Self-Reconfigurable Constant Multiplier for FPGA

Author:

Hormigo Javier1,Caffarena Gabriel2,Oliver Juan P.3,Boemo Eduardo4

Affiliation:

1. Universidad de Málaga

2. Universidad CEU San Pablo

3. Universidad de la República

4. Universidad Autónoma de Madrid

Abstract

Constant multipliers are widely used in signal processing applications to implement the multiplication of signals by a constant coefficient. However, in some applications, this coefficient remains invariable only during an interval of time, and then, its value changes to adapt to new circumstances. In this article, we present a self-reconfigurable constant multiplier suitable for LUT-based FPGAs able to reload the constant in runtime. The pipelined architecture presented is easily scalable to any multiplicand and constant sizes, for unsigned and signed representations. It can be reprogrammed in 16 clock cycles, equivalent to less than 100 ns in current FPGAs. This value is significantly smaller than FPGA partial configuration times. The presented approach is more efficient in terms of area and speed when compared to generic multipliers, achieving up to 91% area reduction and up to 102% speed improvement for the case-study circuits tested. The power consumption of the proposed multipliers are in the range of those of slice-based multipliers provided by the vendor.

Funder

Ministerio de Educación, Cultura y Deporte

University CEU San Pablo and Banco Santander

Junta of Andalucía

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Survey on Machine Learning Accelerators and Evolutionary Hardware Platforms;IEEE Design & Test;2022-06

2. Reconfigurable Convolutional Kernels for Neural Networks on FPGAs;Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays;2019-02-20

3. Reduced-Area Constant-Coefficient and Multiple-Constant Multipliers for Xilinx FPGAs with 6-Input LUTs;Electronics;2017-11-22

4. Design Automation and Case Studies;High Performance Integer Arithmetic Circuit Design on FPGA;2015-07-07

5. FPGA Design of Delay-Based Digital Effects for Electric Guitar;Lecture Notes in Computer Science;2014

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