Design of a divider with the improved pre-processing module based on SRT-4 algorithm

Jiale Qu; Huimin Liu; Rong Zhang; Li-ang Wen

doi:10.1117/12.3010604

2 November 2023 Design of a divider with the improved pre-processing module based on SRT-4 algorithm

Jiale Qu, Huimin Liu, Rong Zhang, Li-ang Wen

Proceedings Volume 12919, International Conference on Electronic Materials and Information Engineering (EMIE 2023); 129191K (2023) https://doi.org/10.1117/12.3010604
Event: 3rd International Conference on Electronic Materials and Information Engineering (EMIE 2023), 2023, Guangzhou,, China

Abstract

Among the four basic operations, the division has a high level of technical complexity in implementation, so the design of a hardware divider generally becomes a key and difficult point in the design of data processing units. Based on practical needs, combined with new theories and practical developments in the field of divider design, this article implements an integer divider with improved pre-processing modules that can reduce computational cycles. It adopts the SRT-4 algorithm, selects the minimum redundant form for the remainder, uses on-the-fly conversion method for quotient calculation, and is supplemented by minimal hardware logic to form a data path. The focus is on low-cost, low-power, minimalist, and modular design. This design implements division function and then uses software to complete simulation verification. Under the standard process unit of 90 nm, the comprehensive area of this design is 15576 𝜇𝑚² , power consumption 4.1326 mW, delay 790 ps compared to traditional dividers without improvement, the overall performance improvement is as high as 47%~82%.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jiale Qu, Huimin Liu, Rong Zhang, and Li-ang Wen "Design of a divider with the improved pre-processing module based on SRT-4 algorithm", Proc. SPIE 12919, International Conference on Electronic Materials and Information Engineering (EMIE 2023), 129191K (2 November 2023); https://doi.org/10.1117/12.3010604

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