A design of high speed double precision floating point adder using macro modules

Author(s):  
Chi Huang ◽  
Xinyu Wu ◽  
Jinmei Lai ◽  
Chengshou Sun ◽  
Gang Li
2014 ◽  
Vol 550 ◽  
pp. 126-136
Author(s):  
N. Ramya Rani

:Floating point arithmetic plays a major role in scientific and embedded computing applications. But the performance of field programmable gate arrays (FPGAs) used for floating point applications is poor due to the complexity of floating point arithmetic. The implementation of floating point units on FPGAs consumes a large amount of resources and that leads to the development of embedded floating point units in FPGAs. Embedded applications like multimedia, communication and DSP algorithms use floating point arithmetic in processing graphics, Fourier transformation, coding, etc. In this paper, methodologies are presented for the implementation of embedded floating point units on FPGA. The work is focused with the aim of achieving high speed of computations and to reduce the power for evaluating expressions. An application that demands high performance floating point computation can achieve better speed and density by incorporating embedded floating point units. Additionally this paper describes a comparative study of the design of single precision and double precision pipelined floating point arithmetic units for evaluating expressions. The modules are designed using VHDL simulation in Xilinx software and implemented on VIRTEX and SPARTAN FPGAs.


2009 ◽  
Vol 58 (1) ◽  
pp. 18-31 ◽  
Author(s):  
Martin Burtscher ◽  
Paruj Ratanaworabhan

Currently, each CPU has one or additional Floating Point Units (FPUs) integrated inside it. It is usually utilized in math wide-ranging applications, such as digital signal processing. It is found in places be established in engineering, medical and military fields in adding along to in different fields requiring audio, image or video handling. A high-speed and energy-efficient floating point unit is naturally needed in the electronics diligence as an arithmetic unit in microprocessors. The most operations accounting 95% of conformist FPU are multiplication and addition. Many applications need the speedy execution of arithmetic operations. In the existing system, the FPM(Floating Point Multiplication) and FPA(Floating Point Addition) have more delay and fewer speed and fewer throughput. The demand for high speed and throughput intended to design the multiplier and adder blocks within the FPM (Floating point multiplication)and FPA(Floating Point Addition) in a format of single precision floating point and double-precision floating point operation is internally pipelined to achieve high throughput and these are supported by the IEEE 754 standard floating point representations. This is designed with the Verilog code using Xilinx ISE 14.5 software tool is employed to code and verify the ensuing waveforms of the designed code


The development of processors with sundry suggestions have been made regarding a exactitude definition of RISC, but the prosaic concept is that such a computer has a small set of simple and prosaic instructions, instead of an outsized set of intricate and specialized instructions. This project proposes the planning of a high speed 64 bit RISC processor. The miens of this processor consume less power and it contrives on high speed. The processor comprises of sections namely Instruction Fetch section, Instruction Decode section, and Execution section. The ALU within the execution section comprises a double-precision floating-point multiplier designed during a corollary architecture thus improving the speed and veracity of the execution. All the sections are designed using Verilog coding. Monotonous instruction format, cognate prosaic-purpose registers, and pellucid addressing modes were the other miens. RISC exemplified as Reduced Instruction Set Computer. For designing high-performance processors, RISC is considered to be the footing. The RISC processor has a diminished number of Instructions, fixed instruction length, more prosaic-purpose register which are catalogued into the register file, load-store architecture and facilitate addressing modes which make diacritic instruction execute faster and achieve a net gain in performance. Thus the cardinal intent of this paper is to consummate the veridicality by devouring less power, area and with merest delay and it would be done by reinstating the floating-point ALU with single precision section by floating- point double precision section. Video processing, telecommunications and image processing were the high end applications used by architecture


2012 ◽  
Vol 60 (13) ◽  
pp. 21-26
Author(s):  
Addanki PurnaRamesh ◽  
Dhanalakshmi Balusu

2013 ◽  
Vol 694-697 ◽  
pp. 1093-1097
Author(s):  
Zhao Xue ◽  
Liu Quan ◽  
Xiao Fei Wang

This article discusses one-dimensional Kalman filter algorithm using FPGA hardware IP core implementation process. First of all, to program the FPGA matrix operations, implementation of double precision floating point. Then the Kalman filter algorithm programmed in MATLAB, to verify the correctness of the algorithm thinking. Finally the MATLAB language programming algorithm is converted into VHDL language. And call 64 a double precision floating point data algorithm realizes the design of 1-D Kalman filtration algorithm IP core, which make the Kalman filter meet the high precision as well as high speed to complete complex algorithm.


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