PPKE ITK PhD and MPhil Thesis Classes

More documents

Recommendations

Info

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
Page 1:
An Optimal Mapping of Numerical Sim
Page 5 and 6:
Acknowledgements It is not so hard
Page 7 and 8:
Contents 1 Introduction 1 1.1 Cellu
Page 9:
CONTENTS iii 4.3.3 Operating Steps
Page 12 and 13:
vi LIST OF FIGURES 2.4 Performance
Page 15:
List of Tables 2.1 Comparison of di
Page 18 and 19:
xii LIST OF ABBREVIATIONS FPE Falco
Page 21 and 22:
Chapter 1 Introduction Due to the r
Page 23 and 24:
3 can be represented in arbitrary t
Page 25 and 26:
1.1 Cellular Neural/Nonlinear Netwo
Page 27 and 28:
1.2 Cellular Neural/Nonlinear Netwo
Page 29 and 30:
1.3 CNN-UM Implementations 9 the Lo
Page 31 and 32:
1.3 CNN-UM Implementations 11 modif
Page 33 and 34:
1.4 Field Programmable Gate Arrays
Page 35 and 36:
Page 37 and 38:
Page 39 and 40:
Page 41 and 42:
Page 43 and 44:
Page 45 and 46:
Page 47 and 48:
1.5 IBM Cell Broadband Engine Archi
Page 49 and 50:
Page 51 and 52:
Page 53 and 54:
Page 55 and 56:
Chapter 2 Mapping the Numerical Sim
Page 57 and 58:
2.1 Introduction 37 18 Load instruc
Page 59 and 60:
2.1 Introduction 39 Instruction his
Page 61 and 62:
2.1 Introduction 41 2E+07 1E+07 9E+
Page 63 and 64:
2.1 Introduction 43 Main memory 8 t
Page 65 and 66:
2.1 Introduction 45 6 4.5 3 Speedup
Page 67 and 68:
2.1 Introduction 47 2.50E+07 1.88E+
Page 69 and 70:
2.2 Ocean model and its implementat
Page 71 and 72:
2.2 Ocean model and its implementat
Page 73 and 74:
2.3 Computational Fluid Flow Simula
Page 75 and 76:
Page 77 and 78:
Page 79 and 80:
Page 81 and 82:
Page 83 and 84:
Page 85 and 86:
Page 87 and 88:
Page 89 and 90:
Chapter 3 Investigating the Precisi
Page 91 and 92: 3.2 Numerical Solutions of the PDEs
Page 93 and 94: 3.3 Testing Methodology 73 In fixed
Page 95 and 96: 3.4 Properties of the Arithmetic Un
Page 97 and 98: 3.4 Properties of the Arithmetic Un
Page 99 and 100: 3.5 Results 79 in the L2 cache of t
Page 101 and 102: 3.5 Results 81 1E-02 1E-03 Error 1E
Page 103 and 104: 3.5 Results 83 arithmetic unit requ
Page 105: 3.6 Conclusion 85 point and the 40
Page 108 and 109: 4. IMPLEMENTING A GLOBAL ANALOGIC P
Page 130 and 131: 110 5. SUMMARY OF NEW SCIENTIFIC RE
Page 141: References The author’s journal p
Page 145 and 146: 5.2 Application of the results 125
Page 147 and 148: 5.2 Application of the results 127
show all

PPKE ITK PhD and MPhil Thesis Classes

Create successful ePaper yourself

Delete template?

Save as template?