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Journal articles on the topic 'Parallel information processing'

Author: Grafiati
Published: 3 June 2025
Last updated: 23 June 2025

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1

Perten, Herbert, and Ralph Scallion. "Parallel ultrasonic information processing." Journal of the Acoustical Society of America 85, no. 6 (1989): 2701. http://dx.doi.org/10.1121/1.397283.

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2

Montreuil, Michèle, R. Roland, J. Jouvent, Solange Carton, Catherine Bungener, and Daniel Widlöcher. "Parallel Visual Information Processing Test." Psychotherapy and Psychosomatics 56, no. 4 (1991): 212–19. http://dx.doi.org/10.1159/000288558.

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3

Kim, Young Dal, Kyu Ho Park, and Hyung Leekwang. "Parallel fuzzy information processing system." Fuzzy Sets and Systems 72, no. 3 (1995): 323–29. http://dx.doi.org/10.1016/0165-0114(94)00294-h.

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4

Evans, DJ. "Parallel processing." Data Processing 28, no. 10 (1986): 529–42. http://dx.doi.org/10.1016/0011-684x(86)90070-5.

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5

America, P. H. M., B. J. A. Hulshof, E. A. M. Odijk, F. Sijstermans, R. A. H. van Twist, and R. h. H. Wester. "Parallel computers for advanced information processing." IEEE Micro 10, no. 6 (1990): 12–15. http://dx.doi.org/10.1109/40.62724.

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6

Keane, J. A. "Parallel systems in financial information processing." Concurrency: Practice and Experience 8, no. 10 (1996): 757–68. http://dx.doi.org/10.1002/(sici)1096-9128(199612)8:10<757::aid-cpe271>3.0.co;2-q.

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7

Rasmussen, Edie M. "Introduction: Parallel processing and information retrieval." Information Processing & Management 27, no. 4 (1991): 255–63. http://dx.doi.org/10.1016/0306-4573(91)90083-x.

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8

Panesar, Gajinder, Daniel Towner, Andrew Duller, Alan Gray, and Will Robbins. "Deterministic Parallel Processing." International Journal of Parallel Programming 34, no. 4 (2006): 323–41. http://dx.doi.org/10.1007/s10766-006-0019-9.

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9

A. Milshteyn, A. Alegre, J. Estrada, et al. "High-Performance Parallel Processing Aerospace Information Server." Journal of Next Generation Information Technology 1, no. 3 (2010): 84–95. http://dx.doi.org/10.4156/jnit.vol1.issue3.10.

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10

de Silva, A. Prasanna, S. Sisira K. de Silva, Nalin C. W. Goonesekera, et al. "Analog Parallel Processing of Molecular Sensory Information." Journal of the American Chemical Society 129, no. 11 (2007): 3050–51. http://dx.doi.org/10.1021/ja0686514.

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11

Vaaga, Christopher E., and Gary L. Westbrook. "Parallel processing of afferent olfactory sensory information." Journal of Physiology 594, no. 22 (2016): 6715–32. http://dx.doi.org/10.1113/jp272755.

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12

Carney, Thom, Michael Shadlen, and Eugene Switkes. "Parallel processing of motion and colour information." Nature 328, no. 6131 (1987): 647–49. http://dx.doi.org/10.1038/328647a0.

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13

Lee, Kyong-Ha, Yoon-Joon Lee, Hyunsik Choi, Yon Dohn Chung, and Bongki Moon. "Parallel data processing with MapReduce." ACM SIGMOD Record 40, no. 4 (2012): 11–20. http://dx.doi.org/10.1145/2094114.2094118.

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14

Schiller, P. H. "Parallel information processing channels created in the retina." Proceedings of the National Academy of Sciences 107, no. 40 (2010): 17087–94. http://dx.doi.org/10.1073/pnas.1011782107.

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15

Vincent, Benjamin T. "Search asymmetries: Parallel processing of uncertain sensory information." Vision Research 51, no. 15 (2011): 1741–50. http://dx.doi.org/10.1016/j.visres.2011.05.017.

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16

Erkdmen, A. M. "Parallel Distributed Information Processing Based on Fractal Conductivity." IFAC Proceedings Volumes 24, no. 5 (1991): 147–52. http://dx.doi.org/10.1016/s1474-6670(17)51239-2.

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17

Armstrong, Marc P., Claire E. Pavlik, and Richard Marciano. "Parallel processing of spatial statistics." Computers & Geosciences 20, no. 2 (1994): 91–104. http://dx.doi.org/10.1016/0098-3004(94)90001-9.

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18

Ziane, Mikal, Mohamed Za�t, and Pascale Borla-Salamet. "Parallel query processing with zigzag trees." VLDB Journal 2, no. 3 (1993): 277–301. http://dx.doi.org/10.1007/bf01228672.

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19

Willett, Peter. "Textual and chemical information processing using parallel computer hardware." Journal of Information Science 15, no. 4-5 (1989): 223–36. http://dx.doi.org/10.1177/016555158901500405.

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This paper discusses the use of parallel computer hardware to increase the efficiency of processing in databases of text and chemical structures. After a general introduction to parallelism, two types of parallel computer are described: the ICL Distrib uted Array Processor and the INMOS Transputer. Experimen tal results are presented of the use of the DAP for cluster analysis, of the transputer for chemical substructure and maxi mal common substructure searching, and of both machines for text retrieval.
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20

Tseng, Emy, and David Reiner. "Parallel database processing on the KSR1 computer." ACM SIGMOD Record 22, no. 2 (1993): 453–55. http://dx.doi.org/10.1145/170036.170131.

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21

Li, Jianping Kelvin, and Kwan-Liu Ma. "P4: Portable Parallel Processing Pipelines for Interactive Information Visualization." IEEE Transactions on Visualization and Computer Graphics 26, no. 3 (2020): 1548–61. http://dx.doi.org/10.1109/tvcg.2018.2871139.

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22

Willett, P. "Textual and chemical information processing using parallel computer hardware." Journal of Studies in International Education 15, no. 4-5 (1989): 223–36. http://dx.doi.org/10.1177/102831538901500405.

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23

Willett, Peter. "Parallel processing in information systems: John W. Van Zandt." International Journal of Information Management 13, no. 1 (1993): 73–74. http://dx.doi.org/10.1016/0268-4012(93)90052-6.

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24

Knösche, Thomas R., Sonja Lattner, Burkhard Maess, Michael Schauer, and Angela D. Friederici. "Early Parallel Processing of Auditory Word and Voice Information." NeuroImage 17, no. 3 (2002): 1493–503. http://dx.doi.org/10.1006/nimg.2002.1262.

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25

Kroc, Jiří. "Emergent Information Processing: Observations, Experiments, and Future Directions." Software 3, no. 1 (2024): 81–106. http://dx.doi.org/10.3390/software3010005.

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Science is currently becoming aware of the challenges in the understanding of the very root mechanisms of massively parallel computations that are observed in literally all scientific disciplines, ranging from cosmology to physics, chemistry, biochemistry, and biology. This leads us to the main motivation and simultaneously to the central thesis of this review: “Can we design artificial, massively parallel, self-organized, emergent, error-resilient computational environments?” The thesis is solely studied on cellular automata. Initially, an overview of the basic building blocks enabling us to reach this end goal is provided. Important information dealing with this topic is reviewed along with highly expressive animations generated by the open-source, Python, cellular automata software GoL-N24. A large number of simulations along with examples and counter-examples, finalized by a list of the future directions, are giving hints and partial answers to the main thesis. Together, these pose the crucial question of whether there is something deeper beyond the Turing machine theoretical description of massively parallel computing. The perspective, future directions, including applications in robotics and biology of this research, are discussed in the light of known information.
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26

Moldovan, D. I., W. Lee, and C. Lin. "Parallel knowledge processing on SNAP." IEEE Transactions on Knowledge and Data Engineering 5, no. 1 (1993): 65–75. http://dx.doi.org/10.1109/69.204092.

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27

Grelck, Clemens, and Cédric Blom. "Resource-Aware Data Parallel Array Processing." International Journal of Parallel Programming 48, no. 4 (2020): 652–74. http://dx.doi.org/10.1007/s10766-020-00664-0.

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28

Shekhel, Alex, and Eva Freeman. "Parallel Processing Creates a Low‐Cost Growth Path." Library Hi Tech 5, no. 2 (1987): 19–25. http://dx.doi.org/10.1108/eb047686.

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29

Armstrong, Marc P., and Richard Marciano. "Massively parallel processing of spatial statistics." International journal of geographical information systems 9, no. 2 (1995): 169–89. http://dx.doi.org/10.1080/02693799508902032.

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30

Delgado-Frias, JoséG, and Will R. Moore. "Parallel architectures for AI semantic network processing." Knowledge-Based Systems 1, no. 5 (1988): 259–65. http://dx.doi.org/10.1016/0950-7051(88)90079-2.

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31

Yuji, Hiroki. "Computer Games and Information-Processing Skills." Perceptual and Motor Skills 83, no. 2 (1996): 643–47. http://dx.doi.org/10.2466/pms.1996.83.2.643.

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To assess the association of past use of computer games and parallel-processing skills as measured by tests of discrimination perception using computers 46 boys and girls in kindergarten, aged 4 to 6 years, were classified into 17 player and 17 nonplayer groups by their enthusiasm for computer games. There were no significant differences between the two groups in correct responses; however, RTs of players were significantly faster than those of nonplayers. RTs were different to color and shape. Experiences with computer games might develop information-processing skills.
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32

Ishikawa, Masatoshi. "Active Sensor System Using Parallel Processing Circuits." Journal of Robotics and Mechatronics 5, no. 1 (1993): 31–37. http://dx.doi.org/10.20965/jrm.1993.p0031.

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In this paper, an active sensor system using parallel processing circuits is proposed and its characteristics are discussed. From the perspective of a model of active touch sensory processing mechanism, the system uses information of efferent copy and internal actuator model in order to generate active motions from the local pattern information detected by local pattern sensors, such as tactile sensors. In addition, an experimental system and its basic experimental results are described. The experimental system is a sensor system for active perception of the shape of two-dimensional objects by tracing the edge of the objects. The system realizes both high speed processing of the local pattern and real-time control of the actuator.
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33

Peck, Simon, M. G. Singh, A. Y. Allinda, and B. K. Daniels. "Parallel Processing Techniques for Simulation." Journal of the Operational Research Society 40, no. 3 (1989): 307. http://dx.doi.org/10.2307/2583348.

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34

Mayne, Alan J., A. Kurzhanski, K. Neumann, and D. Pallaschke. "Optimization, Parallel Processing and Applications." Journal of the Operational Research Society 40, no. 6 (1989): 613. http://dx.doi.org/10.2307/2583553.

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35

Mayne, Alan J. "Optimization, Parallel Processing and Applications." Journal of the Operational Research Society 40, no. 6 (1989): 613–14. http://dx.doi.org/10.1057/jors.1989.102.

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36

Peck, Simon. "Parallel Processing Techniques for Simulation." Journal of the Operational Research Society 40, no. 3 (1989): 307. http://dx.doi.org/10.1057/jors.1989.45.

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37

Rahm, Erhard. "Parallel query processing in shared disk database systems." ACM SIGMOD Record 22, no. 4 (1993): 32–37. http://dx.doi.org/10.1145/166635.166649.

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38

Shatdal, Ambuj, and Jeffrey F. Naughton. "Using shared virtual memory for parallel join processing." ACM SIGMOD Record 22, no. 2 (1993): 119–28. http://dx.doi.org/10.1145/170036.170062.

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39

Selianinau, Mikhail. "Modularne zasady równoległe potokowego przetwarzania informacji." Prace Naukowe Akademii im. Jana Długosza w Częstochowie. Technika, Informatyka, Inżynieria Bezpieczeństwa 5 (2017): 147–53. http://dx.doi.org/10.16926/tiib.2017.05.12.

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40

Wolfs, Jeremy M., Stacia R. Friedman-Hill, and Alexander B. Bilsky. "Parallel processing of park-whole information in visual search tasks." Perception & Psychophysics 55, no. 5 (1994): 537–50. http://dx.doi.org/10.3758/bf03205311.

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41

Lu Zhijun, 陆智俊, 贲. 德. Ben De, and 毛博年 Mao Bonian. "Resource-constrained parallel information processing methods based on reconfigurable technology." Infrared and Laser Engineering 45, no. 11 (2016): 1126003. http://dx.doi.org/10.3788/irla201645.1126003.

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42

Lee, Sang-Gu, and Kageo Akizuki. "Design of an Effective Parallel Architecture for Fuzzy Information Processing." IEEJ Transactions on Electronics, Information and Systems 118, no. 7-8 (1998): 1190–95. http://dx.doi.org/10.1541/ieejeiss1987.118.7-8_1190.

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43

Lu Zhijun, 陆智俊, 贲. 德. Ben De, and 毛博年 Mao Bonian. "Resource-constrained parallel information processing methods based on reconfigurable technology." Infrared and Laser Engineering 45, no. 11 (2016): 1126003. http://dx.doi.org/10.3788/irla20164511.1126003.

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44

Heaton, Rachel, Simona Buetti, Alejandro Lleras, and John Hummel. "Evidence for parallel processing of relational information in visual search." Journal of Vision 21, no. 9 (2021): 2165. http://dx.doi.org/10.1167/jov.21.9.2165.

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45

Lewis, Eastman M., Genevieve L. Stein-O’Brien, Alejandra V. Patino, et al. "Parallel Social Information Processing Circuits Are Differentially Impacted in Autism." Neuron 108, no. 4 (2020): 659–75. http://dx.doi.org/10.1016/j.neuron.2020.10.002.

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46

Kotchoubey, Boris, and Simone Lang. "Parallel processing of physical and lexical auditory information in humans." Neuroscience Research 45, no. 4 (2003): 369–74. http://dx.doi.org/10.1016/s0168-0102(02)00250-x.

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47

Dosher, Barbara Anne, Songmei Han, and Zhong-Lin Lu. "Information-limited parallel processing in difficult heterogeneous covert visual search." Journal of Experimental Psychology: Human Perception and Performance 36, no. 5 (2010): 1128–44. http://dx.doi.org/10.1037/a0020366.

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48

Ross, Muriel D. "Morphological evidence for parallel processing of information in rat macula." Acta Oto-Laryngologica 106, no. 3-4 (1988): 213–18. http://dx.doi.org/10.3109/00016488809106428.

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49

Mateeva, Ts, and K. Stoyanova. "An astigmatic holographic optical element for parallel multichannel information processing." Optics and Lasers in Engineering 6, no. 1 (1985): 43–54. http://dx.doi.org/10.1016/0143-8166(85)90013-2.

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50

VanBreukelen, Gerald J. P. "Parallel Information Processing Models Compatible with Lognormally Distributed Response Times." Journal of Mathematical Psychology 39, no. 4 (1995): 396–99. http://dx.doi.org/10.1006/jmps.1995.1037.

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