Microelectronics Engineering Group

Microelectronics Engineering Group

Electronics Technology, Systems and Automation Engineering Department University of Cantabria
Home    Staff    Research    Teaching    Doctorate    Publications    Tools    versión en español Sat 20-Apr-24 . 08:52



Web Map


Location

News

Santander Info

GIM>Research>Publication
   PUBLICATION
 
   Full record
Title:Obtaining Memory Address Traces from Native Co-Simulation for Data Cache Modeling in SystemC
Type:International Conference
Where:XXV Conference on Design of Circuits and Integrated Systems, DCIS'10
Date:2010-11
Authors: Luis Diaz
Héctor Posadas
Eugenio Villar
R&D Lines: Design of HW/SW Embedded Systems
Projects: Artemis SCALOPES
ISBN:978-84-693-73934
PDF File:
Abstract:Native co-simulation is a fast solution for system modeling at early design steps. In this technique, the SW code is annotated with time information from the target processor and, then, it is executed in the workstation combined with a time-approximate HW platform model. This technique allows to simulate systems considering timing effects while simulation speed is maintained close to functional execution. Thus, in early design steps performance estimations can be obtained fast enough to explore the entire design spaces in reduced times. To obtain sufficiently accurate performance estimations, the effect of all the system components must be considered. Among them, processor caches are really important, as they have a strong impact on the overall system performance. However, no techniques for data cache modeling in native-based co-simulation have been proposed. Common cache modeling techniques start from memory access traces, howeve this information cannot be efficiently obtained from a native execution. As a consequence, new solutions are required. In this paper, it is proposed a technique for obtaining data address from the workstation for modeling a data cache. This model allows the designer to obtain cache hit/miss rate estimations. Miss rate estimation error remains below 4% in representatives codes.
Paper
© Copyright GIM (TEISA-UC)    ¤    All rights reserved.    ¤    Legal TermsE-Mail Webmaster