Elena ZAHARIEVA-STOYANOVA and Lorentz JÄNTSCHI (2003) Application of Software Data Dependency Detection Algorithm in Superscalar Computer Architecture

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Application of Software Data Dependency Detection Algorithm in Superscalar Computer Architecture

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CONTRIBUTORS:

	Author:	Elena ZAHARIEVA-STOYANOVA
	Author:	Lorentz JÄNTSCHI (Technical University of Cluj-Napoca)

PROCEEDINGS TITLE:

International Conference on Computer Systems and Technologies (e-Learning)

YEAR:

2003

PUB TYPE:

Conference Paper in Proceedings

PAGES:

274 - 276

SUBJECT(S):

education - methodology; education - training; informatics - parallel processing; informatics - systems architectures

DISCIPLINE:

Computer Science

HTTP:

http://lori.academicdirect.org/conferences/work_list.php?user=lori&id=73

LANGUAGE:

English

PUB ID:

103-435-261 (Last edited on 2007/06/16 06:03:59 GMT-6)

SPONSOR(S):

ABSTRACT:
This paper treats the problem of detection of data hazards in superscalar execution. The algorithm of independent instruction detection is represented. It can be used in out-of-order execution logic and code optimised algorithms. The algorithm uses the platform of Intel Pentium architecture and analyse the IA-32 instruction set. The algorithm is implemented in a software simulator, which represents the way the Intel Pentium Processor works. It can be used in software module, which simulates out-of-order execution logic.

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