Single-Precision Floating Point Matrix Multiplier Using Low-Power Arithmetic Circuits

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Advances in Power Systems and Energy Management

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 436))

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Abstract

This paper presents a single-precision floating point (IEEE 754 standard) matrix multiplier module. This is constructed using subblocks, which include floating point adder and floating point multiplier. These subblocks are designed to achieve the goal of low power consumption. Different architectures of subblocks are compared on the basis of energy-delay product. Design and simulations have been performed for 180 and 45 nm technology node. Simulation results show that design of floating point matrix multiplier is better at 45 nm than 180 nm technology node in terms of lesser delay by 43% and energy-delay product by 97.86% at 1 V. Also, 45 nm technology cells occupy only 6.25% of the area as compared to 180 nm cells.

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References

  1. Lin, R.: A reconfigurable low-power high-performance matrix multiplier design. In: Proceedings of IEEE Symposium Quality Electronic Design, pp. 1–8 (2000)

    Google Scholar 

  2. Saha, P., Banerjee, A., Bhattacharyya, P., Dandapat, A.: Improved matrix multiplier design for high-speed digital signal processing applications. IET Circuits Devices Syst. 8, 27–37 (2014)

    Article  Google Scholar 

  3. Al-Ashrafy, M., Salem, A., Anis, W.: An efficient implementation of floating point multiplier. In: Proceedings of Saudi International Conference Electronics, Communications and Photonics, pp. 1–5 (2011)

    Google Scholar 

  4. Loucas, L., Cook, T.A., Johnson, W.H.: Implementation of IEEE single precision floating point addition and multiplication on FPGAs. In: Proceedings of IEEE Symposium FPGAs for Custom Computing Machines, pp. 107–116 (1996)

    Google Scholar 

  5. Belkacemi, S., Benkrid, K., Crookes, D., Benkrid, A.: Design and implementation of a high performance matrix multiplier core for **linx Virtex FPGAs. IEEE International Workshop on Computer Architectures for Machine Perception, pp. 156–159 (2003)

    Google Scholar 

  6. Gupta, J., Grover, A., Wadhwa, G.K., Grover, N.: Multipliers using low power adder cells using 180 nm technology. In: Proceedings of IEEE International Symposium Computational and Business Intelligence, pp. 3–6 (2013)

    Google Scholar 

  7. Yeo, K., Roy, K.: Low-Voltage, Low-Power VLSI Subsystems (Chapter 3). McGraw-Hill, pp. 63–89 (2005)

    Google Scholar 

  8. Tong, J.Y.F., Nagle, D., Rutenbar, R.A.: Reducing power by optimizing the necessary precision/range of floating-point arithmetic. IEEE Trans. Very Large Scale Integr. (VLSI) Syst. 8, 273–286 (2000)

    Article  Google Scholar 

  9. Sivanantham, S.: Design of low power floating-point multiplier with reduced switching activity in deep submicron technology. Int. J. Appl. Eng. Res. 8, 851–859 (2013)

    Google Scholar 

  10. Gilani, S.Z., Kim, N.S., Schulte, M.: Energy-efficient floating-point arithmetic for software-defined radio architectures. In: Proceedings of IEEE International Conference on Application-Specific Systems, Architectures and Processors, pp. 122–129 (2011)

    Google Scholar 

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Correspondence to Rutu Parekh .

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Gargave, S., Agrawal, Y., Parekh, R. (2018). Single-Precision Floating Point Matrix Multiplier Using Low-Power Arithmetic Circuits. In: Garg, A., Bhoi, A., Sanjeevikumar, P., Kamani, K. (eds) Advances in Power Systems and Energy Management. Lecture Notes in Electrical Engineering, vol 436. Springer, Singapore. https://doi.org/10.1007/978-981-10-4394-9_67

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  • DOI: https://doi.org/10.1007/978-981-10-4394-9_67

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  • Print ISBN: 978-981-10-4393-2

  • Online ISBN: 978-981-10-4394-9

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