On The Accuracy of Cache Sharing Models

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F12%3A10107635" target="_blank" >RIV/00216208:11320/12:10107635 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1145/2188286.2188294" target="_blank" >http://dx.doi.org/10.1145/2188286.2188294</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/2188286.2188294" target="_blank" >10.1145/2188286.2188294</a>

Jazyk výsledku

angličtina

Název v původním jazyce

On The Accuracy of Cache Sharing Models

Popis výsledku v původním jazyce

Memory caches significantly improve the performance of workloads that have temporal and spatial locality by providing faster access to data. Current processor designs have multiple cores sharing a cache. To accurately model a workload performance and toimprove system throughput by intelligently scheduling workloads on cores, we need to understand how sharing caches between workloads affects their data accesses. Past research has developed analytical models that estimate the cache behavior for combinedworkloads given the stack distance profiles describing these workloads. We extend this research by presenting an analytical model with contributions to accuracy and composability -- our model makes fewer simplifying assumptions than earlier models, and its output is in the same format as its input, which is an important property for hierarchical composition during software performance modeling. To compare the accuracy of our analytical model with earlier models, we attempted to reproduce

Název v anglickém jazyce

On The Accuracy of Cache Sharing Models

Popis výsledku anglicky

Memory caches significantly improve the performance of workloads that have temporal and spatial locality by providing faster access to data. Current processor designs have multiple cores sharing a cache. To accurately model a workload performance and toimprove system throughput by intelligently scheduling workloads on cores, we need to understand how sharing caches between workloads affects their data accesses. Past research has developed analytical models that estimate the cache behavior for combinedworkloads given the stack distance profiles describing these workloads. We extend this research by presenting an analytical model with contributions to accuracy and composability -- our model makes fewer simplifying assumptions than earlier models, and its output is in the same format as its input, which is an important property for hierarchical composition during software performance modeling. To compare the accuracy of our analytical model with earlier models, we attempted to reproduce

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

ICPE '12 Proceedings of the third joint WOSP/SIPEW international conference on Performance Engineering

ISBN

978-1-4503-1202-8

ISSN

—

e-ISSN

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Počet stran výsledku

12

Strana od-do

21-32

Název nakladatele

ACM

Místo vydání

New York, NY, USA

Místo konání akce

Boston, USA

Datum konání akce

22. 4. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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