ORION3.0: A Comprehensive NoC Router Estimation Tool

Author

Kahng, Andrew B. ; Lin, Bill ; Nath, Siddhartha

Author_Institution

Dept. of Comput. Sci. & Eng., Univ. of California, San Diego, La Jolla, CA, USA

Volume

7

Issue

2

fYear

2015

fDate

Jun-15

Firstpage

41

Lastpage

45

Abstract

Networks-on-Chip (NoCs) are increasingly used in many-core architectures. ORION2.0 (see Ref [1] Kahng etal., Proc. DATE, 2009, pp. 423-428) is a widely adopted NoC power and area estimation tool, but its estimation models can have large errors (up to 185%) versus actual implementations. We present ORION3.0, an open-source tool whose parametric and nonparametric modeling methodologies fundamentally differ from ORION2.0 logic template-based approaches in that the estimation models are derived from actual physical implementation data. When compared with actual implementations, ORION3.0 models achieve average estimation errors of no more than 9.3% across microarchitecture, implementation, and operational parameters as well as multiple router RTL generators. A comprehensive suite of these methodologies has been implemented in ORION3.0 (see Ref [2] Available online: http://vlsicad.ucsd.edu/ORION3/.

Keywords

network routing; network-on-chip; parameter estimation; NoC router estimation tool; ORION3.0; microarchitecture; multiple router RTL generators; network-on-chip; open-source tool; operational parameters; Data models; Estimation error; Libraries; Mars; Parametric statistics; Training; Metamodeling; networks-on-chip (NoCs); regression;

fLanguage

English

Journal_Title

Embedded Systems Letters, IEEE

Publisher

ieee

ISSN

1943-0663

Type

jour

DOI

10.1109/LES.2015.2402197

Filename

7038180