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122 REFERENCES [6] Z. Vörösházi, A. Kiss, Z. Nagy, and P. Szolgay, “A Standalone FPGA Based Emulated-Digital CNN-UM System,” in Proc. of CNNA’2008, (Santiago de Compostella), 2008. [7] Z. Nagy, A. Kiss, S. Kocsárdi, and Á. Csík, “Supersonic Flow Simulation on IBM Cell Processor Based Emulated Digital Cellular Neural Networks,” in Proc. of ISCAS’2009, (Taipei, Taiwan), pp. 1225–1228, 2009. [8] Z. Nagy, A. Kiss, S. Kocsárdi, and Á. Csík, “Computational Fluid Flow Simulation on Body Fitted Mesh Geometry with IBM Cell Broadband Engine Architecture,” in Proc. of ECCTD’2009, (Antalya, Turkey), pp. 827–830, 2009. [9] Z. Nagy, A. Kiss, S. Kocsárdi, M. Retek, Á. Csík, and P. Szolgay, “A Supersonic Flow Simulation on IBM Cell Processor Based Emulated Digital Cellular Neural Networks,” in Proc. of CMFF’2009, (Budapest, Hungary), pp. 502–509, 2009. [10] A. Kiss and Z. Nagy, “Computational Fluid Flow Simulation on Body Fitted Mesh Geometry with FPGA Based Emulated Digital Cellular Neural Networks,” in Proceedings of 12th International Workshop on Cellular Nanoscale Networks and their Applications, (Berkeley, CA, USA), CNNA2010, 2010. [11] L. Füredi, Z. Nagy, A. Kiss, and P. Szolgay, “An Improved Emulated Digital CNN Architecture for High Performance FPGAs,” in Proceedings of the 2010 International Symposium on Nonlinear Theory and its Applications, (Krakow, Poland), pp. 103–106, NOLTA2010, 2010. [12] C. Nemes, Z. Nagy, M. Ruszinkó, A. Kiss, and P. Szolgay, “Mapping of High Performance Data-Flow Graphs into Programmable Logic Devices,” in Proceedings of the 2010 International Symposium on Nonlinear Theory and its Applications, (Krakow, Poland), pp. 99–102, NOLTA2010, 2010.
5.2 Application of the results 123 Publications connected to the dissertation [13] “IBM Inc.” [Online] http.ibm.com. 1 [14] “INTEL Inc.” [Online] http.intel.com. 1 [15] P. Szolgay, G. Vörös, and G. Erőss, “On the Applications of the Cellular Neural Network Paradigm in Mechanical Vibrating System,” IEEE Transactions Circuits and Systems-I, Fundamental Theory and Applications, vol. 40, no. 3, pp. 222–227, 1993. 1, 2.2 [16] Z. Nagy and P. Szolgay, “Numerical Solution of a Class of PDEs by Using Emulated Digital CNN-UM on FPGAs,” Proceeding of the 16th European Conference on Circuits Theory and Design, Krakow, Poland, vol. II, pp. 181– 184, 2003. 1, 2.2 [17] T. Roska and L. O. Chua, “The CNN Universal Machine: an Analogic Array Computer,” IEEE Transactions on Circuits and Systems-II, vol. 40, pp. 163– 173, 1993. 1.1, 1.1.1, 2.1.1 [18] Zs.Vörösházi, Z.Nagy, and P.Szolgay, “An advanced emulated digital retina model on fpga to implement a real-time test environment,” ISCAS, pp. 1949– 1952, 2006. 1.1, 4.1 [19] P. Sonkoly, P. Kozma, Z. Nagy, and P. Szolgay, “Elastic wave propagation modeling on emulated digital cnn-um architecture,” 9th IEEE International Workshop on Cellular Neural Networks and their Applications, pp. 126–129, 2005. 1.1, 4.1 [20] S. E. et.al., “A VLSI-Oriented Continuous-Time CNN Model,” International Journal of Circuit Theory and Applications, vol. 24, pp. 341–356, 1996. 1.1.1, 1.3 [21] “Cellular Wave Computing Library.” [Online] http://cnntechnology.itk.ppke.hu/, 2007. 1.1.2, 1.1.2, 2.1.1.2
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An Optimal Mapping of Numerical Sim
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Acknowledgements It is not so hard
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Contents 1 Introduction 1 1.1 Cellu
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CONTENTS iii 4.3.3 Operating Steps
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vi LIST OF FIGURES 2.4 Performance
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List of Tables 2.1 Comparison of di
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xii LIST OF ABBREVIATIONS FPE Falco
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Chapter 1 Introduction Due to the r
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3 can be represented in arbitrary t
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1.1 Cellular Neural/Nonlinear Netwo
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1.2 Cellular Neural/Nonlinear Netwo
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1.3 CNN-UM Implementations 9 the Lo
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1.3 CNN-UM Implementations 11 modif
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1.4 Field Programmable Gate Arrays
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1.5 IBM Cell Broadband Engine Archi
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Chapter 2 Mapping the Numerical Sim
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2.1 Introduction 37 18 Load instruc
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2.1 Introduction 39 Instruction his
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2.1 Introduction 41 2E+07 1E+07 9E+
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2.1 Introduction 43 Main memory 8 t
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2.1 Introduction 45 6 4.5 3 Speedup
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2.1 Introduction 47 2.50E+07 1.88E+
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2.2 Ocean model and its implementat
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2.2 Ocean model and its implementat
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2.3 Computational Fluid Flow Simula
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Chapter 3 Investigating the Precisi
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