About: Can Linear Approximation Improve Performance Prediction ?

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Can Linear Approximation Improve Performance Prediction ? Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://www.springerlink.com/content/50868p3861927512/
Description	Software performance evaluation relies on the ability of simple models to predict the performance of complex systems. Often, however, the models are not capturing potentially relevant effects in system behavior, such as sharing of memory caches or sharing of cores by hardware threads. The goal of this paper is to investigate whether and to what degree a simple linear adjustment of service demands in software performance models captures these effects and thus improves accuracy. Outlined experiments explore the limits of the approach on two hardware platforms that include shared caches and hardware threads, with results indicating that the approach can improve throughput prediction accuracy significantly, but can also lead to loss of accuracy when the performance models are otherwise defective. Software performance evaluation relies on the ability of simple models to predict the performance of complex systems. Often, however, the models are not capturing potentially relevant effects in system behavior, such as sharing of memory caches or sharing of cores by hardware threads. The goal of this paper is to investigate whether and to what degree a simple linear adjustment of service demands in software performance models captures these effects and thus improves accuracy. Outlined experiments explore the limits of the approach on two hardware platforms that include shared caches and hardware threads, with results indicating that the approach can improve throughput prediction accuracy significantly, but can also lead to loss of accuracy when the performance models are otherwise defective. (en)
Title	Can Linear Approximation Improve Performance Prediction ? Can Linear Approximation Improve Performance Prediction ? (en)
skos:prefLabel	Can Linear Approximation Improve Performance Prediction ? Can Linear Approximation Improve Performance Prediction ? (en)
skos:notation	RIV/00216208:11320/11:10099123!RIV12-GA0-11320___
http://linked.open...avai/predkladatel	Matematicko-fyzikální fakulta
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(GCP202/10/J042), P(GD201/09/H057), Z(MSM0021620838)
http://linked.open...iv/cisloPeriodika	6977
http://linked.open...vai/riv/dodaniDat	2012
http://linked.open...aciTvurceVysledku	Tůma, Petr Babka, Vlastimil
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Univerzita Karlova v Praze / Matematicko-fyzikální fakulta
http://linked.open...dnocenehoVysledku	189088
http://linked.open...ai/riv/idVysledku	RIV/00216208:11320/11:10099123
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	linear models; resource sharing; performance modeling (en)
http://linked.open.../riv/klicoveSlovo	linear models performance modeling resource sharing
http://linked.open...odStatuVydavatele	DE - Spolková republika Německo
http://linked.open...ontrolniKodProRIV	[30ED8A3579D2]
http://linked.open...i/riv/nazevZdroje	Lecture Notes in Computer Science
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Res Informatica Model-Driven Evaluation of Design Decision Impacts in Software Engineering
http://linked.open...UplatneniVysledku	2011
http://linked.open...v/svazekPeriodika	2011
http://linked.open...iv/tvurceVysledku	Babka, Vlastimil Tůma, Petr
http://linked.open...n/vavai/riv/zamer	Moderní metody, struktury a systémy informatiky
issn	0302-9743
number of pages	15 (xsd:int)
http://bibframe.org/vocab/doi	10.1007/978-3-642-24749-1_19
http://localhost/t...ganizacniJednotka	11320
is http://linked.open...avai/riv/vysledek of	Can Linear Approximation Improve Performance Prediction ? Can Linear Approximation Improve Performance Prediction ?

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software