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Artículos de revistas sobre el tema "Parallel computers Evaluation"

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 11 de febrero de 2022

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1

Choudhary, A., Wei-Keng Liao, D. Weiner, P. Varshney, R. Linderman, M. Linderman, and R. Brown. "Design, implementation and evaluation of parallel pipelined STAP on parallel computers." IEEE Transactions on Aerospace and Electronic Systems 36, no. 2 (April 2000): 528–48. http://dx.doi.org/10.1109/7.845238.

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2

Moorthi, M. Narayana, and R. Manjula. "Performance Evaluation and Analysis of Parallel Computers Workload." International Journal of Grid and Distributed Computing 9, no. 1 (January 31, 2016): 127–34. http://dx.doi.org/10.14257/ijgdc.2016.9.1.13.

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3

TOUYAMA, TAKAYOSHI, and SUSUMU HORIGUCHI. "PERFORMANCE EVALUATION OF PRACTICAL PARALLEL COMPUTER MODEL LogPQ." International Journal of Foundations of Computer Science 12, no. 03 (June 2001): 325–40. http://dx.doi.org/10.1142/s0129054101000515.

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The present super computer will be replaced by a massively parallel computer consisting of a large number of processing elements which satisfy the continuous increasing depend for computing power. Practical parallel computing model has been expected to develop efficient parallel algorithms on massively parallel computers. Thus, we have presented a practical parallel computation model LogPQ by taking account of communication queues into the LogP model. This paper addresses the performance of a parallel matrix multiplication algorithm using LogPQ and LogP models. The parallel algorithm is implem

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4

KRUSCHE, PETER. "EXPERIMENTAL EVALUATION OF BSP PROGRAMMING LIBRARIES." Parallel Processing Letters 18, no. 01 (March 2008): 7–21. http://dx.doi.org/10.1142/s0129626408003193.

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The model of bulk-synchronous parallel computation (BSP) helps to implement portable general purpose algorithms while maintaining predictable performance on different parallel computers. Nevertheless, when programming in ‘BSP style’, the running time of the implementation of an algorithm can be very dependent on the underlying communication library. In this study, an overview of existing approaches to practical BSP programming in C/C++ or Fortran is given and benchmarks were run for the two main BSP-like communication libraries, the Oxford BSP Toolset and PUB. Furthermore, a memory efficient m

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5

Onbasioglu, E., and Y. Paker. "A comparative workload-based methodology for performance evaluation of parallel computers." Future Generation Computer Systems 12, no. 6 (June 1997): 521–45. http://dx.doi.org/10.1016/s0167-739x(97)83070-1.

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6

Furht, B. "A contribution to classification and evaluation of structures for parallel computers." Microprocessing and Microprogramming 25, no. 1-5 (January 1989): 203–8. http://dx.doi.org/10.1016/0165-6074(89)90196-8.

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7

BLÖTE, H. W. J. "Statistical Mechanics and Special-Purpose Computers." International Journal of Modern Physics C 02, no. 01 (March 1991): 14–20. http://dx.doi.org/10.1142/s0129183191000032.

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A number of special-purpose computers (SPC’s) have been built in the last two decades, and more are under construction. In parallel with the evolution of generalpurpose computers, the capacity of the fastest SPC’s has grown considerably in this period. The increase of speed is partly due to the availability of faster components, but even more important is the introduction of new architectures using pipelining and parallel processing. Apart from becoming faster on the average, a pronounced diversification has taken place in SPC’s which does not only affect their speed but also their versatility

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8

Sueyoshi, Toshinori, Keizo Saisho, and Itsujiro Arita. "Performance evaluation of the binary tree access mechanism in mimd type parallel computers." Systems and Computers in Japan 17, no. 9 (1986): 47–57. http://dx.doi.org/10.1002/scj.4690170906.

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9

Nguyen Thu, Thuy. "Parallel iteration of two-step Runge-Kutta methods." Journal of Science Natural Science 66, no. 1 (March 2021): 12–24. http://dx.doi.org/10.18173/2354-1059.2021-0002.

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In this paper, we introduce the Parallel iteration of two-step Runge-Kutta methods for solving non-stiff initial-value problems for systems of first-order differential equations (ODEs): y′(t) = f(t, y(t)), for use on parallel computers. Starting with an s−stage implicit two-step Runge-Kutta (TSRK) method of order p, we apply the highly parallel predictor-corrector iteration process in P (EC)mE mode. In this way, we obtain an explicit two-step Runge-Kutta method that has order p for all m, and that requires s(m+1) right-hand side evaluations per step of which each s evaluation can be computed p

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10

Gupta, Anshul, Fred G. Gustavson, Mahesh Joshi, and Sivan Toledo. "The design, implementation, and evaluation of a symmetric banded linear solver for distributed-memory parallel computers." ACM Transactions on Mathematical Software 24, no. 1 (March 1998): 74–101. http://dx.doi.org/10.1145/285861.285865.

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11

Fu, Zheng-Qing, John Chrzas, George M. Sheldrick, John Rose, and Bi-Cheng Wang. "A parallel program usingSHELXDfor quick heavy-atom partial structural solution on high-performance computers." Journal of Applied Crystallography 40, no. 2 (March 12, 2007): 387–90. http://dx.doi.org/10.1107/s0021889807003998.

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A parallel algorithm has been designed forSHELXDto solve the heavy-atom partial structures of protein crystals quickly. Based on this algorithm, a program has been developed to run on high-performance multiple-CPU Linux PCs, workstations or clusters. Tests on the 32-CPU Linux cluster at SER-CAT, APS, Argonne National Laboratory, show that the parallelization dramatically speeds up the process by a factor of roughly the number of CPUs applied, leading to reliable and instant heavy-atom sites solution, which provides the practical opportunity to employ heavy-atom search as an alternative tool fo

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12

Puzyrev, Vladimir, Seid Koric, and Scott Wilkin. "Evaluation of parallel direct sparse linear solvers in electromagnetic geophysical problems." Computers & Geosciences 89 (April 2016): 79–87. http://dx.doi.org/10.1016/j.cageo.2016.01.009.

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13

Aslot, Vishal, and Rudolf Eigenmann. "Quantitative Performance Analysis of the SPEC OMPM2001 Benchmarks." Scientific Programming 11, no. 2 (2003): 105–24. http://dx.doi.org/10.1155/2003/401032.

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The state of modern computer systems has evolved to allow easy access to multiprocessor systems by supporting multiple processors on a single physical package. As the multiprocessor hardware evolves, new ways of programming it are also developed. Some inventions may merely be adopting and standardizing the older paradigms. One such evolving standard for programming shared-memory parallel computers is the OpenMP API. The Standard Performance Evaluation Corporation (SPEC) has created a suite of parallel programs called SPEC OMP to compare and evaluate modern shared-memory multiprocessor systems

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14

Wiebe, James H. "Teaching Mathematics with Technology: Order of Operations." Arithmetic Teacher 37, no. 3 (November 1989): 36–38. http://dx.doi.org/10.5951/at.37.3.0036.

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The NCTM's recently released Curriculum and Evaluation Standards for School Mathematics (1989) recommends that calculators and computers be freely available to elementary school students for solving mathematical problems, exploring potterns and concepts, and investigating realistic applications. Most students, however, need some help in learning to use these tools, especially if they are using them with problems involving more than one operation, as many realistic applications do. They need to know that different calculators or computer software tools use different internal algorithms for find

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15

Laybourn, Mark, and John Pascoe. "What happens when quantum computing re-defines the assessment of investment risk?" APPEA Journal 57, no. 2 (2017): 486. http://dx.doi.org/10.1071/aj16140.

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The dawn of quantum computing is upon us and as the world’s smartest minds determine how the technology will change our daily lives, we consider how it could benefit investors in oil and gas projects to make better decisions. The oil and gas industry relies on investment for its survival and investors expect a return commensurate with the risks of a project. The classical approach to investment evaluation relies on mathematics in which estimated project cash flows are assessed against a cost of capital and an upfront investment. The issue with this approach is the key assumptions which underpi

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16

Zhamanov, Azamat, Seong-MooYoo, Zhulduz Sakhiyeva, and Meirambek Zhaparov. "Implementation and Evaluation of Flipped Classroom as IoT Element into Learning Process of Computer Network Education." International Journal of Information and Communication Technology Education 14, no. 2 (April 2018): 30–47. http://dx.doi.org/10.4018/ijicte.2018040103.

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Students nowadays are hard to be motivated to study lessons with traditional teaching methods. Computers, smartphones, tablets and other smart devices disturb students' attentions. Nevertheless, those smart devices can be used as auxiliary tools of modern teaching methods. In this article, the authors review two popular modern teaching methods: flipped classroom and gamification. Next, they implement flipped classrooms as an element of IoT (Internet of Things) into learning process of computer networks course, by using Cisco networking academy tools, instead of traditional learning. The survey

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17

Ballestrero, P., P. Baglietto, and C. Ruggiero. "Molecular dynamics for proteins: Performance evaluation on massively parallel computers based on mesh networks using a space decomposition approach." Journal of Computational Chemistry 17, no. 4 (March 1996): 469–75. http://dx.doi.org/10.1002/(sici)1096-987x(199603)17:4<469::aid-jcc7>3.0.co;2-s.

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18

Nunome, Atsushi, Hiroaki Hirata, Haruo Niimi, and Kiyoshi Shibayama. "Performance evaluation of dynamic load balancing scheme with load prediction mechanism using the load growing acceleration for massively parallel computers." Systems and Computers in Japan 35, no. 11 (2004): 69–79. http://dx.doi.org/10.1002/scj.10212.

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19

Zaharov, A. I., V. A. Lokhvitskii, D. Yu Starobinets, and A. D. Khomonenko. "Evaluation of the impact of parallel image processing on the operational efficiency of the Earth remote sensing spacecraft control complex." Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa 16, no. 1 (2019): 61–71. http://dx.doi.org/10.21046/2070-7401-2019-16-1-61-71.

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20

YAMAGIWA, SHINICHI, LEONEL SOUSA, KEVIN FERREIRA, KEIICHI AOKI, MASAAKI ONO, and KOICHI WADA. "MAESTRO2: EXPERIMENTAL EVALUATION OF COMMUNICATION PERFORMANCE IMPROVEMENT TECHNIQUES IN THE LINK LAYER." Journal of Interconnection Networks 07, no. 02 (June 2006): 295–318. http://dx.doi.org/10.1142/s0219265906001715.

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Cluster computers became the vehicle of choice to build high performance computing environments. To fully exploit the computing power of these environments, technologies for high performance networks and protocols have to be applied, since the communication patterns of parallel applications running on clusters demand low latency and high throughput. Our previous work identifies the main drawbacks of conventional network technologies, and proposed some techniques to solve them within a new network solution called Maestro. This paper describes not only the architecture and the evaluation platfor

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21

Forster, Richárd, and Fülöp Ágnes. "Jet browser model accelerated by GPUs." Acta Universitatis Sapientiae, Informatica 8, no. 2 (December 1, 2016): 171–85. http://dx.doi.org/10.1515/ausi-2016-0008.

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Abstract In the last centuries the experimental particle physics began to develop thank to growing capacity of computers among others. It is allowed to know the structure of the matter to level of quark gluon. Plasma in the strong interaction. Experimental evidences supported the theory to measure the predicted results. Since its inception the researchers are interested in the track reconstruction. We studied the jet browser model, which was developed for 4π calorimeter. This method works on the measurement data set, which contain the components of interaction points in the detector space and

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22

Hirahara, Kazuro. "Toward Advanced Earthquake Cycle Simulation." Journal of Disaster Research 4, no. 2 (April 1, 2009): 99–105. http://dx.doi.org/10.20965/jdr.2009.p0099.

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Recent earthquake cycle simulation based on laboratory derived rate and state friction laws with super-parallel computers have successfully reproduced historical earthquake cycles. Earthquake cycle simulation is thus a powerful tool for providing information on the occurrence of the next Nankai megathrust earthquake, if simulation is combined with data assimilation for historical data and recently ongoing crustal activity data observed by networks extending from the land to the ocean floor. Present earthquake cycle simulation assumes simplifications in calculation, however, that differ from ac

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23

KALYANARAMAN, ANANTHARAMAN, and SRINIVAS ALURU. "EFFICIENT ALGORITHMS AND SOFTWARE FOR DETECTION OF FULL-LENGTH LTR RETROTRANSPOSONS." Journal of Bioinformatics and Computational Biology 04, no. 02 (April 2006): 197–216. http://dx.doi.org/10.1142/s021972000600203x.

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LTR retrotransposons constitute one of the most abundant classes of repetitive elements in eukaryotic genomes. In this paper, we present a new algorithm for detection of full-length LTR retrotransposons in genomic sequences. The algorithm identifies regions in a genomic sequence that show structural characteristics of LTR retrotransposons. Three key components distinguish our algorithm from that of current software — (i) a novel method that preprocesses the entire genomic sequence in linear time and produces high quality pairs of LTR candidates in run-time that is constant per pair, (ii) a tho

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24

Zhang, Y., and H. A. Salisch. "APPLICATION OF NEURAL NETWORKS TO THE EVALUATION OF RESERVOIR QUALITY IN A LITHOLOGICALLY COMPLEX FORMATION." APPEA Journal 38, no. 1 (1998): 776. http://dx.doi.org/10.1071/aj97051.

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Neural networks are non-algorithmic, analog, distributive and massively parallel information processing systems that have a number of performance characteristics in common with biological neural networks or the human brain. Neural networks can simulate the nervous systems of living animals which work differently from conventional computing, to analyse, compute and solve some complex practical problems making use of computers. Neural networks are able to discover highly complex relationships between several variables that are presented to the network. Studies show that neural networks can be us

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25

Lu, Qiao, Silin Li, Tuo Yang, and Chenheng Xu. "An adaptive hybrid XdeepFM based deep Interest network model for click-through rate prediction system." PeerJ Computer Science 7 (September 17, 2021): e716. http://dx.doi.org/10.7717/peerj-cs.716.

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Recent advances in communication enable individuals to use phones and computers to access information on the web. E-commerce has seen rapid development, e.g., Alibaba has nearly 12 hundred million customers in China. Click-Through Rate (CTR) forecasting is a primary task in the e-commerce advertisement system. From the traditional Logistic Regression algorithm to the latest popular deep neural network methods that follow a similar embedding and MLP, several algorithms are used to predict CTR. This research proposes a hybrid model combining the Deep Interest Network (DIN) and eXtreme Deep Facto

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26

Ivetić, Damjan, Željko Vasilić, Miloš Stanić та Dušan Prodanović. "Speeding up the water distribution network design optimization using the ΔQ method". Journal of Hydroinformatics 18, № 1 (21 січня 2015): 33–48. http://dx.doi.org/10.2166/hydro.2015.118.

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To optimize the design of a water distribution network (WDN), a large number of possible solutions need to be examined; hence computation efficiency is an important issue. To accelerate the computation, one can use more powerful computers, parallel computing systems with adapted hydraulic solvers, hybrid algorithms, more efficient hydraulic methods or any combination of these techniques. This paper explores the possibility to speed up optimization using variations of the ΔQ method to solve the network hydraulics. First, the ΔQ method was used inside the evaluation function where each tested al

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27

Min, Li, Ya Nan Zhang, and Zhen Bang Gong. "Development of a Robotic System to Examine Outer Cylinder of Pipes in Steam Generators." Advanced Materials Research 228-229 (April 2011): 38–43. http://dx.doi.org/10.4028/www.scientific.net/amr.228-229.38.

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The examination of outer cylinder of pipes in steam generators is difficult to fulfill due to confined space. A robotic system has been developed to do the job. The robot contains a base, four rotary balls, a slide guide, two steppers, a DC motor, a positioning mechanism, a synchromesh belt mechanism, a longitudinal mobile platform, an extending and retracting mechanism, a rotary platform and a micro vehicle. The positioning mechanism can locate and fix the robot efficiently. The motion of the robot consists of longitudinal motion and transverse motion. The extending and retracting mechanism c

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28

Kvale, Karin F., Samar Khatiwala, Heiner Dietze, Iris Kriest, and Andreas Oschlies. "Evaluation of the transport matrix method for simulation of ocean biogeochemical tracers." Geoscientific Model Development 10, no. 6 (June 29, 2017): 2425–45. http://dx.doi.org/10.5194/gmd-10-2425-2017.

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Abstract. Conventional integration of Earth system and ocean models can accrue considerable computational expenses, particularly for marine biogeochemical applications. Offline numerical schemes in which only the biogeochemical tracers are time stepped and transported using a pre-computed circulation field can substantially reduce the burden and are thus an attractive alternative. One such scheme is the transport matrix method (TMM), which represents tracer transport as a sequence of sparse matrix–vector products that can be performed efficiently on distributed-memory computers. While the TMM

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29

Wang, Shan Shan, and Stephen Mahin. "High-Performance Computer-Aided Optimization of Viscous Dampers for Improving the Seismic Performance of a Tall Steel Building." Key Engineering Materials 763 (February 2018): 502–9. http://dx.doi.org/10.4028/www.scientific.net/kem.763.502.

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Using fluid viscous dampers (FVDs) has been demonstrated to be an effective method to improve seismic performance of new and existing buildings. In engineering applications, designs of these dampers mainly rely on trial and error, which could be repetitive and labor intensive. To improve this tedious manual process, it is beneficial to explore more formal and automated approaches that rely on recent advances in software applications for nonlinear dynamic analysis, performance-based evaluation, and workflow management and the computational power of high-performance, parallel processing computer

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30

Zhao, Qingyun, Fuqing Zhang, Teddy Holt, Craig H. Bishop, and Qin Xu. "Development of a Mesoscale Ensemble Data Assimilation System at the Naval Research Laboratory." Weather and Forecasting 28, no. 6 (December 1, 2013): 1322–36. http://dx.doi.org/10.1175/waf-d-13-00015.1.

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Abstract An ensemble Kalman filter (EnKF) has been adopted and implemented at the Naval Research Laboratory (NRL) for mesoscale and storm-scale data assimilation to study the impact of ensemble assimilation of high-resolution observations, including those from Doppler radars, on storm prediction. The system has been improved during its implementation at NRL to further enhance its capability of assimilating various types of meteorological data. A parallel algorithm was also developed to increase the system’s computational efficiency on multiprocessor computers. The EnKF has been integrated into

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31

van Peursen, Wido, and Eep Talstra. "Computer-Assisted Analysis of Parallel Texts in the Bible. The Case of 2 Kings xviii-xix and Its Parallels in Isaiah and Chronicles." Vetus Testamentum 57, no. 1 (2007): 45–72. http://dx.doi.org/10.1163/15685337x167855.

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AbstractIn literary-critical and text historical studies of the Bible the comparison of parallel texts plays an important role. Starting from the description of the proximity of parallel texts as a continuum from very close to very loose, this article discusses the way in which the computer can facilitate a comparison of various types of parallel texts. 2 Kings 18-19 and Isaiah 37-38 are taken as an example of two closely related texts. The Kings chapters and their parallels in 2 Chronicles 32 occupy a position at the other side of the continuum. These chapters differ so much, that it is somet

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32

Kodama, Yuetsu, Shuichi Sakai, and Yoshinori Yamaguchi. "Evaluation of parallel execution performance by highly parallel computer EM-4." Systems and Computers in Japan 24, no. 9 (1993): 32–41. http://dx.doi.org/10.1002/scj.4690240904.

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33

Shkatuliak, Natalia, and Iryna Zadorozhna. "Students’ knowledge test control in Physics." Scientific bulletin of South Ukrainian National Pedagogical University named after K. D. Ushynsky 2019, no. 4 (129) (December 26, 2019): 143–49. http://dx.doi.org/10.24195/2617-6688-2019-4-18.

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Controlling learners’ educational achievements in our time performs the most important function of learning. Scientists and methodologists argue that the test control of students’ academic achievement meets the requirements of quantitative and objective measurement of learners’ knowledge, skills and abilities. The relevance of the test controlling method of learners’ academic achievements is dictated also by the introduction of the independent external evaluation (IEE) as a final certification of school leavers. With the emergence of computer classes, the use of tests became available and appr

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34

Stpiczyński, Przemysław. "Evaluating recursive filters on distributed memory parallel computers." Communications in Numerical Methods in Engineering 22, no. 11 (April 6, 2006): 1087–95. http://dx.doi.org/10.1002/cnm.867.

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35

Consel, Charles, and Olivier Danvy. "Partial evaluation in parallel." Lisp and Symbolic Computation 5, no. 4 (December 1993): 327–42. http://dx.doi.org/10.1007/bf01806309.

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36

Ziavras, Sotirios G., Haim Grebel, Anthony T. Chronopoulos, and Florent Marcelli. "A new-generation parallel computer and its performance evaluation." Future Generation Computer Systems 17, no. 3 (November 2000): 315–33. http://dx.doi.org/10.1016/s0167-739x(00)00082-0.

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37

Huang, Kuo-Chan. "Minimizing Waiting Ratio for Dynamic Workload on Parallel Computers." Parallel Processing Letters 16, no. 04 (December 2006): 441–53. http://dx.doi.org/10.1142/s0129626406002769.

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This paper proposes waiting ratio as a basis in evaluating various scheduling methods for dynamic workloads consisting of multi-processor jobs on parallel computers. We evaluate commonly used methods as well as several methods proposed in this paper by simulation studies. The results indicate that some commonly used methods do not improve the waiting ratios as expected by intuition, while some methods proposed in this paper do greatly improve waiting ratios more than 10 times for some workload data, promising in leading to more reasonable waiting time and better user's satisfaction.

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38

Orii, Shigeo. "Metrics for evaluation of parallel efficiency toward highly parallel processing." Parallel Computing 36, no. 1 (January 2010): 16–25. http://dx.doi.org/10.1016/j.parco.2009.11.003.

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39

RACCA, R. G., Z. MENG, J. M. OZARD, and M. J. WILMUT. "EVALUATION OF MASSIVELY PARALLEL COMPUTING FOR EXHAUSTIVE AND CLUSTERED MATCHED-FIELD PROCESSING." Journal of Computational Acoustics 04, no. 02 (June 1996): 159–73. http://dx.doi.org/10.1142/s0218396x96000039.

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Many computer algorithms contain an operation that accounts for a substantial portion of the total execution cost in a frequently executed loop. The use of a parallel computer to execute that operation may represent an alternative to a sheer increase in processor speed. The signal processing technique known as matched-field processing (MFP) involves performing identical and independent operations on a potentially huge set of vectors. To investigate a massively parallel approach to MFP and clustered nearest neighbors MFP, algorithms were implemented on a DECmpp 12000 massively parallel computer

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40

Stpiczyński, Przemysław. "Fast Parallel Algorithm for Polynomial Evaluation." Parallel Algorithms and Applications 18, no. 4 (December 2003): 209–16. http://dx.doi.org/10.1080/10637190310001633673.

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41

KIPER, AYSE. "PARALLEL POLYNOMIAL EVALUATION BY DECOUPLING ALGORITHM." Parallel Algorithms and Applications 9, no. 1-2 (January 1996): 145–52. http://dx.doi.org/10.1080/10637199608915570.

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42

Tsai, Jeffrey J. P., Bing Li, and Eric Y. T. Juan. "Parallel evaluation of software architecture specifications." Communications of the ACM 40, no. 1 (January 1997): 83–86. http://dx.doi.org/10.1145/242857.242881.

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43

Luque, Emilio, Remo Suppi, and Joan Sorribes. "Simulation of parallel systems: PSEE (Parallel System Evaluation Environment)." Future Generation Computer Systems 10, no. 2-3 (June 1994): 291–94. http://dx.doi.org/10.1016/0167-739x(94)90031-0.

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44

Uehara, Kiyohiko, and Kaoru Hirota. "A Fast Method for Fuzzy Rules Learning with Derivative-Free Optimization by Formulating Independent Evaluations of Each Fuzzy Rule." Journal of Advanced Computational Intelligence and Intelligent Informatics 25, no. 2 (March 20, 2021): 213–25. http://dx.doi.org/10.20965/jaciii.2021.p0213.

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A method is proposed for evaluating fuzzy rules independently of each other in fuzzy rules learning. The proposed method is named α-FUZZI-ES (α-weight-based fuzzy-rule independent evaluations) in this paper. In α-FUZZI-ES, the evaluation value of a fuzzy system is divided out among the fuzzy rules by using the compatibility degrees of the learning data. By the effective use of α-FUZZI-ES, a method for fast fuzzy rules learning is proposed. This is named α-FUZZI-ES learning (α-FUZZI-ES-based fuzzy rules learning) in this paper. α-FUZZI-ES learning is especially effective when evaluation functio

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45

Cruz, Henry, Martina Eckert, Juan M. Meneses, and J. F. Martínez. "Fast Evaluation of Segmentation Quality with Parallel Computing." Scientific Programming 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/5767521.

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In digital image processing and computer vision, a fairly frequent task is the performance comparison of different algorithms on enormous image databases. This task is usually time-consuming and tedious, such that any kind of tool to simplify this work is welcome. To achieve an efficient and more practical handling of a normally tedious evaluation, we implemented the automatic detection system, with the help of MATLAB®’s Parallel Computing Toolbox™. The key parts of the system have been parallelized to achieve simultaneous execution and analysis of segmentation algorithms on the one hand and t

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Waite, Martin, Bret Giddings, and Simon Lavington. "Parallel associative combinator evaluation II." Future Generation Computer Systems 8, no. 4 (September 1992): 303–19. http://dx.doi.org/10.1016/0167-739x(92)90065-j.

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Baker-Finch, Clem, David J. King, and Phil Trinder. "An operational semantics for parallel lazy evaluation." ACM SIGPLAN Notices 35, no. 9 (September 2000): 162–73. http://dx.doi.org/10.1145/357766.351256.

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Frenkel, Karen A. "Evaluating two massively parallel machines." Communications of the ACM 29, no. 8 (August 1986): 752–58. http://dx.doi.org/10.1145/6424.6427.

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Buker, U., and B. Mertsching. "Parallel Evaluation of Hierarchical Image Databases." Journal of Parallel and Distributed Computing 31, no. 2 (December 1995): 141–52. http://dx.doi.org/10.1006/jpdc.1995.1152.

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Muller, D. E., and F. P. Preparata. "Parallel restructuring and evaluation of expressions." Journal of Computer and System Sciences 44, no. 1 (February 1992): 43–62. http://dx.doi.org/10.1016/0022-0000(92)90003-2.

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