SCISM vs IA-64 Tagging: Differences/Code Density Effects

Georgi Gaydadjiev; Stamatis Vassiliadis

doi:10.1007/978-3-540-27866-5_74

SCISM vs IA-64 Tagging: Differences/Code Density Effects

Georgi Gaydadjiev^*, Stamatis Vassiliadis

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

In this paper we first present two tagging mechanisms; the SCISM and IA-64; thereafter we describe the mapping of IA-64 ISA to a SCISM configuration without changing or reassigning the IA-64 instructions to preserve the original architectural properties. Under this limiting SCISM scenario, opcode reassignment will improve even more the SCISM performance, it is shown that SCISM tagging will significantly improve (between 21 and 29%) static code density. The results are based on analysis of various SPECINT2000 executables.

Original language	English
Title of host publication	Euro-Par 2004 Parallel Processing
Editors	Marco Danelutto, Marco Vanneschi, Domenico Laforenza
Publisher	Springer
Pages	571-577
Number of pages	7
ISBN (Electronic)	978-3-540-27866-5
ISBN (Print)	978-3-540-22924-7
DOIs	https://doi.org/10.1007/978-3-540-27866-5_74
Publication status	Published - 2004
Externally published	Yes
Event	10th International Euro-Par Conference on Parallel Processing - Pisa, Italy Duration: 1-Jan-2004 → …

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	3149
ISSN (Print)	0302-9743

Conference

Conference	10th International Euro-Par Conference on Parallel Processing
Country/Territory	Italy
City	Pisa
Period	01/01/2004 → …

Keywords

instruction tagging
instruction level parallelism
SCISM
IA-64

Access to Document

10.1007/978-3-540-27866-5_74

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Persistent link

Cite this

@inproceedings{1c5fd3e005be4d599e80ec9b3760e781,

title = "SCISM vs IA-64 Tagging: Differences/Code Density Effects",

abstract = "In this paper we first present two tagging mechanisms; the SCISM and IA-64; thereafter we describe the mapping of IA-64 ISA to a SCISM configuration without changing or reassigning the IA-64 instructions to preserve the original architectural properties. Under this limiting SCISM scenario, opcode reassignment will improve even more the SCISM performance, it is shown that SCISM tagging will significantly improve (between 21 and 29%) static code density. The results are based on analysis of various SPECINT2000 executables.",

keywords = "instruction tagging, instruction level parallelism, SCISM, IA-64",

author = "Georgi Gaydadjiev and Stamatis Vassiliadis",

year = "2004",

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series = "Lecture Notes in Computer Science",

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pages = "571--577",

editor = "Marco Danelutto and Marco Vanneschi and Domenico Laforenza",

booktitle = "Euro-Par 2004 Parallel Processing",

note = "10th International Euro-Par Conference on Parallel Processing ; Conference date: 01-01-2004",

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Gaydadjiev, G & Vassiliadis, S 2004, SCISM vs IA-64 Tagging: Differences/Code Density Effects. in M Danelutto, M Vanneschi & D Laforenza (eds), Euro-Par 2004 Parallel Processing. Lecture Notes in Computer Science, vol. 3149, Springer, pp. 571-577, 10th International Euro-Par Conference on Parallel Processing, Pisa, Italy, 01/01/2004. https://doi.org/10.1007/978-3-540-27866-5_74

SCISM vs IA-64 Tagging : Differences/Code Density Effects. / Gaydadjiev, Georgi; Vassiliadis, Stamatis.

Euro-Par 2004 Parallel Processing. ed. / Marco Danelutto; Marco Vanneschi; Domenico Laforenza. Springer, 2004. p. 571-577 (Lecture Notes in Computer Science; Vol. 3149).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AB - In this paper we first present two tagging mechanisms; the SCISM and IA-64; thereafter we describe the mapping of IA-64 ISA to a SCISM configuration without changing or reassigning the IA-64 instructions to preserve the original architectural properties. Under this limiting SCISM scenario, opcode reassignment will improve even more the SCISM performance, it is shown that SCISM tagging will significantly improve (between 21 and 29%) static code density. The results are based on analysis of various SPECINT2000 executables.

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