Cover Image

Algorithmic implementation to achieve high speed mathematical addition on Silicon for 128 bits and larger

Organized by Kolej Universiti Kejuruteraan Utara Malaysia (KUKUM), 18th - 19th May 2005 at Putra Palace Hotel, Kangar.

Saved in:
Bibliographic Details
Main Author: Weng, Fook Lee
Format: Working Paper
Language:English
Published: Kolej Universiti Kejuruteraan Utara Malaysia 2009
Subjects:
Integrated circuits
Silicon
Microprocessors
Very Large Scale Integration (VLSI)
Microprocessors > Design and construction
High speed adder
Mathematical algorithms
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/7132
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.unimap-7132
record_format dspace
spelling my.unimap-71322009-09-03T03:08:00Z Algorithmic implementation to achieve high speed mathematical addition on Silicon for 128 bits and larger Weng, Fook Lee Integrated circuits Silicon Microprocessors Very Large Scale Integration (VLSI) Microprocessors -- Design and construction High speed adder Mathematical algorithms Organized by Kolej Universiti Kejuruteraan Utara Malaysia (KUKUM), 18th - 19th May 2005 at Putra Palace Hotel, Kangar. Mathematical addition is frequently used in VLSI IC design, namely in Arithmetic Logic Unit (ALU) which forms the basis of microprocessor computation core. The performance of the microprocessor is partially dependent on the performance of the ALU and the ALU is partially dependent on the performance of the adder which forms the basic computational circuit within the ALU. Therefore, to achieve high performance mathematical computation on a microprocessor, the adder must be able to perform high performance addition. With the ever increasing bit size of microprocessors, designing an adder circuit for mathematical computation of large bit size becomes an issue. This paper proposes a method to design a high speed adder circuitry using carry skip algorithm that allows for parallel computation of large bit size numbers. 2009-09-03T03:08:00Z 2009-09-03T03:08:00Z 2005-05-18 Working Paper p.71-76 http://hdl.handle.net/123456789/7132 en Proceedings of the 1st National Conference on Electronic Design Kolej Universiti Kejuruteraan Utara Malaysia
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Integrated circuits
Silicon
Microprocessors
Very Large Scale Integration (VLSI)
Microprocessors -- Design and construction
High speed adder
Mathematical algorithms
spellingShingle Integrated circuits
Silicon
Microprocessors
Very Large Scale Integration (VLSI)
Microprocessors -- Design and construction
High speed adder
Mathematical algorithms
Weng, Fook Lee
Algorithmic implementation to achieve high speed mathematical addition on Silicon for 128 bits and larger
description Organized by Kolej Universiti Kejuruteraan Utara Malaysia (KUKUM), 18th - 19th May 2005 at Putra Palace Hotel, Kangar.
format Working Paper
author Weng, Fook Lee
author_facet Weng, Fook Lee
author_sort Weng, Fook Lee
title Algorithmic implementation to achieve high speed mathematical addition on Silicon for 128 bits and larger
title_short Algorithmic implementation to achieve high speed mathematical addition on Silicon for 128 bits and larger
title_full Algorithmic implementation to achieve high speed mathematical addition on Silicon for 128 bits and larger
title_fullStr Algorithmic implementation to achieve high speed mathematical addition on Silicon for 128 bits and larger
title_full_unstemmed Algorithmic implementation to achieve high speed mathematical addition on Silicon for 128 bits and larger
title_sort algorithmic implementation to achieve high speed mathematical addition on silicon for 128 bits and larger
publisher Kolej Universiti Kejuruteraan Utara Malaysia
publishDate 2009
url http://dspace.unimap.edu.my/xmlui/handle/123456789/7132
_version_ 1643788689387552768
score 13.214268

Similar Items