and configuration. The evaluation shows that the prototype is fault tolerant and its throughput scales bothvertically and horizontally.

Intended audience

This thesis focuses on topics in the area of general computer science and network technology. It is therefore assumed that the reader has knowledge of basic concepts and techniques in these areas. More specifically this report focuses on topics related to digital video and distributed computer systems. Knowledge in these areas is helpful but not required.

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Polze, Andreas, and Bettina Schnor. "Grid-Computing : [Seminar im Sommersemester 2003]." Universität Potsdam, 2005. http://opus.kobv.de/ubp/volltexte/2009/3316/.

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1. Applikationen für weitverteiltes Rechnen Dennis Klemann, Lars Schmidt-Bielicke, Philipp Seuring 2. Das Globus-Toolkit Dietmar Bremser, Alexis Krepp, Tobias Rausch 3. Open Grid Services Architecture Lars Trieloff 4. Condor, Condor-G, Classad Stefan Henze, Kai Köhne 5. The Cactus Framework Thomas Hille, Martin Karlsch 6. High Performance Scheduler mit Maui/PBS Ole Weidner, Jörg Schummer, Benedikt Meuthrath 7. Bandbreiten-Monitoring mit NWS Alexander Ritter, Gregor Höfert 8. The Paradyn Parallel Performance Measurement Tool Jens Ulferts, Christian Liesegang 9. Grid-Applikationen in der Praxis Steffen Bach, Michael Blume, Helge Issel
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Cai, Wei. "Reconfigurable resource management in grid computing." Thesis, Lancaster University, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.507276.

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Books on the topic "GRIND COMPUTING"

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Barth, Thomas, and Anke Schüll, eds. Grid Computing. Wiesbaden: Vieweg, 2006. http://dx.doi.org/10.1007/978-3-8348-9101-3.

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Preve, Nikolaos P., ed. Grid Computing. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-676-4.

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Lin, Simon C., and Eric Yen, eds. Grid Computing. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-78417-5.

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Fey, Dietmar, ed. Grid-Computing. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-79747-0.

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Berman, Fran, Geoffrey Fox, and Tony Hey, eds. Grid Computing. Chichester, UK: John Wiley & Sons, Ltd, 2003. http://dx.doi.org/10.1002/0470867167.

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Dikaiakos, Marios D., ed. Grid Computing. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/b99982.

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Fernández Rivera, Francisco, Marian Bubak, Andrés Gómez Tato, and Ramón Doallo, eds. Grid Computing. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/b95647.

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Gorlatch, Sergei, Paraskevi Fragopoulou, and Thierry Priol, eds. Grid Computing. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-09457-1.

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Craig, Fellenstein, ed. Grid computing. Upper Saddle River, N.J: Prentice Hall Professional Technical Reference, 2004.

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Parashar, Manish, ed. Grid Computing — GRID 2002. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-36133-2.

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Book chapters on the topic "GRIND COMPUTING"

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Rosato, Antonio. "Grid Computing." In NMR of Biomolecules, 509–18. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2012. http://dx.doi.org/10.1002/9783527644506.ch31.

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Shekhar, Shashi, and Hui Xiong. "Grid Computing." In Encyclopedia of GIS, 419. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_551.

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Marten, Holger. "Grid Computing." In Disappearing Architecture, 42–50. Basel: Birkhäuser Basel, 2005. http://dx.doi.org/10.1007/3-7643-7674-0_5.

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Ali, Mohsin, Ke Meng, Zhaoyang Dong, and Pei Zhang. "Grid Computing." In Emerging Techniques in Power System Analysis, 95–115. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-04282-9_4.

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Baun, Christian, Günther Bengel, Marcel Kunze, and Karl-Uwe Stucky. "Grid-Computing." In Masterkurs Parallele und Verteilte Systeme, 447–57. Wiesbaden: Springer Fachmedien Wiesbaden, 2015. http://dx.doi.org/10.1007/978-3-8348-2151-5_11.

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Čibej, Uroš, Anthony Sulistio, and Rajkumar Buyya. "Grid Computing." In Parallel Computing, 117–45. London: Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-409-6_4.

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Taylor, Ian J., and Andrew B. Harrison. "Grid Computing." In From P2P and Grids to Services on the Web, 155–77. London: Springer London, 2009. http://dx.doi.org/10.1007/978-1-84800-123-7_9.

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Esposito, Alessandra. "Grid Computing." In Advances in Information Technologies for Electromagnetics, 55–68. Dordrecht: Springer Netherlands, 2006. http://dx.doi.org/10.1007/978-1-4020-4749-7_5.

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Evan Chang, Bor-Yuh, Karl Crary, Margaret DeLap, Robert Harper, Jason Liszka, Tom Murphy VII, and Frank Pfenning. "Trustless Grid Computing in ConCert." In Grid Computing — GRID 2002, 112–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-36133-2_11.

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Mauthe, Andreas, and Oliver Heckmann. "13. Distributed Computing – GRID Computing." In Peer-to-Peer Systems and Applications, 193–206. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11530657_13.

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Conference papers on the topic "GRIND COMPUTING"

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Wang, Chunyan, Guicheng Wang, Chungen Shen, and Jianfeng Yang. "Research status and development trend of grind-hardening surface integrity." In Second International Conference on Cloud Computing and Mechatronic Engineering (I3CME 2022), edited by Dhananjay Kumar and Na Li. SPIE, 2022. http://dx.doi.org/10.1117/12.2655019.

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Godse, L. S., Vispi Karkaria, P. B. Karandikar, and N. R. Kulkarni. "Innovative methods of ball milling to grind activated carbon as an electrode material for enhancing the performance of ultracapacitor." In 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS). IEEE, 2017. http://dx.doi.org/10.1109/icecds.2017.8389807.

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Foster, Ian. "Grid Computing." In ADVANCED COMPUTING AND ANALYSIS TECHNIQUES IN PHYSICS RESEARCH: VII International Workshop; ACAT 2000. AIP, 2001. http://dx.doi.org/10.1063/1.1405261.

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Greene, Darren W., Rahman Tashakkori, and Barry L. Kurtz. "Grid computing." In the 46th Annual Southeast Regional Conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1593105.1593235.

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Mehmood, R., J. Crowcroft, S. Hand, and S. Smith. "Grid-level computing needs pervasive debugging." In The 6th IEEE/ACM International Workshop on Grid Computing, 2005. IEEE, 2005. http://dx.doi.org/10.1109/grid.2005.1542741.

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Undheim, Astrid, Ameen Chilwan, and Poul Heegaard. "Differentiated Availability in Cloud Computing SLAs." In 2011 12th IEEE/ACM International Conference on Grid Computing (GRID). IEEE, 2011. http://dx.doi.org/10.1109/grid.2011.25.

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"Grid Computing Workshop 2005 Organizing Committee." In The 6th IEEE/ACM International Workshop on Grid Computing, 2005. IEEE, 2005. http://dx.doi.org/10.1109/grid.2005.1542711.

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Foster, Ian, Yong Zhao, Ioan Raicu, and Shiyong Lu. "Cloud Computing and Grid Computing 360-Degree Compared." In 2008 Grid Computing Environments Workshop. IEEE, 2008. http://dx.doi.org/10.1109/gce.2008.4738445.

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Chu, D. C., and M. Humphrey. "Mobile OGSI.NET: grid computing on mobile devices." In Proceedings. Fifth IEEE/ACM International Workshop on Grid Computing. IEEE, 2004. http://dx.doi.org/10.1109/grid.2004.44.

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"Proceedings. Fourth International Workshop on Grid Computing." In Proceedings. Fourth International Workshop on Grid Computing. IEEE, 2003. http://dx.doi.org/10.1109/grid.2003.1261691.

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Reports on the topic "GRIND COMPUTING"

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Steven Crumb. Grid Computing Education Support. Office of Scientific and Technical Information (OSTI), January 2008. http://dx.doi.org/10.2172/922233.

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

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Earl, Charles. Insightful Workflow For Grid Computing. Office of Scientific and Technical Information (OSTI), October 2008. http://dx.doi.org/10.2172/941421.

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Solomon, J. E., A. Barr, K. M. Chandy, W. A. ,. III Goddard, and C. Kesselman. High performance computing and communications grand challenges program. Office of Scientific and Technical Information (OSTI), October 1994. http://dx.doi.org/10.2172/378965.

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Rene, Schubert. Computing the Meridional Overturning Circulation from NEMO Output. GEOMAR, November 2021. http://dx.doi.org/10.3289/sw_3_2021.

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Abstract:
With this script, the Meridional Overturning Circulation (MOC) can be computed from NEMO ocean-model output for the whole globe or the Atlantic (AMOC), Indic (IMOC) and Pacific (PMOC) subbasins. The MOC is computable in z- and sigma coordinates. Moreover, for nested configurations, it is possible to combine data from both host and nest grids. Finally, it is possible to take into account of that the ORCA model grid is curvilinear north of 20°N: it is possible to compute the northward velocity component from the velocity field in x- and y- directions and to sum up the meridional flux over latitudional bands instead of in x-direction. When both steps are applied, the resulting MOC shows however strong variability in meridional direction. It needs to be clarified, whether this is realistic or not. The software is provided in the form of the jupyter notebook "MOC.ipynb" which includes more informations on the possibilites of the computations and an extensive appendix section with comparisons to computations with cdftools, as well as with details on the computation of the MOC including nest data and taking the curvilinearity of the grid into account. Necessary python modules are listed at the beginning of the document.
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Rana, Abhishek S. A Globally Distributed Grid Monitoring System to Facilitate High-Performance Computing at D0/SAM-Grid. Office of Scientific and Technical Information (OSTI), January 2002. http://dx.doi.org/10.2172/1421666.

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Harenberg, Torsten. AMANDA and D0 as a Test Environment for the LHC Computing Grid. Office of Scientific and Technical Information (OSTI), August 2005. http://dx.doi.org/10.2172/1369275.

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Harenberg, Torsten. AMANDA and D0 as a test environment for the LHC computing grid. Office of Scientific and Technical Information (OSTI), August 2005. http://dx.doi.org/10.2172/1155689.

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Woodruff, David L., and Jean-Paul Watson. Computing confidence intervals on solution costs for stochastic grid generation expansion problems. Office of Scientific and Technical Information (OSTI), December 2010. http://dx.doi.org/10.2172/1011614.

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Khaleel, Mohammad A. Scientific Grand Challenges: Forefront Questions in Nuclear Science and the Role of High Performance Computing. Office of Scientific and Technical Information (OSTI), October 2009. http://dx.doi.org/10.2172/968204.

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