Graduate Thesis Or Dissertation
 

Improving the Karatsuba-Ofman multiplication algorithm for special applications

公开 Deposited

可下载的内容

下载PDF文件
https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/3197xq60h

Descriptions

Attribute NameValues
Creator
Abstract
  • In this thesis, we study the Karatsuba-Ofman Algorithm (KOA), which is a recursive multi-precision multiplication method, and improve it for certain special applications. This thesis is in two parts. In the first part, we derive an efficient algorithm from the KOA to multiply the operands having a precision of 2[superscript m] computer words for some integer m. This new algorithm is less complex and three times less recursive than the KOA. However, the order of the complexity is the same as the KOA. In the second part of the thesis, we introduce a novel method to perform fast multiplication in GF(2[superscript m]), using the KOA. This method is intended for software implementations and has two phases. In the first phase, we treat the field elements in GF(2[superscript m]) as polynomials over GF(2) and multiply them by a technique based on the KOA, which we call the LKOA (lean KOA). In the second phase, we reduce the product with an irreducible trinomial or pentanomial. The LKOA is similar to the KOA. However, it stops the recursions early and switches to some nonrecursive algorithms which can efficiently multiply small polynomials over GF(2). We derive these nonrecursive algorithms from the KOA, by removing its recursions. Additionally, we optimize them, exploiting the arithmetic of the polynomials over GF(2). As a result, we obtain a decrease in complexity, as well as a reduction in the recursion overhead.
License
Resource Type
Date Available
Date Issued
Degree Level
Degree Name
Degree Field
Degree Grantor
Commencement Year
Advisor
Academic Affiliation
Non-Academic Affiliation
Subject
权利声明
Publisher
Peer Reviewed
Language
Digitization Specifications
  • File scanned at 300 ppi (Monochrome) using Capture Perfect 3.0 on a Canon DR-9050C in PDF format. CVista PdfCompressor 4.0 was used for pdf compression and textual OCR.
Replaces

关联

Parents:

This work has no parents.

属于 Collection:

单件

缩略图 标题 上传日期 公开度 行动
file details ErdemSerdarS2002.pdf 2017-08-19 公开 下载