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Journal articles on the topic 'Openfl'

Author: Grafiati

Published: 4 June 2021

Last updated: 18 February 2022

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1

Lee, Hwan-Yong, and Nak-Hoon Baek. "OpenGL ES 1.1 Implementation Using OpenGL." KIPS Transactions:PartA 16A, no. 3 (2009): 159–68. http://dx.doi.org/10.3745/kipsta.2009.16-a.3.159.

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2

Vanschoren, Joaquin, Jan N. van Rijn, Bernd Bischl, and Luis Torgo. "OpenML." ACM SIGKDD Explorations Newsletter 15, no. 2 (2014): 49–60. http://dx.doi.org/10.1145/2641190.2641198.

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3

BAEK, Nakhoon, and Hwanyong LEE. "OpenGL SC Implementation on the OpenGL Hardware." IEICE Transactions on Information and Systems E95.D, no. 10 (2012): 2589–92. http://dx.doi.org/10.1587/transinf.e95.d.2589.

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4

Baek, Nakhoon, and Hwanyong Lee. "OpenGL ES 1.1 implementation based on OpenGL." Multimedia Tools and Applications 57, no. 3 (2010): 669–85. http://dx.doi.org/10.1007/s11042-010-0662-4.

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5

Baek, Nak-Hoon. "Implementation of OpenGL SC Emulation Library over OpenGL." Journal of Korea Multimedia Society 14, no. 3 (2011): 440–48. http://dx.doi.org/10.9717/kmms.2011.14.3.440.

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6

Baek, Nakhoon, and Kwan-Hee Yoo. "Emulating OpenGL ES 2.0 over the desktop OpenGL." Cluster Computing 18, no. 1 (2014): 165–75. http://dx.doi.org/10.1007/s10586-014-0351-6.

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7

Роганов, Владимир Александрович, Валерий Иванович Осипов, and Герман Анатольевич Матвеев. "Integration of Mantevo MiniAMR and OpenTS . Comparison of OpenTS DMPI and Open MPI." Program Systems: Theory and Applications 9, no. 4 (2018): 361–81. http://dx.doi.org/10.25209/2079-3316-2018-9-4-361-381.

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Mantevo MiniAMR – инструментальное средство для распараллеливания широкого класса 3D приложений с использованием адаптивной расчетной сетки. Оно может быть применено для параллельной реализации разностных схем; систем, которые моделируются с помощью уравнений с частными производными. Проведена интеграция пакета MiniAMR и системы для параллельного программирования OpenTS. Произведено сравнение OpenTS DMPI и Open MPI.

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Figueiredo, Marco Antonio C., Edans F. Oliveira Sandes, Genaina N. Rodrigues, George L. M. Teodoro, and Alba Cristina M. A. Melo. "MASA‐OpenCL: Parallel pruned comparison of long DNA sequences with OpenCL." Concurrency and Computation: Practice and Experience 31, no. 11 (2018): e5039. http://dx.doi.org/10.1002/cpe.5039.

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9

Zapart, Christopher A. "OpenCL Implementation of NeuroIsing." Progress of Theoretical Physics Supplement 194 (2012): 28–42. http://dx.doi.org/10.1143/ptps.194.28.

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10

Casalicchio, Giuseppe, Jakob Bossek, Michel Lang, et al. "OpenML: An R package to connect to the machine learning platform OpenML." Computational Statistics 34, no. 3 (2017): 977–91. http://dx.doi.org/10.1007/s00180-017-0742-2.

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11

Illés, Attila. "Az OPENGL a mérnöki ábrázolásban." Fiatal Műszakiak Tudományos Ülésszaka 1. (2010) (2010): 147–50. http://dx.doi.org/10.36243/fmtu-2010.34.

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12

Li, Wei, Xiaohu Huang, and Nanning Zheng. "Parallel implementing OpenGL on PVM." Parallel Computing 23, no. 12 (1997): 1839–50. http://dx.doi.org/10.1016/s0167-8191(97)00090-2.

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Al-Salman, AbdulMalik S., and Fahad Al-Qahtani. "GLAL: An OpenGL Arabization Library." Software: Practice and Experience 35, no. 14 (2005): 1393–407. http://dx.doi.org/10.1002/spe.675.

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14

Chen, Bo, and Harry H. Cheng. "Interpretive OpenGL for computer graphics." Computers & Graphics 29, no. 3 (2005): 331–39. http://dx.doi.org/10.1016/j.cag.2005.03.002.

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15

Bach, Matthias, Volker Lindenstruth, Owe Philipsen, and Christopher Pinke. "Lattice QCD based on OpenCL." Computer Physics Communications 184, no. 9 (2013): 2042–52. http://dx.doi.org/10.1016/j.cpc.2013.03.020.

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16

Condello, Giovanni, Paolo Pasteris, Danilo Pau, and Mariagiovanna Sami. "An OpenCL-based feature matcher." Signal Processing: Image Communication 28, no. 4 (2013): 345–50. http://dx.doi.org/10.1016/j.image.2012.06.002.

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17

McKeown, Nick, Tom Anderson, Hari Balakrishnan, et al. "OpenFlow." ACM SIGCOMM Computer Communication Review 38, no. 2 (2008): 69–74. http://dx.doi.org/10.1145/1355734.1355746.

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18

Limoncelli, Thomas A. "OpenFlow." Communications of the ACM 55, no. 8 (2012): 42–47. http://dx.doi.org/10.1145/2240236.2240254.

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19

Bhattacharyya, Shuvra S., Gordon Brebner, Jörn W. Janneck, et al. "OpenDF." ACM SIGARCH Computer Architecture News 36, no. 5 (2008): 29–35. http://dx.doi.org/10.1145/1556444.1556449.

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20

Vidimče, Kiril, Szu-Po Wang, Jonathan Ragan-Kelley, and Wojciech Matusik. "OpenFab." Communications of the ACM 62, no. 9 (2019): 97–105. http://dx.doi.org/10.1145/3344808.

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21

Vidimče, Kiril, Szu-Po Wang, Jonathan Ragan-Kelley, and Wojciech Matusik. "OpenFab." ACM Transactions on Graphics 32, no. 4 (2013): 1–12. http://dx.doi.org/10.1145/2461912.2461993.

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22

Breitbart, Jens, and Claudia Fohry. "Analyzing Use of OpenCL on the Cell Broadband Engine and a Proposal for OpenCL Extensions." International Journal of Networking and Computing 1, no. 1 (2011): 114–30. http://dx.doi.org/10.15803/ijnc.1.1_114.

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23

Henry, Sylvain, Alexandre Denis, and Denis Barthou. "Programmation unifiée multi-accélérateur avec OpenCL." Techniques et sciences informatiques 31, no. 8-10 (2012): 1233–49. http://dx.doi.org/10.3166/tsi.31.1233-1249.

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24

Sawa, Fumi. "Visual Area Networking by OpenGL Vizserver." Journal of the Visualization Society of Japan 22, no. 1Supplement (2002): 177–78. http://dx.doi.org/10.3154/jvs.22.1supplement_177.

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25

Fachada, Nuno, Vitor V. Lopes, Rui C. Martins, and Agostinho C. Rosa. "cf4ocl: A C framework for OpenCL." Science of Computer Programming 143 (September 2017): 9–19. http://dx.doi.org/10.1016/j.scico.2017.03.005.

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26

Erwinsyah, Alfian, Yuliwati, Liesna Andriany, and Herman Fithra. "Three-Dimensional Text Applications with OpenGL." Journal of Physics: Conference Series 1364 (December 2019): 012048. http://dx.doi.org/10.1088/1742-6596/1364/1/012048.

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27

Carr, M. "Visualization with OpenGL: 3D made easy." IEEE Antennas and Propagation Magazine 39, no. 4 (1997): 116–20. http://dx.doi.org/10.1109/74.633000.

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28

Kornilov, Matwey, and Konstantin Malanchev. "Fips: An OpenGL based FITS viewer." Journal of Physics: Conference Series 1525 (April 2020): 012047. http://dx.doi.org/10.1088/1742-6596/1525/1/012047.

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29

Sanderson, M. J. "Paloverde: an OpenGL 3D phylogeny browser." Bioinformatics 22, no. 8 (2006): 1004–6. http://dx.doi.org/10.1093/bioinformatics/btl044.

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30

Tokai, Shogo. "OpenGL Interaction Using GLUT (Part 1)." Journal of the Institute of Image Information and Television Engineers 67, no. 3 (2013): 259–62. http://dx.doi.org/10.3169/itej.67.259.

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31

Tokai, Shogo. "OpenGL Interaction Using GLUT (Part 2)." Journal of the Institute of Image Information and Television Engineers 67, no. 4 (2013): 327–30. http://dx.doi.org/10.3169/itej.67.327.

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32

Tokai, Shogo. "OpenGL Interaction Using GLUT (Part 3)." Journal of the Institute of Image Information and Television Engineers 67, no. 5 (2013): 417–20. http://dx.doi.org/10.3169/itej.67.417.

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33

Warsha, Ms. "A Survey Paper on OpenGL ES." International Journal on Recent and Innovation Trends in Computing and Communication 3, no. 4 (2015): 1755–58. http://dx.doi.org/10.17762/ijritcc2321-8169.150405.

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34

Mitchell, William F. "The Fortran 90 bindings for OpenGL." ACM SIGPLAN Fortran Forum 18, no. 1 (1999): 5–13. http://dx.doi.org/10.1145/310408.310412.

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35

Tu, Chia-Heng, and Te-Sheng Lin. "Augmenting Operating Systems with OpenCL Accelerators." ACM Transactions on Design Automation of Electronic Systems 24, no. 3 (2019): 1–29. http://dx.doi.org/10.1145/3315569.

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36

Fraire, Juan A., Alejandro Ferreyra, and Carlos Marques. "OpenCL Overview, Implementation, and Performance Comparison." IEEE Latin America Transactions 11, no. 1 (2013): 274–80. http://dx.doi.org/10.1109/tla.2013.6502816.

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37

Kornilov, M., and K. Malanchev. "Fips: An OpenGL based FITS viewer." Astronomy and Computing 26 (January 2019): 61–67. http://dx.doi.org/10.1016/j.ascom.2019.01.001.

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38

Jääskeläinen, Pekka, Carlos Sánchez de La Lama, Erik Schnetter, Kalle Raiskila, Jarmo Takala, and Heikki Berg. "pocl: A Performance-Portable OpenCL Implementation." International Journal of Parallel Programming 43, no. 5 (2014): 752–85. http://dx.doi.org/10.1007/s10766-014-0320-y.

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39

JETENSKÝ, Pavel. "USING OPEN SOURCE OPENCV LIBRARY FOR PRACTICAL COURSES OF COMPUTER VISION." Journal of Technology and Information 5, no. 1 (2013): 115–19. http://dx.doi.org/10.5507/jtie.2013.017.

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40

Percival, Jennifer. "Eye-opener." Nursing Standard 18, no. 1 (2003): 20–21. http://dx.doi.org/10.7748/ns.18.1.20.s35.

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41

Connor, Valerie, and Hilary Robinson. "Letter-Opener." Circa, no. 99 (2002): 24. http://dx.doi.org/10.2307/25563787.

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42

Ayoubi, Tarek, Andrew Stoebner, and Kenneth Byle. "Game Opener." Civil Engineering Magazine Archive 79, no. 7 (2009): 66–75. http://dx.doi.org/10.1061/ciegag.0000234.

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43

Utke, Jean, Uwe Naumann, Mike Fagan, et al. "OpenAD/F." ACM Transactions on Mathematical Software 34, no. 4 (2008): 1–36. http://dx.doi.org/10.1145/1377596.1377598.

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44

Scacchi, Walt. "OpenEC/B." ACM SIGSOFT Software Engineering Notes 30, no. 4 (2005): 1–5. http://dx.doi.org/10.1145/1082983.1083270.

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45

Shaffer, David R., Chantana Ruammake, and Linda J. Pegalis. "The "Opener"." Personality and Social Psychology Bulletin 16, no. 3 (1990): 511–20. http://dx.doi.org/10.1177/0146167290163009.

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46

. "Eye opener." Huisarts en Wetenschap 48, no. 6 (2005): 635. http://dx.doi.org/10.1007/bf03084385.

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47

KANG, Pilsung. "Accelerating Stochastic Simulations on GPUs Using OpenCL." IEICE Transactions on Information and Systems E102.D, no. 11 (2019): 2253–56. http://dx.doi.org/10.1587/transinf.2019edl8030.

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48

Minkin, A. S., A. A. Knizhnik, and B. V. Potapkin. "OpenCL realization of some many-body potentials." Computer Research and Modeling 7, no. 3 (2015): 549–58. http://dx.doi.org/10.20537/2076-7633-2015-7-3-549-558.

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49

Şimşek, Buğra, and Nursel Akçam. "Heterogenous Computing on Iris Matching with OpenCL." Applied Mechanics and Materials 850 (August 2016): 129–35. http://dx.doi.org/10.4028/www.scientific.net/amm.850.129.

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This study presents parallelization of Hamming Distance algorithm, which is used for iris comparison on iris recognition systems, for heterogeneous systems that can be included Central Processing Units (CPUs), Graphics Processing Units (GPUs), Digital Signal Processing (DSP) boards, Field Programmable Gate Array (FPGA) and some other mobile platforms with OpenCL. OpenCL allows to run same code on CPUs, GPUs, FPGAs and DSP boards. Heterogeneous computing refers to systems include different kind of devices (CPUs, GPUs, FPGAs and other accelerators). Heterogeneous computing gains performance or reduces power for suitable algorithms on these OpenCL supported devices. In this study, Hamming Distance algorithm has been coded with C++ as a sequential code and has been parallelized a designated method by us with OpenCL. Our OpenCL code has been executed on Nvidia GT430 GPU and Intel Xeon 5650 processor. The OpenCL code implementation demonstrates that speed up to 87 times with parallelization. Also our study differs from other studies, which accelerate iris matching, with regard to ensure heterogeneous computing by using OpenCL.

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50

Baek, Nakhoon. "OpenGL ES 2.0 Emulation on Desktop PCs." KIPS Transactions on Computer and Communication Systems 3, no. 4 (2014): 125–28. http://dx.doi.org/10.3745/ktccs.2014.3.4.125.

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