English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
 Local TagsRelease HistoryDetailsSummary
  Structuring distributed relation-based computations with SCDRC

Botta, N., Ionescu, C., Linstead, C., Klein, R. (2006): Structuring distributed relation-based computations with SCDRC, (PIK Report ; 103), Potsdam : Potsdam-Institut für Klimafolgenforschung, 61 p.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_13823 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_13823_2
Genre: Report

Files

show Files
hide Files
:
botta1.pdf (Any fulltext), 967KB
 
File Permalink:
-
Name:
botta1.pdf
Description:
-
OA-Status:
Visibility:
Private
MIME-Type / Checksum:
application/pdf
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show
hide
Locator:
https://www.pik-potsdam.de/en/output/publications/pikreports (Publisher version)
Description:
-
OA-Status:

Creators

show
hide
 Creators:
Botta, N.1, Author
Ionescu, C.1, Author
Linstead, C.1, Author
Klein, R.1, Author
Affiliations:
1Potsdam Institute for Climate Impact Research and Cooperation Partners, ou_persistent13              

Content

show
hide
Free keywords: -
 Abstract: In this report we present a set of software components for distributed relation-based computations (SCDRC). We explain how SCDRC can be used to structure parallel computations in a single-program multiple-data computational environment.

First, we introduce relation-based algorithms and relation-based computations as generic patterns in scientific computing. We then discuss the problems that have to be solved to parallelize such patterns and propose a high-level formalism for specifying these problems.

This formalism is then applied to derive parallel distributed relation-based computations. These are implemented in the C++ library SCDRC. We present language independent elements of SCDRC and discuss C++ specific aspects of its design and architecture.

Finally, we discuss how to use SCDRC in a simple application and provide preliminary performance figures.

Details

show
hide
Language(s): eng - English
 Dates: 20062006
 Publication Status: Finally published
 Pages: 61
 Publishing info: Potsdam : Potsdam-Institut für Klimafolgenforschung
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 3061
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: PIK Report
Source Genre: Series
 Creator(s):
Potsdam-Institut für Klimafolgenforschung, Editor              
Affiliations:
-
Publ. Info: -
Pages: - Volume / Issue: 103 Sequence Number: - Start / End Page: - Identifier: ISSN: 1436-0179