Advanced Pipelined Area and Speed Efficient Floating-Point ALU Embedded System in FPGA
نویسندگان
چکیده
This paper introduces a technique to style and develop a completely pipelined and optimized design for Floating Point embedded processor in FPGA exploitation IEEE 754 format. The Floating purpose embedded processor performs many operations such as FP-Arithmetic, FP-Logical, FP-Trigonometric, FP-Vector, FP-Complex, FP-Signed, FP-Unsigned. In an exceedingly existing system, a fixed point illustration which give terribly restricted vary and a hard and fast point illustration having the shortcoming to represent a third values. At first separate floating purpose unit design is employed for arithmetic operation. However during this paper Embedded Processor itself performing the many operations in a same processor itself. Floating purpose Embedded Processor having the benefits as giant dynamic varies, less development time and a fewer cycles to execute than a mounted purpose. Floating purpose processors a lot of easier to program in assembly code. Floating purpose operations need a large amount of FPGA resources. The design is meant and then improvement is completed. Improvement shows that they need the advantages of improved space, area-delay product, and outturn. This paper implements AN economical floating purpose operation according to IEEE 754 normal with optimum chip space and high performance exploitation VHDL. The planned style has optimized the complex parts to reach higher overall implementation. Scope of this paper is enforced in real time computations and Floating purpose ALU designed with FPGA offers low price with high economical results.
منابع مشابه
Comparison of Architecture Processors Focusing on ALU and Floating Point Unit Designs
This paper is to evaluate and compare some of the fundamental metrics for selected ALU designs, covering both time and space complexity. The references examined consists of papers from 1999 to present. A total of ten different designs on ALU and Floating points are examined and compared. Some of the key components evaluated are clock rate, memory capacity, components, floating point, ALU, FPGA,...
متن کاملComparison of pipelined IEEE-754 standard floating point adder with unpipelined adder
Many Digital Signal Processing (DSP) algorithms use floating-point arithmetic, which requires millions of calculations per second to be performed. For such stringent requirements, design of fast, precise and efficient circuits is the goal of every VLSI designer. This paper presents a comparison of pipelined floating-point adder complaint with IEEE 754 format with an unpipelined adder also compl...
متن کاملAn FPGA-Based Face Detector Using Neural Network and a Scalable Floating Point Unit
The study implemented an FPGA-based face detector using Neural Networks and a scalable Floating Point arithmetic Unit (FPU). The FPU provides dynamic range and reduces the bit of the arithmetic unit more than fixed point method does. These features led to reduction in the memory so that it is efficient for neural networks system with large size data bits. The arithmetic unit occupies 39~45% of ...
متن کاملArea-Efficient Evaluation of a Class of Arithmetic Expressions Using Deeply Pipelined Floating-Point Cores
Due to technological advances, it has become possible to implement floating-point cores on FPGAs in an effort to provide hardware acceleration for the myriad applications that require high performance floating-point arithmetic. However, in order to achieve a high clock rate, these floating-point cores must be deeply pipelined. Due to this deep pipelining and the complexity of floating-point ari...
متن کاملArea-Efficient Evaluation of Arithmetic Expressions Using Deeply Pipelined Floating-Point Cores
Due to technological advances, it has become possible to implement floating-point cores on FPGAs in an effort to provide hardware acceleration for the myriad applications that require high performance floating-point arithmetic. However, in order to achieve a high clock rate, these floating-point cores must be deeply pipelined. Due to this deep pipelining and the complexity of floating-point ari...
متن کامل