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

页码：589 / 592

页数：4

共 50 条

[21] Efficient Implementation of Floating-Point Reciprocator on FPGA
Jaiswal, Manish Kumar
Chandrachoodan, Nitin
22ND INTERNATIONAL CONFERENCE ON VLSI DESIGN HELD JOINTLY WITH 8TH INTERNATIONAL CONFERENCE ON EMBEDDED SYSTEMS, PROCEEDINGS, 2009, : 267 - 271
[22] Efficient hardware implementation of radial basis function neural network with customized-precision floating-point operations
Hultmann Ayala, Helon Vicente
Munoz, Daniel M.
Llanos, Carlos H.
Coelho, Leandro dos Santos
CONTROL ENGINEERING PRACTICE, 2017, 60 : 124 - 132
[23] Quantitative study of floating-point precision on modern FPGAs
Ben Abdelhamid, Riadh
Kuwazawa, Gen
Yamaguchi, Yoshiki
THE PROCEEDINGS OF THE 13TH INTERNATIONAL SYMPOSIUM ON HIGHLY EFFICIENT ACCELERATORS AND RECONFIGURABLE TECHNOLOGIES, HEART 2023, 2023, : 49 - 58
[24] Stochastic Optimization of Floating-Point Programs with Tunable Precision
Schkufza, Eric
Sharma, Rahul
Aiken, Alex
ACM SIGPLAN NOTICES, 2014, 49 (06) : 53 - 64
[25] Exploiting Community Structure for Floating-Point Precision Tuning
Guo, Hui
Rubio-Gonzalez, Cindy
ISSTA'18: PROCEEDINGS OF THE 27TH ACM SIGSOFT INTERNATIONAL SYMPOSIUM ON SOFTWARE TESTING AND ANALYSIS, 2018, : 333 - 343
[26] Floating-Point Precision Tuning Using Blame Analysis
Rubio-Gonzalez, Cindy
Cuong Nguyen
Mehne, Benjamin
Sen, Koushik
Demmel, James
Kahan, William
Iancu, Costin
Lavrijsen, Wim
Bailey, David H.
Hough, David
2016 IEEE/ACM 38TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING (ICSE), 2016, : 1074 - 1085
[27] Fine-grained floating-point precision analysis
Lam, Michael O.
Hollingsworth, Jeffrey K.
INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS, 2018, 32 (02) : 231 - 245
[28] Double Precision Hybrid-Mode Floating-Point FPGA CORDIC Co-processor
Zhou, Jie
Dou, Yong
Lei, Yuanwu
Xu, Jinbo
Dong, Yazhuo
HPCC 2008: 10TH IEEE INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING AND COMMUNICATIONS, PROCEEDINGS, 2008, : 182 - 189
[29] Design and Implementation for Quadruple Precision Floating-point Multiplier Based on FPGA with Lower Resource Occupancy
Kang Lei
Yan Xiao-ying
2014 Fifth International Conference on Intelligent Systems Design and Engineering Applications (ISDEA), 2014, : 326 - 329
[30] Efficient Floating-Point Implementation of the Probit Function on FPGAs
Joldes, Mioara
Pasca, Bogdan
2020 IEEE 31ST INTERNATIONAL CONFERENCE ON APPLICATION-SPECIFIC SYSTEMS, ARCHITECTURES AND PROCESSORS (ASAP 2020), 2020, : 173 - 180

← 1 2 3 4 5 →