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Journal articles on the topic 'General Purpose Computer'

Author: Grafiati

Published: 4 June 2021

Last updated: 8 June 2024

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1

Kolinummi, P., P. Hämäläinen, T. Hämäläinen, and J. Saarinen. "PARNEU: general-purpose partial tree computer." Microprocessors and Microsystems 24, no. 1 (2000): 23–42. http://dx.doi.org/10.1016/s0141-9331(99)00075-7.

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2

Grimmer, J., and G. King. "General purpose computer-assisted clustering and conceptualization." Proceedings of the National Academy of Sciences 108, no. 7 (2011): 2643–50. http://dx.doi.org/10.1073/pnas.1018067108.

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3

Hough, Paul V. C. "GENERAL PURPOSE VISUAL INPUT FOR A COMPUTER*." Annals of the New York Academy of Sciences 99, no. 2 (2006): 323–34. http://dx.doi.org/10.1111/j.1749-6632.1962.tb45317.x.

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4

Wright, George, Peter Ayton, and Peter Whalley. "FORECAST: A general purpose computer to judgmental forecasting." Behavior Research Methods, Instruments, &amp Computers 17, no. 4 (1985): 515–17. http://dx.doi.org/10.3758/bf03214462.

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5

Lee, Soonhui, and Barry L. Nelson. "General-purpose ranking and selection for computer simulation." IIE Transactions 48, no. 6 (2016): 555–64. http://dx.doi.org/10.1080/0740817x.2015.1125043.

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6

Weng, Juyang. "Autonomous Programming for General Purposes: Theory." International Journal of Humanoid Robotics 17, no. 04 (2020): 2050016. http://dx.doi.org/10.1142/s0219843620500164.

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The universal Turing Machine (TM) is a model for Von Neumann computers — general-purpose computers. A human brain, linked with its biological body, can inside-skull-autonomously learn a universal TM so that he acts as a general-purpose computer and writes a computer program for any practical purposes. It is unknown whether a robot can accomplish the same. This theoretical work shows how the Developmental Network (DN), linked with its robot body, can accomplish this. Unlike a traditional TM, the TM learned by DN is a super TM — Grounded, Emergent, Natural, Incremental, Skulled, Attentive, Motiv

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7

Acs, Gabor, Sandor Doleschall, and Eva Farkas. "General Purpose Compositional Model." Society of Petroleum Engineers Journal 25, no. 04 (1985): 543–53. http://dx.doi.org/10.2118/10515-pa.

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Abstract A direct sequential method has been developed to simulate isothermal compositional systems. The solution technique is the same as that of the implicit pressure, explicit saturation (IMPES) method: one pressure is treated implicitly and (instead of the phase saturation) the component masses/moles are treated explicitly. A "volume balance" equation is used to obtain the pressure equation. A weighted sum of the conservation equations is used to eliminate the nonlinear saturation/concentration terms from the accumulation term of the pressure equation. The partial mass/mole volumes are use

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8

Lent, Keith, Russell Pinkston, and Peter Silsbee. "Accelerando: A Real-Time, General Purpose Computer Music System." Computer Music Journal 13, no. 4 (1989): 54. http://dx.doi.org/10.2307/3679553.

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9

TANAKA, Masataka, and Yoshifumi MASUDA. "A general purpose BEM computer code for acoustic problems." Transactions of the Japan Society of Mechanical Engineers Series C 53, no. 486 (1987): 387–91. http://dx.doi.org/10.1299/kikaic.53.387.

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10

Schalk, G., D. J. McFarland, T. Hinterberger, N. Birbaumer, and J. R. Wolpaw. "BCI2000: A General-Purpose Brain-Computer Interface (BCI) System." IEEE Transactions on Biomedical Engineering 51, no. 6 (2004): 1034–43. http://dx.doi.org/10.1109/tbme.2004.827072.

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11

Santangelo, Joseph D. "A general purpose computer analysis system for chromatographic data." Bioinformatics 4, no. 2 (1988): 275–79. http://dx.doi.org/10.1093/bioinformatics/4.2.275.

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12

Ritter, Frank, and William Siler. "FORTRAN FOR A SMALL-SCALE GENERAL PURPOSE HYBRID COMPUTER*." Annals of the New York Academy of Sciences 128, no. 3 (2006): 1085–99. http://dx.doi.org/10.1111/j.1749-6632.1965.tb11718.x.

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13

Rubel, Lee A. "Some mathematical limitations of the general-purpose analog computer." Advances in Applied Mathematics 9, no. 1 (1988): 22–34. http://dx.doi.org/10.1016/0196-8858(88)90004-8.

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14

Foulser and Schreiber. "The Saxpy Matrix-1: A General-Purpose Systolic Computer." Computer 20, no. 7 (1987): 35–43. http://dx.doi.org/10.1109/mc.1987.1663618.

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15

Silva Graça, Daniel. "Some recent developments on Shannon's General Purpose Analog Computer." MLQ 50, no. 45 (2004): 473–85. http://dx.doi.org/10.1002/malq.200310113.

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16

Gribb, Molly M., and Granville Sewell. "Solution of Ground Water Flow Problems with General Purpose and Special Purpose Computer Codes." Ground Water 36, no. 2 (1998): 366–72. http://dx.doi.org/10.1111/j.1745-6584.1998.tb01102.x.

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17

De Ceuster, Frederik, Jeremy Yates, Peter Boyle, Leen Decin, and James Hetherington. "MAGRITTE: a new multidimensional accelerated general-purpose radiative transfer code." Proceedings of the International Astronomical Union 14, S343 (2018): 381–82. http://dx.doi.org/10.1017/s1743921318005392.

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AbstractMagritte is a new deterministic radiative transfer code. It is a ray-tracing code that computes the radiation field by solving the radiative transfer equation along a fixed set of rays for each grid cell. Its ray-tracing algorithm is independent of the type of input grid and thus can handle smoothed-particle hydrodynamics (SPH) particles, structured as well as unstructured grids. The radiative transfer solver is highly parallelized and optimized to have well scaling performance on several computer architectures. Magritte also contains separate dedicated modules for chemistry and therma

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18

Main, Todd, Robert J. Feuerstein, Harry F. Jordan, Vincent P. Heuring, John Feehrer, and Carl E. Love. "Implementation of a general-purpose stored-program digital optical computer." Applied Optics 33, no. 8 (1994): 1619. http://dx.doi.org/10.1364/ao.33.001619.

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19

Bournez, Olivier, Daniel Graça, and Amaury Pouly. "On the functions generated by the general purpose analog computer." Information and Computation 257 (December 2017): 34–57. http://dx.doi.org/10.1016/j.ic.2017.09.015.

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20

Hämäläinen, Timo, Jukka Saarinen, and Kimmo Kaski. "TUTNC: a general purpose parallel computer for neural network computations." Microprocessors and Microsystems 19, no. 8 (1995): 447–65. http://dx.doi.org/10.1016/0141-9331(96)82010-2.

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21

Anderson, Paul, Paul Kelly, and Phil Winterbottom. "The feasibility of a general-purpose parallel computer using WSI." Future Generation Computer Systems 6, no. 3 (1990): 241–53. http://dx.doi.org/10.1016/0167-739x(90)90022-6.

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22

Kolesnichenko, Alexey, Christopher M. Poskitt, Sebastian Nanz, and Bertrand Meyer. "Contract-based general-purpose GPU programming." ACM SIGPLAN Notices 51, no. 3 (2016): 75–84. http://dx.doi.org/10.1145/2936314.2814216.

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23

AKL, SELIM G. "THREE COUNTEREXAMPLES TO DISPEL THE MYTH OF THE UNIVERSAL COMPUTER." Parallel Processing Letters 16, no. 03 (2006): 381–403. http://dx.doi.org/10.1142/s012962640600271x.

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It is shown that the concept of a Universal Computer cannot be realized. Specifically, instances of a computable function [Formula: see text] are exhibited that cannot be computed on any machine [Formula: see text] that is capable of only a finite and fixed number of operations per step. This remains true even if the machine [Formula: see text] is endowed with an infinite memory and the ability to communicate with the outside world while it is attempting to compute [Formula: see text]. It also remains true if, in addition, [Formula: see text] is given an indefinite amount of time to compute [F

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24

Manocha, D. "General-purpose computations using graphics processors." Computer 38, no. 8 (2005): 85–88. http://dx.doi.org/10.1109/mc.2005.261.

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25

Thompson, Neil C., and Svenja Spanuth. "The decline of computers as a general purpose technology." Communications of the ACM 64, no. 3 (2021): 64–72. http://dx.doi.org/10.1145/3430936.

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26

Glinert, Ephraim P., Mark E. Kopache, and David W. McIntyre. "Exploring the general-purpose visual alternative." Journal of Visual Languages & Computing 1, no. 1 (1990): 3–39. http://dx.doi.org/10.1016/s1045-926x(05)80032-1.

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27

Sushko, Peter V., and Igor V. Abarenkov. "General Purpose Electrostatic Embedding Potential." Journal of Chemical Theory and Computation 6, no. 4 (2010): 1323–33. http://dx.doi.org/10.1021/ct900480p.

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28

Norman, P. G. "The new AP101S general-purpose computer (GPC) for the space shuttle." Proceedings of the IEEE 75, no. 3 (1987): 308–19. http://dx.doi.org/10.1109/proc.1987.13738.

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29

Dursun, Burak, Eyup Ozavci, Hakan Yildirir, Erdem Budak, Osman Kalender, and Habib Ozer Oz. "A general purpose computer interface unit for electrical and electronics education." Procedia - Social and Behavioral Sciences 1, no. 1 (2009): 2865–70. http://dx.doi.org/10.1016/j.sbspro.2009.01.509.

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30

Minenkov, A. A., V. F. Korolev, and A. D. Gorelov. "General-purpose computer system for testing and monitoring airborne automatic systems." Measurement Techniques 36, no. 4 (1993): 371–72. http://dx.doi.org/10.1007/bf00979255.

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31

Wright, George, Peter Ayton, and Peter Whalley. "A general purpose computer aid to judgemental forecasting: Rationale and procedures." Decision Support Systems 1, no. 4 (1985): 333–40. http://dx.doi.org/10.1016/0167-9236(85)90173-3.

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32

Chen, Y. H. "Computer vision for general purpose visual inspection: a fuzzy logic approach." Optics and Lasers in Engineering 22, no. 3 (1995): 181–92. http://dx.doi.org/10.1016/0143-8166(94)00045-c.

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33

Carlier, S., E. Coussaert, and F. Cantraine. "PCSCOPE: a general-purpose acquisition system." Medical & Biological Engineering & Computing 28, no. 5 (1990): 497–501. http://dx.doi.org/10.1007/bf02441975.

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34

Cannane, Adam, and Hugh E. Williams. "General-purpose compression for efficient retrieval." Journal of the American Society for Information Science and Technology 52, no. 5 (2001): 430–37. http://dx.doi.org/10.1002/1532-2890(2001)9999:9999<::aid-asi1084>3.0.co;2-z.

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35

Doi, A., M. Aono, N. Urano, and K. Sugimoto. "Data visualization using a general-purpose renderer." IBM Journal of Research and Development 35, no. 1.2 (1991): 45–58. http://dx.doi.org/10.1147/rd.351.0045.

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36

Campbell, Brad, and Joseph,M Goodman. "HAM: a general purpose hypertext abstract machine." Communications of the ACM 31, no. 7 (1988): 856–61. http://dx.doi.org/10.1145/48511.48515.

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37

Esmaeilzadeh, Hadi, Adrian Sampson, Luis Ceze, and Doug Burger. "Neural acceleration for general-purpose approximate programs." Communications of the ACM 58, no. 1 (2015): 105–15. http://dx.doi.org/10.1145/2589750.

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38

Almeida, André Luís Barroso, Leonardo de Souza Cimino, José Estevão Eugênio de Resende, et al. "A general-purpose distributed computing Java middleware." Concurrency and Computation: Practice and Experience 31, no. 7 (2018): e4967. http://dx.doi.org/10.1002/cpe.4967.

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39

Fluet, Matthew, Mike Rainey, and John Reppy. "A scheduling framework for general-purpose parallel languages." ACM SIGPLAN Notices 43, no. 9 (2008): 241–52. http://dx.doi.org/10.1145/1411203.1411239.

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40

Stucki, Nicolas, Tiark Rompf, Vlad Ureche, and Phil Bagwell. "RRB vector: a practical general purpose immutable sequence." ACM SIGPLAN Notices 50, no. 9 (2015): 342–54. http://dx.doi.org/10.1145/2858949.2784739.

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41

Davis, Al. "Mayfly: A general-purpose, scalable, parallel processing architecture." LISP and Symbolic Computation 5, no. 1-2 (1992): 7–47. http://dx.doi.org/10.1007/bf01811115.

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42

TRIDGELL, ANDREW, and RICHARD P. BRENT. "A GENERAL-PURPOSE PARALLEL SORTING ALGORITHM." International Journal of High Speed Computing 07, no. 02 (1995): 285–301. http://dx.doi.org/10.1142/s0129053395000166.

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43

Chen, Gengxin, and Joseph E. Steinmetz. "A general-purpose computer system for behavioral conditioning and neural recording experiments." Behavior Research Methods, Instruments, & Computers 30, no. 3 (1998): 384–91. http://dx.doi.org/10.3758/bf03200669.

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44

IBUKI, Naoaki, and Hiroyuki KOBAYASHI. "Implementation of small satellite control system with general-purpose single board computer." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2018 (2018): 2A2—B11. http://dx.doi.org/10.1299/jsmermd.2018.2a2-b11.

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45

Kadi, Muhammed Al, Benedikt Janssen, Jones Yudi, and Michael Huebner. "General-Purpose Computing with Soft GPUs on FPGAs." ACM Transactions on Reconfigurable Technology and Systems 11, no. 1 (2018): 1–22. http://dx.doi.org/10.1145/3173548.

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46

Hameed, Rehan, Wajahat Qadeer, Megan Wachs, et al. "Understanding sources of ineffciency in general-purpose chips." Communications of the ACM 54, no. 10 (2011): 85–93. http://dx.doi.org/10.1145/2001269.2001291.

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47

Chisnall, David. "No such thing as a general-purpose processor." Communications of the ACM 57, no. 12 (2014): 44–48. http://dx.doi.org/10.1145/2677030.

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48

Yadav, Anita, and A. K. Goyal. "General-purpose interface bus (GP-IB) decoder." Computers in Industry 22, no. 1 (1993): 87–91. http://dx.doi.org/10.1016/0166-3615(93)90084-e.

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49

Gallagher, M., and Bo Yuan. "A general-purpose tunable landscape generator." IEEE Transactions on Evolutionary Computation 10, no. 5 (2006): 590–603. http://dx.doi.org/10.1109/tevc.2005.863628.

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50

Guo, Liucheng, Andreea Ingrid Funie, Zhongliu Xie, David Thomas, and Wayne Luk. "A general-purpose framework for FPGA-accelerated genetic algorithms." International Journal of Bio-Inspired Computation 7, no. 6 (2015): 361. http://dx.doi.org/10.1504/ijbic.2015.073183.

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