Multicore performance prediction with MPET

Using scalability characteristics for statistical cross-architecture prediction

verfasst von

Oliver Jakob Arndt, Matthias Lüders, Christoph Riggers, Holger Blume

Abstract

Multicore processors serve as target platforms in a broad variety of applications ranging from high-performance computing to embedded mobile computing and automotive applications. But, the required parallel programming opens up a huge design space of parallelization strategies each with potential bottlenecks. Therefore, an early estimation of an application’s performance is a desirable development tool. However, out-of-order execution, superscalar instruction pipelines, as well as communication costs and (shared-) cache effects essentially influence the performance of parallel programs. While offering low modeling effort and good simulation speed, current approximate analytic models provide moderate prediction results so far. Virtual prototyping requires a time-consuming simulation, but produces better accuracy. Furthermore, even existing statistical methods often require detailed knowledge of the hardware for characterization. In this work, we present a concept called Multicore Performance Evaluation Tool (MPET) and its evaluation for a statistical approach for performance prediction based on abstract runtime parameters, which describe an application’s scalability behavior and can be extracted from profiles without user input. These scalability parameters not only include information on the interference of software demands and hardware capabilities, but indicate bottlenecks as well. Depending on the database setup, we achieve a competitive accuracy of 20% mean prediction error (11% median), which we also demonstrate in a case study.

Organisationseinheit(en)

Institut für Mikroelektronische Systeme

Typ

Artikel

Journal

Journal of Signal Processing Systems

Band

92

Seiten

981-998

Anzahl der Seiten

18

ISSN

1939-8018

Publikationsdatum

09.2020

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Steuerungs- und Systemtechnik, Theoretische Informatik, Signalverarbeitung, Information systems, Modellierung und Simulation, Hardware und Architektur

Elektronische Version(en)

https://doi.org/10.1007/s11265-020-01563-w (Zugang: Offen)
https://doi.org/10.1007/s11265-021-01691-x (Zugang: Offen)