Implementation of Single-Precision Floating-Point Trigonometric Functions with Small Area

被引：2
|
作者：
Dong, Chen [1 ]
He, Chen [1 ]
Xing, Sun [1 ]
Long, Pang [1 ]
机构：
[1] Beijing Inst Technol, Sch Informat & Elect, Beijing 100081, Peoples R China
来源：
2012 INTERNATIONAL CONFERENCE ON CONTROL ENGINEERING AND COMMUNICATION TECHNOLOGY (ICCECT 2012) | 2012年
关键词：
CORDIC; floating-point; FPGA; trigonometric functions;
D O I：
10.1109/ICCECT.2012.186
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Computation of floating-point trigonometric functions has a relevant importance in a wide variety of scientific applications, where the area cost, error and latency are important requirements to be attended. This paper presents an architecture based on CORDIC algorithm to implement single-precision floating-point trigonometric functions with small area. With mathematical transformation and high-precision fixed-point arithmetic instead of floating point operations, this paper addresses three questions for single-precision floating point trigonometric functions, including the range of angles is not enough, large area and low operating frequency. The method is implemented on the FPGA platform, the results show that this method can reduce the area effectively, and to ensure the accuracy of computation.
引用
收藏
页码：589 / 592
页数：4
相关论文
共 50 条
  • [1] An area-delay efficient single-precision floating-point multiplier for VLSI systems
    Anuradha
    Patel, Sujit Kumar
    Singhal, Subodh Kumar
    MICROPROCESSORS AND MICROSYSTEMS, 2023, 98
  • [2] Design of a fully pipelined single-precision floating-point unit
    Li, Zhaolin
    Zhang, Xinyue
    Li, Gongqiong
    Zhou, Runde
    ASICON 2007: 2007 7TH INTERNATIONAL CONFERENCE ON ASIC, VOLS 1 AND 2, PROCEEDINGS, 2007, : 60 - 63
  • [3] An Area-Efficient Iterative Single-Precision Floating-Point Multiplier Architecture for FPGA
    Kim, Sunwoong
    Rutenbar, Rob A.
    GLSVLSI '19 - PROCEEDINGS OF THE 2019 ON GREAT LAKES SYMPOSIUM ON VLSI, 2019, : 87 - 92
  • [4] Performance Analysis of Single-Precision Floating-Point MAC for Deep Learning
    Jha, Gunjan
    John, Eugene
    2018 IEEE 61ST INTERNATIONAL MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS (MWSCAS), 2018, : 885 - 888
  • [5] FPGA Implementation of a Single-Precision Floating-Point Multiply-Accumulator with Single-Cycle Accumulation
    Paidimarri, Arun
    Cevrero, Alessandro
    Brisk, Philip
    Ienne, Paolo
    PROCEEDINGS OF THE 2009 17TH IEEE SYMPOSIUM ON FIELD PROGRAMMABLE CUSTOM COMPUTING MACHINES, 2009, : 267 - +
  • [6] Improved Approximate Multipliers for Single-Precision Floating-Point Hardware Design
    da Costa, Patricia
    Pereira, Pedro T. L.
    Abreu, Brunno A.
    Paim, Guilherme
    da Costa, Eduardo
    Bampi, Sergio
    2022 IEEE 13TH LATIN AMERICAN SYMPOSIUM ON CIRCUITS AND SYSTEMS (LASCAS), 2022, : 9 - 12
  • [7] A PORTABLE RANDOM NUMBER GENERATOR FOR SINGLE-PRECISION FLOATING-POINT ARITHMETIC
    SHARP, WE
    BAYS, C
    COMPUTERS & GEOSCIENCES, 1993, 19 (04) : 593 - 600
  • [8] Floating-point trigonometric functions for FPGAS
    Detrey, Jeremie
    de Dinechin, Florent
    2007 INTERNATIONAL CONFERENCE ON FIELD PROGRAMMABLE LOGIC AND APPLICATIONS, PROCEEDINGS, VOLS 1 AND 2, 2007, : 29 - 34
  • [9] Some improvements for a random number generator with single-precision floating-point arithmetic
    Sezgin, F
    COMPUTERS & GEOSCIENCES, 1996, 22 (04) : 453 - 455
  • [10] A Fast Single-Precision Floating-Point Multiplier Based on Karatsuba and Vedic Algorithms
    Yi Q.-M.
    Fu Q.-G.
    Shi M.
    Luo A.-W.
    Chen J.-W.
    Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China, 2021, 50 (03): : 368 - 374
12345