FPGA-Specific Custom VLIW Architecture for Arbitrary Precision Floating-Point Arithmetic

Yuanwu LEI; Yong DOU; Jie ZHOU

doi:10.1587/transinf.E94.D.2173

FPGA-Specific Custom VLIW Architecture for Arbitrary Precision Floating-Point Arithmetic

Yuanwu LEI, Yong DOU, Jie ZHOU

Full Text Views

0

Share
Cite this

Summary :

Many scientific applications require efficient variable-precision floating-point arithmetic. This paper presents a special-purpose Very Large Instruction Word (VLIW) architecture for variable precision floating-point arithmetic (VV-Processor) on FPGA. The proposed processor uses a unified hardware structure, equipped with multiple custom variable-precision arithmetic units, to implement various variable-precision algebraic and transcendental functions. The performance is improved through the explicitly parallel technology of VLIW instruction and by dynamically varying the precision of intermediate computation. We take division and exponential function as examples to illustrate the design of variable-precision elementary algorithms in VV-Processor. Finally, we create a prototype of VV-Processor unit on a Xilinx XC6VLX760-2FF1760 FPGA chip. The experimental results show that one VV-Processor unit, running at 253 MHz, outperforms the approach of a software-based library running on an Intel Core i3 530 CPU at 2.93 GHz by a factor of 5X-37X for basic variable-precision arithmetic operations and elementary functions.

Publication: IEICE TRANSACTIONS on Information Vol.E94-D No.11 pp.2173-2183

Publication Date: 2011/11/01

Publicized

Online ISSN: 1745-1361

DOI: 10.1587/transinf.E94.D.2173

Type of Manuscript: PAPER

Category: Computer System

Cite this

Copy

Yuanwu LEI, Yong DOU, Jie ZHOU, "FPGA-Specific Custom VLIW Architecture for Arbitrary Precision Floating-Point Arithmetic" in IEICE TRANSACTIONS on Information, vol. E94-D, no. 11, pp. 2173-2183, November 2011, doi: 10.1587/transinf.E94.D.2173.
Abstract: Many scientific applications require efficient variable-precision floating-point arithmetic. This paper presents a special-purpose Very Large Instruction Word (VLIW) architecture for variable precision floating-point arithmetic (VV-Processor) on FPGA. The proposed processor uses a unified hardware structure, equipped with multiple custom variable-precision arithmetic units, to implement various variable-precision algebraic and transcendental functions. The performance is improved through the explicitly parallel technology of VLIW instruction and by dynamically varying the precision of intermediate computation. We take division and exponential function as examples to illustrate the design of variable-precision elementary algorithms in VV-Processor. Finally, we create a prototype of VV-Processor unit on a Xilinx XC6VLX760-2FF1760 FPGA chip. The experimental results show that one VV-Processor unit, running at 253 MHz, outperforms the approach of a software-based library running on an Intel Core i3 530 CPU at 2.93 GHz by a factor of 5X-37X for basic variable-precision arithmetic operations and elementary functions.
URL: https://globals.ieice.org/en_transactions/information/10.1587/transinf.E94.D.2173/_p

Copy

@ARTICLE{e94-d_11_2173,
author={Yuanwu LEI, Yong DOU, Jie ZHOU, },
journal={IEICE TRANSACTIONS on Information},
title={FPGA-Specific Custom VLIW Architecture for Arbitrary Precision Floating-Point Arithmetic},
year={2011},
volume={E94-D},
number={11},
pages={2173-2183},
abstract={Many scientific applications require efficient variable-precision floating-point arithmetic. This paper presents a special-purpose Very Large Instruction Word (VLIW) architecture for variable precision floating-point arithmetic (VV-Processor) on FPGA. The proposed processor uses a unified hardware structure, equipped with multiple custom variable-precision arithmetic units, to implement various variable-precision algebraic and transcendental functions. The performance is improved through the explicitly parallel technology of VLIW instruction and by dynamically varying the precision of intermediate computation. We take division and exponential function as examples to illustrate the design of variable-precision elementary algorithms in VV-Processor. Finally, we create a prototype of VV-Processor unit on a Xilinx XC6VLX760-2FF1760 FPGA chip. The experimental results show that one VV-Processor unit, running at 253 MHz, outperforms the approach of a software-based library running on an Intel Core i3 530 CPU at 2.93 GHz by a factor of 5X-37X for basic variable-precision arithmetic operations and elementary functions.},
keywords={},
doi={10.1587/transinf.E94.D.2173},
ISSN={1745-1361},
month={November},}

Copy

TY - JOUR
TI - FPGA-Specific Custom VLIW Architecture for Arbitrary Precision Floating-Point Arithmetic
T2 - IEICE TRANSACTIONS on Information
SP - 2173
EP - 2183
AU - Yuanwu LEI
AU - Yong DOU
AU - Jie ZHOU
PY - 2011
DO - 10.1587/transinf.E94.D.2173
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E94-D
IS - 11
JA - IEICE TRANSACTIONS on Information
Y1 - November 2011
AB - Many scientific applications require efficient variable-precision floating-point arithmetic. This paper presents a special-purpose Very Large Instruction Word (VLIW) architecture for variable precision floating-point arithmetic (VV-Processor) on FPGA. The proposed processor uses a unified hardware structure, equipped with multiple custom variable-precision arithmetic units, to implement various variable-precision algebraic and transcendental functions. The performance is improved through the explicitly parallel technology of VLIW instruction and by dynamically varying the precision of intermediate computation. We take division and exponential function as examples to illustrate the design of variable-precision elementary algorithms in VV-Processor. Finally, we create a prototype of VV-Processor unit on a Xilinx XC6VLX760-2FF1760 FPGA chip. The experimental results show that one VV-Processor unit, running at 253 MHz, outperforms the approach of a software-based library running on an Intel Core i3 530 CPU at 2.93 GHz by a factor of 5X-37X for basic variable-precision arithmetic operations and elementary functions.
ER -