Relevant bibliographies by topics / Massive parallel computers

Contents

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

Academic literature on the topic 'Massive parallel computers'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 February 2022

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Journal articles on the topic "Massive parallel computers"

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Taghipour, Hassan, Mahdi Rezaei, and Heydar Ali Esmaili. "Solving the 0/1 Knapsack Problem by a Biomolecular DNA Computer." Advances in Bioinformatics 2013 (February 18, 2013): 1–6. http://dx.doi.org/10.1155/2013/341419.

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Solving some mathematical problems such as NP-complete problems by conventional silicon-based computers is problematic and takes so long time. DNA computing is an alternative method of computing which uses DNA molecules for computing purposes. DNA computers have massive degrees of parallel processing capability. The massive parallel processing characteristic of DNA computers is of particular interest in solving NP-complete and hard combinatorial problems. NP-complete problems such as knapsack problem and other hard combinatorial problems can be easily solved by DNA computers in a very short pe
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Sterkenburgh, Tomas, Rolf Michael Michels, Peter Dress, and Hilmar Franke. "Explicit finite-difference simulation of optical integrated devices on massive parallel computers." Applied Optics 36, no. 6 (1997): 1191. http://dx.doi.org/10.1364/ao.36.001191.

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Ivancova, Olga, Vladimir Korenkov, Olga Tyatyushkina, Sergey Ulyanov, and Toshio Fukuda. "Quantum supremacy in end-to-end intelligent IT. PT. III. Quantum software engineering – quantum approximate optimization algorithm on small quantum processors." System Analysis in Science and Education, no. 2 (2020) (June 30, 2020): 115–76. http://dx.doi.org/10.37005/2071-9612-2020-2-115-176.

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Principles and methodologies of quantum algorithmic gate-based design on small quantum computer described. The possibilities of quantum algorithmic gates simulation on classical computers discussed. A new approach to a circuit implementation design of quantum algorithm gates for fast quantum massive parallel computing presented. SW & HW support sophisticated smart toolkit of supercomputing accelerator of quantum algorithm simulation on small quantum programmable computer algorithm gate (that can program in SW to implement arbitrary quantum algorithms by executing any sequence of universal
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Ji, Yunhong, Yunpeng Chai, Xuan Zhou, Lipeng Ren, and Yajie Qin. "Smart Intra-query Fault Tolerance for Massive Parallel Processing Databases." Data Science and Engineering 5, no. 1 (2019): 65–79. http://dx.doi.org/10.1007/s41019-019-00114-z.

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AbstractIntra-query fault tolerance has increasingly been a concern for online analytical processing, as more and more enterprises migrate data analytical systems from mainframes to commodity computers. Most massive parallel processing (MPP) databases do not support intra-query fault tolerance. They may suffer from prolonged query latency when running on unreliable commodity clusters. While SQL-on-Hadoop systems can utilize the fault tolerance support of low-level frameworks, such as MapReduce and Spark, their cost-effectiveness is not always acceptable. In this paper, we propose a smart intra
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Wang, De Wen, and Xiao Jian Liu. "Parallel Fault Diagnosis of Power Transformer Based on MapReduce and K-Means." Applied Mechanics and Materials 494-495 (February 2014): 813–16. http://dx.doi.org/10.4028/www.scientific.net/amm.494-495.813.

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Fault diagnosis can insure the power transformer safety and economic operation, and the data mining is the key technology of fault diagnosis for power transformer. In order to achieve the fast parallel fault diagnosis for power transformer, we need to put cloud computing technology into the smart grid. We give a parallel method of K-means based on MapReduce framework on the Hadoop distributed systems cluster to diagnose operation state of power transformer. Finally, through transformer fault diagnosis experimentations of massive DGA data, the results indicate closely linear speedup with an inc
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Jiang, Ling, Guoan Tang, Xuejun Liu, Xiaodong Song, Jianyi Yang, and Kai Liu. "Parallel contributing area calculation with granularity control on massive grid terrain datasets." Computers & Geosciences 60 (October 2013): 70–80. http://dx.doi.org/10.1016/j.cageo.2013.07.003.

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ELLIS, J. L., G. KEDEM, T. C. LYERLY, et al. "THE RAYCASTING ENGINE AND RAY REPRESENTATIONS: A TECHNICAL SUMMARY." International Journal of Computational Geometry & Applications 01, no. 04 (1991): 347–80. http://dx.doi.org/10.1142/s0218195991000256.

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Solid modeling is computationally intensive. Thus far its use in industry has been limited mainly to simple parts and simple applications, and this is not likely to change much until 'massive' computing power can be made available at an affordable cost. The RayCasting Engine is one specialized source of 'massive' computing power for solid modeling, and it is but the simplest member of a potentially large family of 'classification computers'. The RayCasting Engine (RCE) is a highly parallel, custom-VLSI computer that classifies grids of parallel lines against solids represented in CSG. The sets
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Pothen, Alex, S. M. Ferdous, and Fredrik Manne. "Approximation algorithms in combinatorial scientific computing." Acta Numerica 28 (May 1, 2019): 541–633. http://dx.doi.org/10.1017/s0962492919000035.

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We survey recent work on approximation algorithms for computing degree-constrained subgraphs in graphs and their applications in combinatorial scientific computing. The problems we consider include maximization versions of cardinality matching, edge-weighted matching, vertex-weighted matching and edge-weighted $b$-matching, and minimization versions of weighted edge cover and $b$-edge cover. Exact algorithms for these problems are impractical for massive graphs with several millions of edges. For each problem we discuss theoretical foundations, the design of several linear or near-linear time
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Wohl, Peter. "EFFICIENCY THROUGH REDUCED COMMUNICATION IN MESSAGE PASSING SIMULATION OF NEURAL NETWORKS." International Journal on Artificial Intelligence Tools 02, no. 01 (1993): 133–62. http://dx.doi.org/10.1142/s0218213093000096.

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Neural algorithms require massive computation and very high communication bandwidth and are naturally expressed at a level of granularity finer than parallel systems can exploit efficiently. Mapping Neural Networks onto parallel computers has traditionally implied a form of clustering neurons and weights to increase the granularity. SIMD simulations may exceed a million connections per second using thousands of processors, but are often tailored to particular networks and learning algorithms. MIMD simulations required an even larger granularity to run efficiently and often trade flexibility fo
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Cazzaniga, Paolo, Marco S. Nobile, Daniela Besozzi, Matteo Bellini, and Giancarlo Mauri. "Massive Exploration of Perturbed Conditions of the Blood Coagulation Cascade through GPU Parallelization." BioMed Research International 2014 (2014): 1–20. http://dx.doi.org/10.1155/2014/863298.

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The introduction of general-purpose Graphics Processing Units (GPUs) is boosting scientific applications in Bioinformatics, Systems Biology, and Computational Biology. In these fields, the use of high-performance computing solutions is motivated by the need of performing large numbers ofin silicoanalysis to study the behavior of biological systems in different conditions, which necessitate a computing power that usually overtakes the capability of standard desktop computers. In this work we present coagSODA, a CUDA-powered computational tool that was purposely developed for the analysis of a l
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Dissertations / Theses on the topic "Massive parallel computers"

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Noghani, Waheed Bazazan. "An investigation into the implementation of a cost-effective ASP architecture using VLSI and WSI technologies and its effect on modular-MPC systems." Thesis, Brunel University, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.295196.

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Su, (Philip) Shin-Chen. "Parallel subdomain method for massively parallel computers." Diss., Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/17376.

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Izadi, Mohammad. "Hierarchical Matrix Techniques on Massively Parallel Computers." Doctoral thesis, Universitätsbibliothek Leipzig, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-101164.

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Hierarchical matrix (H-matrix) techniques can be used to efficiently treat dense matrices. With an H-matrix, the storage requirements and performing all fundamental operations, namely matrix-vector multiplication, matrix-matrix multiplication and matrix inversion can be done in almost linear complexity. In this work, we tried to gain even further speedup for the H-matrix arithmetic by utilizing multiple processors. Our approach towards an H-matrix distribution relies on the splitting of the index set. The main results achieved in this work based on the index-wise H-distribution are: A highl
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Farreras, Esclusa Montse. "Optimizing programming models for massively parallel computers." Doctoral thesis, Universitat Politècnica de Catalunya, 2008. http://hdl.handle.net/10803/31776.

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Since the invention of the transistor, clock frequency increase was the primary method of improving computing performance. As the reach of Moore's law came to an end, however, technology driven performance gains became increasingly harder to achieve, and the research community was forced to come up with innovative system architectures. Today increasing parallelism is the primary method of improving performance: single processors are being replaced by multiprocessor systems and multicore architectures. The challenge faced by computer architects is to increase performance while limited by cos
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Yilmaz, Erdal. "Massive Crowd Simulation With Parallel Processing." Phd thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12611627/index.pdf.

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This thesis analyzes how parallel processing with Graphics Processing Unit (GPU) could be used for massive crowd simulation, not only in terms of rendering but also the computational power that is required for realistic simulation. The extreme population in massive crowd simulation introduces an extra computational load, which is quite difficult to meet by using Central Processing Unit (CPU) resources only. The thesis shows the specific methods and approaches that maximize the throughput of GPU parallel computing, while using GPU as the main processor for massive crowd simulation. The methodo
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Krikelis, Anargyros. "Computer vision with an associative massively parallel processor." Thesis, Brunel University, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.319345.

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Folleco, Andres A. "A Performance Analysis tool for Unix Massively Parallel Computers." NSUWorks, 1998. http://nsuworks.nova.edu/gscis_etd/522.

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The objective of this study was to provide a software tool capable of monitoring and optimizing a UNIX massively parallel computer by effectively removing the human operator as much as possible. Due to the complexity of the latest Unix System V release and the number of parameters that can affect system performance, it was highly desirable to provide a software tool capable of monitoring and tuning large parallel systems at frequencies within one second. The target system was the Infinity series manufactured by Encore Computer. Some models can have up to 64 nodes or subsystems, each having at
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Wang, Yung-Hsin. "Discrete event simulation on a massively parallel computer." Diss., The University of Arizona, 1992. http://hdl.handle.net/10150/185913.

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Discrete-event simulation appears to be an ideal candidate for parallel processing not only because many large-scale simulations take extremely long execution times on conventional computers but also because the systems being modelled often contain considerable amounts of intrinsic parallelism. Ability to simulate large models in a reasonable time is the motivation for seeking speed advantages offered by parallel computer systems. The Connection Machine is an example of a massively parallel computer with a general communications network in which any processor can communicate with any other tha
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Ediger, David. "Analyzing hybrid architectures for massively parallel graph analysis." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/47659.

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The quantity of rich, semi-structured data generated by sensor networks, scientific simulation, business activity, and the Internet grows daily. The objective of this research is to investigate architectural requirements for emerging applications in massive graph analysis. Using emerging hybrid systems, we will map applications to architectures and close the loop between software and hardware design in this application space. Parallel algorithms and specialized machine architectures are necessary to handle the immense size and rate of change of today's graph data. To highlight the impact of
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Sung, Hongki. "Design of scalable optical interconnection networks for massively parallel computers." Diss., The University of Arizona, 1994. http://hdl.handle.net/10150/186843.

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The increased amount of data handled by current information systems, coupled with the ever growing need for more processing functionality and system throughput is putting stringent demands on communication bandwidths and processing speeds. While the progress in designing high-speed processing elements has progressed significantly, the progress on designing high-performance interconnection networks has not been adequate. The primary bottleneck of today's interconnection networks is typically the very limited bandwidth. Optics, due to inherent parallelism, high bandwidth, low crosstalk, and free
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Books on the topic "Massive parallel computers"

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1959-, Steyaert Michiel, ed. Analog VLSI integration of massive parallel signal processing systems. Kluwer Academic Publishers, 1997.

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Symposium on the Frontiers of Massively Parallel Computations (4th 1992 McLean, Va.). Fron tiers '92, the Fourth Symposium on the Frontiers of Massive Parallel Computation, October 19-21, 1992, McLean, Virginia. IEEE Computer Society Press, 1992.

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Models of massive parallelism: Analysis of cellular automata and neural networks. Springer, 1995.

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Bräunl, Thomas. Massiv parallele Programmierung mit dem Parallaxis-Modell. Springer-Verlag, 1990.

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

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Kogge, Peter M. Processor-In-Memory (PIM) based architectures for petaflops potential massively parallel processing: Final report, NASA grant NAG 5-2998. National Aeronautics and Space Administration, 1996.

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Zheng, Jianqing. CMOS VLSI layout and verification of a SIMD computer: A thesis ... National Aeronautics and Space Administration, 1996.

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Kotz, David. Dynamic file-access characteristics of a production parallel scientific workload. National Aeronautics and Space Administration, 1994.

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Sun, Xian-He. Efficient parallel kernel solvers for computational fluid dynamics applications: Final report, NASA contract no. NAG1-1672 (Jan. 1995-Aug. 97). National Aeronautics and Space Administration, 1997.

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Bokhari, Shahid H. Balancing contention and synchronization on the Intel Paragon. Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1996.

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Book chapters on the topic "Massive parallel computers"

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Trompert, Ron, and Ulrich Hansen. "The simulation of dynamos on massive parallel computers." In High-Performance Computing and Networking. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0031672.

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Fischer, H., and C. Troger. "Computational Fluid Dynamics with Fire on Massive Parallel Computers." In Notes on Numerical Fluid Mechanics (NNFM). Vieweg+Teubner Verlag, 1994. http://dx.doi.org/10.1007/978-3-322-89727-5_6.

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Ferreira, A., A. Goldman Lejbman, and S. W. Song. "Bus based parallel computers: A viable way for massive parallelism." In PARLE'94 Parallel Architectures and Languages Europe. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/3-540-58184-7_130.

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Tanaka, Y. "Massive Parallel Database Computer MPDC and Its Control Schemes for Massively Parallel Processing." In Database Machines. Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-82937-6_6.

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Zlatev, Zahari. "Running Models on Massively Parallel Computers." In Computer Treatment of Large Air Pollution Models. Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-011-0311-4_9.

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Stocks, G. M., D. M. C. Nicholson, Yang Wang, et al. "Alloy Calculations on Massively Parallel Computers." In Metallic Alloys: Experimental and Theoretical Perspectives. Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-1092-1_44.

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Giloi, Wolfgang K. "Interconnection networks for massively parallel computer systems." In Future Parallel Computers. Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/3-540-18203-9_10.

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Thiele, Lothar. "Compiler Techniques for Massive Parallel Architectures." In Computer Systems and Software Engineering. Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3506-5_4.

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Carreira, João, Viorica Pătrăucean, Laurent Mazare, Andrew Zisserman, and Simon Osindero. "Massively Parallel Video Networks." In Computer Vision – ECCV 2018. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01225-0_40.

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Becher, Jonathan D., and Kent L. Beck. "Profiling on a massively parallel computer." In Parallel Processing: CONPAR 92—VAPP V. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/3-540-55895-0_402.

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Conference papers on the topic "Massive parallel computers"

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Sheung, Hoi, Siu-Ping Mok, and Charlie C. L. Wang. "A Highly Parallel Approach to Meshing Scattered Point Data." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-86936.

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In this paper, we present a parallel mesh surface generation approach for unorganized point clouds that runs on the graphics processing unit (GPU). Our approach integrates point cloud simplification, point cloud optimization, and local triangulation techniques into the same framework. The input point cloud will be processed through three steps of algorithms, which are 1) preprocessing: to generate the neighborhood table of points and estimate the normal vectors, 2) clustering: to group points into optimized clusters that minimize the shape approximation error, and 3) meshing: to connect the se
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Munzinger, Christian, and Martin Kipfmu¨ller. "Direct Pose Measurement: A Suitable Way to Increase the Accuracy of Parallel Robots?" In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-34540.

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Parallel robots are showing a high potential for the application in machine tools requesting high stiffness and dynamics. Nevertheless, a broad use of parallel mechanisms in machine tools is nowadays avoided by the minor accuracy of parallel kinematic machines compared to conventional machine tool structures, which entails the need for complex calibration algorithms. In this paper, a strategy to avoid the calibration of parallel kinematic machines by rearranging the measurement system to the end effector is presented. Because this rearrangement entails a massive modification of the machine too
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Yodo, Kaworu, Ryuji Shioya, Akio Miyoshi, and Takuru Asaumi. "Parallel CAE System for Large Scale Problems Based on HTML5 and WebGL." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-70818.

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We have developed a prototype of web based CAE system with HTML5 and WebGL technology and the ADVENTURE system. The main system including solver part is operated on the remote server like a cloud computing and user interface client is operated in a web browser on the Internet devices (including PCs, smartphones, and tablet devices) without any additional software or plug-ins. In this system, we use the ADVENTURE system as server-side CAE system. The ADVENTURE system is a general-purpose computational analysis system we have been developing. Aim of the system is to enable to analyze a three dim
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Mazhar, Hammad, Andrew Seidl, Rebecca Shotwell, Marco B. Quadrelli, Dan Negrut, and Abhinandan Jain. "Granular Dynamics Simulation on Multiple GPUs Using Domain Decomposition." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-71121.

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This paper describes the software infrastructure needed to enable massive multi-body simulation using multiple GPUs. Utilizing a domain decomposition approach, a large system made up of billions of bodies can be split into self-contained subdomains which are then transferred to different GPUs and solved in parallel. Parallelism is enabled on multiple levels, first on the CPU through OpenMP and secondly on the GPU through NVIDIA CUDA (Compute Unified Device Architecture). This heterogeneous software infrastructure can be extended to networks of computers using MPI (Message Passing Interface) as
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Fulton, Robert E., and Philip S. Su. "Parallel Substructure Approach for Massively Parallel Computers." In ASME 1992 International Computers in Engineering Conference and Exposition. American Society of Mechanical Engineers, 1992. http://dx.doi.org/10.1115/cie1992-0093.

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Abstract New massively parallel computer architectures have revolutionized the design of computer algorithms, and promise to have significant influence on algorithms for engineering computations. The traditional global model parallel method has a limited benefit for massively parallel computers. An alternative method is to use the substructure approach. This paper is to explore the potential for substructure strategy through actual examples. Each substructure is mapped on to some processors of a MIMD parallel computer. The internal nodes variables will be condensed into boundary nodes variable
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Lu, Yan, Zhuo Yang, Douglas Eddy, and Sundar Krishnamurty. "Self-Improving Additive Manufacturing Knowledge Management." In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/detc2018-85996.

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The current additive manufacturing (AM) product development environment is far from being mature. Both software applications and workflow management tools are very limited due to the lack of knowledge supporting engineering decision making. AM knowledge includes design rules, operation guidance, and predictive models, etc., which play a critical role in the development of AM products, from the selection of a process and material, lattice and support structure design, process parameter optimization to in-situ process control, part qualification and even material development. At the same time, m
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"Programming Models for Massively Parallel Computers." In Programming Models for Massively Parallel Computers. IEEE, 1995. http://dx.doi.org/10.1109/pmmpc.1995.504334.

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Ober, Curtis C., Ron A. Oldfield, David E. Womble, and Charles C. Mosher. "Seismic imaging on massively parallel computers." In SEG Technical Program Expanded Abstracts 1997. Society of Exploration Geophysicists, 1997. http://dx.doi.org/10.1190/1.1885675.

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Iliopoulos, Athanasios, John G. Michopoulos, and John C. Hermanson. "Composite Material Testing Data Reduction to Adjust for the Systematic 6-DoF Testing Machine Aberrations." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-71119.

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This paper describes a data reduction methodology for eliminating the systematic aberrations introduced by the unwanted behavior of a multiaxial testing machine, into the massive amounts of experimental data collected from testing of composite material coupons. The machine in reference is a custom made 6-DoF system called NRL66.3 and developed at the NAval Research Laboratory, that consists of multiple sets of hexapod configurations essentially forming a recursive synthesis of multiple parallel mechanisms. Hexapod linkages, the grips, and other deformable parts of the machine absorb energy. Th
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Kamada, Tomio, Satoshi Matsuoka, and Akinori Yonezawa. "Efficient parallel global garbage collection on massively parallel computers." In the 1994 ACM/IEEE conference. ACM Press, 1994. http://dx.doi.org/10.1145/602770.602790.

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Reports on the topic "Massive parallel computers"

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Scherson, Isaac D. Orthogonal Interconnection Networks for Massively Parallel Computers. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada299987.

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Esener, Sadik C. Interfacing Massively Parallel Computers to Terabit Fiber Links. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada380045.

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Poling, D. A. Benchmarking ocean circulation models on massively parallel computers. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/515635.

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Mago, Gyula. A Test Bed for a Massively Parallel Computer Architecture. Defense Technical Information Center, 1986. http://dx.doi.org/10.21236/ada213786.

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BRIGHTWELL, RONALD B. Programming Paradigms for Massively Parallel Computers: LDRD Project Final Report. Office of Scientific and Technical Information (OSTI), 2001. http://dx.doi.org/10.2172/783090.

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Newman, G. A., and D. L. Alumbaugh. Three-dimensional electromagnetic modeling and inversion on massively parallel computers. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/212573.

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Halbgewachs, R., J. Tomkins, and J. VanDyke. Implementation of midcourse tracking and correlation on massively parallel computers. Office of Scientific and Technical Information (OSTI), 1990. http://dx.doi.org/10.2172/7245123.

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Womble, D., and B. Young. A model and implementation of multigrid for massively parallel computers. Office of Scientific and Technical Information (OSTI), 1990. http://dx.doi.org/10.2172/6980381.

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Weatherby, J. R., J. A. Schutt, J. S. Peery, and R. E. Hogan. Delta: An object-oriented finite element code architecture for massively parallel computers. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/212576.

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VanDyke, J. P., J. L. Tomkins, and M. D. Furnish. Measures of effectiveness for BMD mid-course tracking on MIMD massively parallel computers. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/83111.

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