A Multi-objective and Hierarchical Exploration Tool for SoC Performance Estimation

Autor:	Dragomir Milojevic, Aliénor Richard, Alexis Vander Biest, Frédéric Robert
Rok vydání:	2008
Předmět:	Computer engineering Design space exploration Performance estimation Computer science Real-time computing Design flow Degrees of freedom Performance prediction Abstraction layer
Zdroj:	Lecture Notes in Computer Science ISBN: 9783540705499 SAMOS
DOI:	10.1007/978-3-540-70550-5_10
Popis:	In this paper we present a flexible performance estimation tool called Nessie developed to provide system-on-chip designers with automated multi-objective design space exploration and its related tool called Yeti building and executing reusable closed-formed models. After reviewing the existing closed-formed expressions based and application/platform mapping performance estimation tools, we propose an hybrid tool to cope with their limitations. We present a brief summary of the functionalities of Yeti and describe Nessie, our hierarchical application/platform performance estimation mapping tool which banalizes all the degrees of freedom for in-depth design space exploration and introduces multi-objective modeling. Through this paper, we explain how the combination of these tools provides the designer with innovative and powerful functionalities for performance prediction at the earlier stages of the design flow.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::5babfd5d23b9c893289803f2a071a591 https://doi.org/10.1007/978-3-540-70550-5_10 Zobrazit plný text záznamu