Thematische Bibliographien / Parallel processing (Electronic computers)

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Auswahl der wissenschaftlichen Literatur zum Thema „Parallel processing (Electronic computers)“

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Veröffentlicht am 4. Juni 2021

Zuletzt aktualisiert am 31. Juli 2024

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Zeitschriftenartikel zum Thema "Parallel processing (Electronic computers)"

Arthurs, E., J. M. Cooper, M. S. Goodman, H. Kobrinski, M. Tur und M. P. Vecchi. „Multiwavelength optical crossconnect for parallel-processing computers“. Electronics Letters 24, Nr. 2 (1988): 119. http://dx.doi.org/10.1049/el:19880079.

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Kai Hwang und Zhiwei Xu. „Scalable parallel computers for real-time signal processing“. IEEE Signal Processing Magazine 13, Nr. 4 (Juli 1996): 50–66. http://dx.doi.org/10.1109/79.526898.

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Moulin, P., A. T. Ogielski, G. Lilienfeld und J. W. Woods. „Video Signal Processing and Coding on Data-Parallel Computers“. Digital Signal Processing 5, Nr. 2 (April 1995): 118–29. http://dx.doi.org/10.1006/dspr.1995.1011.

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Buchanan, W. J., und N. K. Gupta. „Maxwell's Equations in the 21st Century“. International Journal of Electrical Engineering & Education 30, Nr. 4 (Oktober 1993): 343–53. http://dx.doi.org/10.1177/002072099303000408.

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Maxwell's equations in the 21st Century The finite-difference time-domain method is a novel method for solving Maxwell's curl equations, especially when parallel-processing techniques are applied. The next generation of computers will bring a revolution by exploiting the use of parallel processing in computation to the maximum.

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Ishikawa, Masatoshi. „Optical Neuron Computers - Associative Memory and Learning by Optical Parallel Processing -“. Journal of Robotics and Mechatronics 2, Nr. 4 (20.08.1990): 322–23. http://dx.doi.org/10.20965/jrm.1990.p0322.

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El-Seoud, Samir Abou, Reham Fouad Mohamed und Samy Ghoneimy. „DNA Computing: Challenges and Application“. International Journal of Interactive Mobile Technologies (iJIM) 11, Nr. 2 (11.04.2017): 74. http://dx.doi.org/10.3991/ijim.v11i2.6564.

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<p class="Abstract">Much of our scientific, technological, and economic future depends on the availability of an ever-increasing supply of computational power. However, the increasing demand for such power has pushed electronic technology to the limit of physical feasibility and has raised the concern that this technology may not be able to sustain our growth in the near future. It became important to consider an alternative means of achieving computational power. In this regard, DNA computing was introduced based on the usage of DNA and molecular biology hardware instead of the typical silicon based technology. The molecular computers could take advantage of DNA's physical properties to store information and perform calculations. These include extremely dense information storage, enormous parallelism and extraordinary energy efficiency. One of the main advantages that DNA computations would add to computation is its self - parallel processing while most of the electronic computers now use linear processing. In this paper, the DNA computation is reviewed and its state of the art challenges and applications are presented. Some of these applications are those require fast processing, at which DNA computers would be able to solve the hardest problems faster than the traditional ones. For example, 10 trillion DNA molecules can fit in one cubic centimeter that would result in a computer that holds 10 terabytes of data. Moreover, this work focuses on whether a large scale molecular computer can be built.</p>

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Pissaloux, Edwige E., und Patrick Bonnin. „On the Evolution of Parallel Computers Dedicated to Image Processing through Examples of Some French Computers“. Digital Signal Processing 7, Nr. 1 (Januar 1997): 13–27. http://dx.doi.org/10.1006/dspr.1997.0274.

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Hayat, L. „Two-dimensional median filter algorithm for parallel reconfigurable computers“. IEE Proceedings - Vision, Image, and Signal Processing 142, Nr. 6 (1995): 345. http://dx.doi.org/10.1049/ip-vis:19952273.

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Niewiadomska-Szynkiewicz, Ewa, Michał Marks, Jarosław Jantura und Mikołaj Podbielski. „A Hybrid CPU/GPU Cluster for Encryption and Decryption of Large Amounts of Data“. Journal of Telecommunications and Information Technology, Nr. 3 (30.09.2012): 32–39. http://dx.doi.org/10.26636/jtit.2012.3.1276.

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The main advantage of a distributed computing system over standalone computer is an ability to share the workload between cores, processors and computers. In our paper we present a hybrid cluster system – a novel computing architecture with multi-core CPUs working together with many-core GPUs. It integrates two types of CPU, i.e., Intel and AMD processor with advanced graphics processing units, adequately, Nvidia Tesla and AMD FirePro (formerly ATI). Our CPU/GPU cluster is dedicated to perform massive parallel computations which is a common approach in cryptanalysis and cryptography. The efficiency of parallel implementations of selected data encryption and decryption algorithms are presented to illustrate the performance of our system.

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Song, Zhe, Xing Mu und Hou-Xing Zhou. „High Performance Computing of Complex Electromagnetic Algorithms Based on GPU/CPU Heterogeneous Platform and Its Applications to EM Scattering and Multilayered Medium Structure“. International Journal of Antennas and Propagation 2017 (2017): 1–12. http://dx.doi.org/10.1155/2017/9173062.

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The fast and accurate numerical analysis for large-scale objects and complex structures is essential to electromagnetic simulation and design. Comparing to the exploration in EM algorithms from mathematical point of view, the computer programming realization is coordinately significant while keeping up with the development of hardware architectures. Unlike the previous parallel algorithms or those implemented by means of parallel programming on multicore CPU with OpenMP or on a cluster of computers with MPI, the new type of large-scale parallel processor based on graphics processing unit (GPU) has shown impressive ability in various scenarios of supercomputing, while its application in computational electromagnetics is especially expected. This paper introduces our recent work on high performance computing based on GPU/CPU heterogeneous platform and its application to EM scattering problems and planar multilayered medium structure, including a novel realization of OpenMP-CUDA-MLFMM, a developed ACA method and a deeply optimized CG-FFT method. With fruitful numerical examples and their obvious enhancement in efficiencies, it is convincing to keep on deeply investigating and understanding the computer hardware and their operating mechanism in the future.

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Dissertationen zum Thema "Parallel processing (Electronic computers)"

Jin, Xiaoming. „A practical realization of parallel disks for a distributed parallel computing system“. [Gainesville, Fla.] : University of Florida, 2000. http://etd.fcla.edu/etd/uf/2000/ane5954/master.PDF.

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Thesis (M.S.)--University of Florida, 2000.
Title from first page of PDF file. Document formatted into pages; contains ix, 41 p.; also contains graphics. Vita. Includes bibliographical references (p. 39-40).

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練偉森 und Wai-sum Lin. „Adaptive parallel rendering“. Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1999. http://hub.hku.hk/bib/B31221415.

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Lin, Wai-sum. „Adaptive parallel rendering /“. Hong Kong : University of Hong Kong, 1999. http://sunzi.lib.hku.hk/hkuto/record.jsp?B20868236.

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Harrison, Ian. „Locality and parallel optimizations for parallel supercomputing“. Diss., Connect to the thesis, 2003. http://hdl.handle.net/10066/1274.

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Hybinette, Maria. „Interactive parallel simulation environments“. Diss., Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/9174.

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Baker, James McCall Jr. „Run-time systems for fine-grain message-passing parallel computers“. Diss., Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/15366.

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Zhang, Hua 1954. „Practical Parallel Processing“. Thesis, University of North Texas, 1996. https://digital.library.unt.edu/ark:/67531/metadc278769/.

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The physical limitations of uniprocessors and the real-time requirements of numerous practical applications have made parallel processing an essential technology in military, industry and scientific research. In this dissertation, we investigate parallelizations of three practical applications using three parallel machine models. The algorithms are: Finitely inductive (FI) sequence processing is a pattern recognition technique used in many fields. We first propose four parallel FI algorithms on the EREW PRAM. The time complexity of the parallel factoring and following by bucket packing is O(sk^2 n/p), and they are optimal under some conditions. The parallel factoring and following by hashing requires O(sk^2 n/p) time when uniform hash functions are used and log(p) ≤ k n/p and pm ≈ n. Their speedup is proportional to the number processors used. For these results, s is the number of levels, k is the size of the antecedents and n is the length of the input sequence and p is the number of processors. We also describe algorithms for raster/vector conversion based on the scan model to handle block-like connected components of arbitrary geometrical shapes with multi-level nested dough nuts for the IES (image exploitation system). Both the parallel raster-to-vector algorithm and parallel vector-to-raster algorithm require O(log(n2)) or O(log2(n2)) time (depending on the sorting algorithms used) for images of size n2 using p = n2 processors. Not only is the DWT (discrete wavelet transforms) useful in data compression, but also has it potentials in signal processing, image processing, and graphics. Therefore, it is of great importance to investigate efficient parallelizations of the wavelet transforms. The time complexity of the parallel forward DWT on the parallel virtual machine with linear processor organization is O(((so+s1)mn)/p), where s0 and s1 are the lengths of the filters and p is the number of processors used. The time complexity of the inverse DWT is also O(((so+s1)mn)/p). If the processors are organized as a 2D array with PrawPcol processors, both the interleaved parallel DWT and IDWT have the time complexity of O(((so+s1)mn)/ProwPcol). We have parallelized three applications and achieved optimality or best-possible performances for each of the three applications over each of the chosen machine models. Future research will involve continued examination of parallel architectures for implementation of practical problems.

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Nader, Babak. „Parallel solution of sparse linear systems“. Full text open access at:, 1987. http://content.ohsu.edu/u?/etd,138.

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Elabed, Jamal. „Implementing parallel sorting algorithms“. Virtual Press, 1989. http://liblink.bsu.edu/uhtbin/catkey/543997.

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The Republic of Guinea is located on the west coast of Africa at about 11° North latitude. A large portion of Guinea's supply of protein is dried fish. The actual drying method operates under open air, the foodstuff being unprotected from unexpected rains, windborne dirt and dust, and from infestation by insects, rodents, and other animals. More, the deforestation rate is increasing year after year, depleting the source of fuel for drying. Practical ways of drying fish cheaply and sanitarily would be welcome.Recently, much work has been devoted to developing algorithms for parallel processors. Parallel algorithms have received a great deal of attention because of the advances in computer hardware technology. These parallel processors and algorithms have been used to improve computational speed, especially in the areas of sorting, evaluation of polynomials, arithmetic expressions, matrix and graphic problems.Sorting is an important operation in business and computer engineering applications. The literature contains many sorting algorithms, both sequential and parallel, which have been developed and used in practical applications. bubble sort, quick sort, insertion sort, enumeration sort, bucket and odd-even transposition sort. Ada, a new excellent programming language that offers high-level concurrent processing facilities called tasks, is used in this thesis to introduce, implement, compare and evaluate some of the parallel sorting algorithms. This thesis will also show that parallel sorting algorithms reduce the time requirement to perform the tasks.
Department of Computer Science

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Romig, Phillip R. „Parallel task processing of very large datasets“. [Lincoln, Neb. : University of Nebraska-Lincoln], 1999. http://international.unl.edu/Private/1999/romigab.pdf.

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Bücher zum Thema "Parallel processing (Electronic computers)"

Petkov, Nikolay. Systolic parallel processing. Amsterdam: North-Holland, 1993.

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Infotech, Pergamon, Hrsg. Parallel processing. Oxford: Pergamon Infotech, 1987.

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Miller, Richard Kendall. Parallel processing. Lilburn, GA: Fairmont Press, 1990.

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Rietman, Ed. Exploring parallel processing. Blue Ridge Summit, PA: Windcrest, 1990.

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Wallach, Y. Parallel processing and ADA. Englewood Cliffs, N.J: Prentice Hall, 1991.

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Denning, Peter J. Speeding up parallel processing. [Moffett Field, Calif.?]: Research Institute for Advanced Computer Science, 1988.

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Lerman, Gil. Parallel evolution of parallel processors. New York: Plenum Press, 1993.

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Green, Stuart. Parallel processing for computer graphics. London: Pitman, 1991.

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Choudhary, Alok N. Parallel architectures and parallel algorithms for integrated vision systems. Urbana, Ill: Coordinated Science Laboratory, College of Engineering, University of Illinois at Urbana-Champaign, 1990.

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Choudhary, Alok N. Parallel architectures and parallel algorithms for integrated vision systems. Boston: Kluwer Academic Publishers, 1990.

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Buchteile zum Thema "Parallel processing (Electronic computers)"

Roosta, Seyed H. „Components of Parallel Computers“. In Parallel Processing and Parallel Algorithms, 57–108. New York, NY: Springer New York, 2000. http://dx.doi.org/10.1007/978-1-4612-1220-1_2.

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Gonzalez-Rubio, R., A. Bradier und J. Rohmer. „DDC delta driven computer a parallel machine for symbolic processing“. In Future Parallel Computers, 286–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/3-540-18203-9_8.

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Muraoka, Yoichi, Randall Bramley, David F. Snelling und Harry Wijshoff. „Applications on High-Performance Computers“. In Euro-Par 2001 Parallel Processing, 358–59. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44681-8_51.

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Kumar, Vipin, Franz-Josef Pfreundt, Hans Burkhard und Jose Laghina Palma. „Applications on High Performance Computers“. In Euro-Par 2002 Parallel Processing, 409. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45706-2_55.

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Resch, Michael. „Applications on High-Performance Computers“. In Euro-Par 2000 Parallel Processing, 479–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-44520-x_63.

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Getov, Vladimir, Emilio Hernández und Tony Hey. „Message-passing performance of parallel computers“. In Euro-Par'97 Parallel Processing, 1009–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0002845.

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Romero, Sergio, Luis F. Romero und Emilio L. Zapata. „Fast Cloth Simulation with Parallel Computers“. In Euro-Par 2000 Parallel Processing, 491–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-44520-x_65.

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Stoica, Ion, Hussein Abdel-Wahab und Alex Pothen. „A microeconomic scheduler for parallel computers“. In Job Scheduling Strategies for Parallel Processing, 200–218. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/3-540-60153-8_30.

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Kitowski, Jacek, Andrzej M. Goscinski, Boleslaw K. Szymanski und Peter Luksch. „Topic 7 Applications on High-Performance Computers“. In Euro-Par 2003 Parallel Processing, 431–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45209-6_64.

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Heras, Dora B., José Carlos Cabaleiro, Vicente Blanco, Pablo Costas und Francisco F. Rivera. „Principal component analysis on vector computers“. In Vector and Parallel Processing — VECPAR'96, 416–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-62828-2_133.

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Konferenzberichte zum Thema "Parallel processing (Electronic computers)"

Charles, Henri-Pierre, Jian-Jin Li und Serge Miguet. „Three-dimensional image processing on distributed memory paralled computers“. In IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, herausgegeben von Raj S. Acharya und Dmitry B. Goldgof. SPIE, 1993. http://dx.doi.org/10.1117/12.148651.

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Waterson, Clare, und B. Keith Jenkins. „Shared Memory Optical/Electronic Computer: Architecture Design“. In Optical Computing. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/optcomp.1991.tua3.

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Several abstract models of parallel computation have been developed and studied by the computer science and parallel processing communities [1, 2]. The shared memory models are among the most computationally powerful of these models. They benefit from substantial theoretical foundations, and many algorithms have been mapped onto these models in order to characterize theoretically optimum parallel performance. A number of attempts have been made to develop electronic parallel architectures based on the shared memory model. Most of them have been unsuccessful, primarily due to the complexity of the interconnection network hardware and its associated control.

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Shelton, David P. „Bacteriorhodopsin Opto-Electronic Synapses“. In Organic Thin Films for Photonic Applications. Washington, D.C.: Optica Publishing Group, 1997. http://dx.doi.org/10.1364/otfa.1997.the.11.

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In recent years there has been a resurgence of interest in artificial neural networks, and several optical implementations have been investigated [1]. Neural networks are intrinsically parallel computers, and optics can provide the massive parallelism and interconnectivity they require. The key components of neural networks are the synapses between the neurons, which are the locus of signal processing, learning, and memory. Bacteriorhodopsin (BR) has photochromic properties which will enable one to construct functionally complete synapses in the form of a thin-film optically-addressed spatial light modulator. Here we present measurements of properties of bacteriorhodopsin relevant to synaptic functions.

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Barnsley, Pete. „Status of optical processing in the telecom environment“. In The European Conference on Lasers and Electro-Optics. Washington, D.C.: Optica Publishing Group, 1994. http://dx.doi.org/10.1364/cleo_europe.1994.cwj1.

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Optical processing has been the topic of research and study for many years. The prospect of potential control of light with light has long been seen as the means to replace electronic bottlenecks within computing or telecommunications processing equipment. Light travels fast (like electronic signals), fibre has very low attenuation, wavelength is an extra degree of freedom, light can be highly parallel and signals can be made to interact strongly or weakly, and many technologies allow the interaction between the electronic and optical signals. Rapid research progress has, however, been limited in its commercial success; optical processors and optical computers are still far off.

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Geng, Shaofeng, und Jia Zhang. „A Parallel Processing Method for Uncertain Data Stream“. In EITCE 2020: 2020 4th International Conference on Electronic Information Technology and Computer Engineering. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3443467.3443711.

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Kiamilev, F., Dau-Tsuong Lu, J. Fan, S. Esener und S. H. Lee. „VHDL for simulation of optoelectronic computers“. In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1990. http://dx.doi.org/10.1364/oam.1990.fj7.

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VHSIC Hardware Description Language (VHDL) is a standard language for modelling electronic hardware. To evaluate the application of VHDL to optoelectronic computers, we simulate the programmable optoelectronic multiprocessor (POEM) architecture in VHDL. POEM is an architecture in which processing elements are interconnected with reconfigurable free-space optical interconnections. We use VHDL to simulate the POEM prototype, develop the next-generation POEM system, and design and test new parallel algorithms that exploit unique features of optoelectronic technology. We discuss our experience in the application of VHDL to the modeling of optoelectronic systems.

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Zhang, Genyuan, und Fujun Ye. „3D Complex Scene Rendering Acceleration Method Based on Parallel Processing“. In IPEC2022: 2022 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3544109.3544176.

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Guo, Xiaozi, Juan Zhang und Mingquan Zhou. „Fast Parallel Bounding Volume Hierarchy Construction“. In 2020 Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC). IEEE, 2020. http://dx.doi.org/10.1109/ipec49694.2020.9115145.

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Lu, Y. C., Julian Cheng, J. C. Zolper und J. Klem. „Multi-functional Surface-Emitting Laser-Based Integrated Photonic/Optoelectronic Switch For Parallel High-Speed Optical Interconnects“. In Photonics in Switching. Washington, D.C.: Optica Publishing Group, 1995. http://dx.doi.org/10.1364/ps.1995.pfb4.

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The monolithic integration of vertical-cavity surface-emitting lasers (VCSELs) with active electronic devices combines the optical source array and its driver circuits into a single IC technology, which is usefill for parallel high-speed optical interconnects. Another motive for the integration of VCSELs with high speed electronics is to provide an optical switching network with a simple optoelectronic interface that allows individual electronic computer processors to communicate with each other through parallel optical channels. A dynamically reconfigurable optical switching network1-2 can simultaneously route optical data between many different electronic processors as they perform parallel processing sequences using shared resources. Each switch of the network must provide an optical link to all the other nodes, as well as an optical ⟺ electrical interface to an electronic processor. Each switch must thus perform both the optical and optoelectronic switching functions in order to convert data between various combinations of electrical and optical input/output (I/O) formats.

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Blow, K. J., A. Poustie und R. J. Manning. „Packet Networks using All-Optical Bit Serial Processing“. In Nonlinear Guided Waves and Their Applications. Washington, D.C.: Optica Publishing Group, 1998. http://dx.doi.org/10.1364/nlgw.1998.nwe.14.

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In the early days of computing (1940’s and 1950’s), computers were designed to operate serially as no static memory was available and storage could only be implemented using recirculating delay lines. Modem silicon based computers process data in parallel using static memory and latching logic gates. If processing is to be possible in all-optical form we believe it is necessary to return to serial techniques since it has proved difficult to keep light still and obtain latching. Recent work at Colorado [1] has used these serial techniques to implement a stored program optoelectronic computer using a combination of electronic detection to control lithium niobate gates and optical fibres to provide the optical pathways. The key feature of the bit serial design is to use the time of flight of the light to provide a natural memory and to arrange for computation to occur by appropriate synchronisation of data and control pulses. One advantage of this approach is that the optical processing is scaleable in bit rate. In this paper we will describe an all-optical implementation of these techniques, based on the Nonlinear Optical Loop Mirror (NOLM)[2] switch architecture, with application to the operation of packet switched networks.

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Berichte der Organisationen zum Thema "Parallel processing (Electronic computers)"

Tolimieri, Richard. Efficient and Flexible Algorithms for Digital Signal Processing on Multiple Independent Node Parallel Computers. Fort Belvoir, VA: Defense Technical Information Center, Dezember 1994. http://dx.doi.org/10.21236/ada295094.

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Baughcum, S., und D. Rotman. High Performance Parallel Processing (HPPP) Global Atmospheric Chemisty Models on Massively Parallel Computers Final Report CRADA No. TC-0824-94-D. Office of Scientific and Technical Information (OSTI), Februar 2018. http://dx.doi.org/10.2172/1424674.

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Rotman, D. High performance parallel processing (HPPP) global atmospheric chemistry models on massively parallel computers CRADA No. TC-0824-94-D - Final CRADA. Office of Scientific and Technical Information (OSTI), Oktober 1998. http://dx.doi.org/10.2172/756375.

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Modlo, Yevhenii O., Serhiy O. Semerikov, Stanislav L. Bondarevskyi, Stanislav T. Tolmachev, Oksana M. Markova und Pavlo P. Nechypurenko. Methods of using mobile Internet devices in the formation of the general scientific component of bachelor in electromechanics competency in modeling of technical objects. [б. в.], Februar 2020. http://dx.doi.org/10.31812/123456789/3677.

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An analysis of the experience of professional training bachelors of electromechanics in Ukraine and abroad made it possible to determine that one of the leading trends in its modernization is the synergistic integration of various engineering branches (mechanical, electrical, electronic engineering and automation) in mechatronics for the purpose of design, manufacture, operation and maintenance electromechanical equipment. Teaching mechatronics provides for the meaningful integration of various disciplines of professional and practical training bachelors of electromechanics based on the concept of modeling and technological integration of various organizational forms and teaching methods based on the concept of mobility. Within this approach, the leading learning tools of bachelors of electromechanics are mobile Internet devices (MID) – a multimedia mobile devices that provide wireless access to information and communication Internet services for collecting, organizing, storing, processing, transmitting, presenting all kinds of messages and data. The authors reveals the main possibilities of using MID in learning to ensure equal access to education, personalized learning, instant feedback and evaluating learning outcomes, mobile learning, productive use of time spent in classrooms, creating mobile learning communities, support situated learning, development of continuous seamless learning, ensuring the gap between formal and informal learning, minimize educational disruption in conflict and disaster areas, assist learners with disabilities, improve the quality of the communication and the management of institution, and maximize the cost-efficiency. Bachelor of electromechanics competency in modeling of technical objects is a personal and vocational ability, which includes a system of knowledge, skills, experience in learning and research activities on modeling mechatronic systems and a positive value attitude towards it; bachelor of electromechanics should be ready and able to use methods and software/hardware modeling tools for processes analyzes, systems synthesis, evaluating their reliability and effectiveness for solving practical problems in professional field. The competency structure of the bachelor of electromechanics in the modeling of technical objects is reflected in three groups of competencies: general scientific, general professional and specialized professional. The implementation of the technique of using MID in learning bachelors of electromechanics in modeling of technical objects is the appropriate methodic of using, the component of which is partial methods for using MID in the formation of the general scientific component of the bachelor of electromechanics competency in modeling of technical objects, are disclosed by example academic disciplines “Higher mathematics”, “Computers and programming”, “Engineering mechanics”, “Electrical machines”. The leading tools of formation of the general scientific component of bachelor in electromechanics competency in modeling of technical objects are augmented reality mobile tools (to visualize the objects’ structure and modeling results), mobile computer mathematical systems (universal tools used at all stages of modeling learning), cloud based spreadsheets (as modeling tools) and text editors (to make the program description of model), mobile computer-aided design systems (to create and view the physical properties of models of technical objects) and mobile communication tools (to organize a joint activity in modeling).

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