Special Section: Grid computing, high-performance and distributed applications

Pilar Herrero; Daniel S. Katz; María S. Pérez; Domenico Talia

doi:10.1016/j.future.2009.09.003

Special Section: Grid computing, high-performance and distributed applications

Pilar Herrero, Daniel S. Katz, María S. Pérez, Domenico Talia

Research output: Contribution to journal › Article › peer-review

Abstract

The special issue of the Future Generation Computer Systems journal published the extended version of four papers selected from the 16 full papers presented at the International Symposium on Grid Computing, High-Performance and Distributed Applications GADA 2007. The main goal of the GADA series of conferences, was to bring together researchers, developers, professionals, and graduates working to advance research and development in the areas of grid computing and distributed systems and applications. Data access, management and analysis within Grid and distributed high performance environments constituted a main part of the conference to highlight the main goal. The first paper presented a comprehensive model for a fully parallelized On-Line Analytical Processing (OLAP) server. Another team of researchers showed the parallelization of two training algorithms of a multilayer perceptron artificial neural net in the second paper.

Original language	English (US)
Pages (from-to)	257-258
Number of pages	2
Journal	Future Generation Computer Systems
Volume	26
Issue number	2
DOIs	https://doi.org/10.1016/j.future.2009.09.003
State	Published - Feb 2010
Externally published	Yes

ASJC Scopus subject areas

Software
Hardware and Architecture
Computer Networks and Communications

Online availability

10.1016/j.future.2009.09.003

Library availability

Discover UIUC Full Text

Cite this

@article{7c0cfc6961e44fd5b374bc53aaa729a8,

title = "Special Section: Grid computing, high-performance and distributed applications",

abstract = "The special issue of the Future Generation Computer Systems journal published the extended version of four papers selected from the 16 full papers presented at the International Symposium on Grid Computing, High-Performance and Distributed Applications GADA 2007. The main goal of the GADA series of conferences, was to bring together researchers, developers, professionals, and graduates working to advance research and development in the areas of grid computing and distributed systems and applications. Data access, management and analysis within Grid and distributed high performance environments constituted a main part of the conference to highlight the main goal. The first paper presented a comprehensive model for a fully parallelized On-Line Analytical Processing (OLAP) server. Another team of researchers showed the parallelization of two training algorithms of a multilayer perceptron artificial neural net in the second paper.",

author = "Pilar Herrero and Katz, {Daniel S.} and P{\'e}rez, {Mar{\'i}a S.} and Domenico Talia",

year = "2010",

month = feb,

doi = "10.1016/j.future.2009.09.003",

language = "English (US)",

volume = "26",

pages = "257--258",

journal = "Future Generation Computer Systems",

issn = "0167-739X",

publisher = "Elsevier B.V.",

number = "2",

}

TY - JOUR

T1 - Special Section

T2 - Grid computing, high-performance and distributed applications

AU - Herrero, Pilar

AU - Katz, Daniel S.

AU - Pérez, María S.

AU - Talia, Domenico

PY - 2010/2

Y1 - 2010/2

N2 - The special issue of the Future Generation Computer Systems journal published the extended version of four papers selected from the 16 full papers presented at the International Symposium on Grid Computing, High-Performance and Distributed Applications GADA 2007. The main goal of the GADA series of conferences, was to bring together researchers, developers, professionals, and graduates working to advance research and development in the areas of grid computing and distributed systems and applications. Data access, management and analysis within Grid and distributed high performance environments constituted a main part of the conference to highlight the main goal. The first paper presented a comprehensive model for a fully parallelized On-Line Analytical Processing (OLAP) server. Another team of researchers showed the parallelization of two training algorithms of a multilayer perceptron artificial neural net in the second paper.

AB - The special issue of the Future Generation Computer Systems journal published the extended version of four papers selected from the 16 full papers presented at the International Symposium on Grid Computing, High-Performance and Distributed Applications GADA 2007. The main goal of the GADA series of conferences, was to bring together researchers, developers, professionals, and graduates working to advance research and development in the areas of grid computing and distributed systems and applications. Data access, management and analysis within Grid and distributed high performance environments constituted a main part of the conference to highlight the main goal. The first paper presented a comprehensive model for a fully parallelized On-Line Analytical Processing (OLAP) server. Another team of researchers showed the parallelization of two training algorithms of a multilayer perceptron artificial neural net in the second paper.

UR - http://www.scopus.com/inward/record.url?scp=70350134707&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=70350134707&partnerID=8YFLogxK

U2 - 10.1016/j.future.2009.09.003

DO - 10.1016/j.future.2009.09.003

M3 - Article

AN - SCOPUS:70350134707

SN - 0167-739X

VL - 26

SP - 257

EP - 258

JO - Future Generation Computer Systems

JF - Future Generation Computer Systems

IS - 2

ER -

Special Section: Grid computing, high-performance and distributed applications

Abstract

ASJC Scopus subject areas

Online availability

Library availability

Related links

Fingerprint

Cite this