Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/141444
Title: Framework for rapid performance estimation of embedded soft core processors
Authors: Wijesundera, Deshya
Prakash, Alok
Srikanthan, Thambipillai
Ihalage, Achintha
Keywords: Engineering::Computer science and engineering
Issue Date: 2018
Source: Wijesundera, D., Prakash, A., Srikanthan, T., & Ihalage, A. (2018). Framework for rapid performance estimation of embedded soft core processors. ACM Transactions on Reconfigurable Technology and Systems, 11(2), 9-. doi:10.1145/3195801
Journal: ACM Transactions on Reconfigurable Technology and Systems
Abstract: The large number of embedded soft core processors available today make it tedious and time consuming to select the best processor for a given application. This task is even more challenging due to the numerous configuration options available for a single soft core processor while optimizing for contradicting design requirements such as performance and area. In this article, we propose a generic framework for rapid performance estimation of applications on soft core processors. The proposed technique is scalable to the large number of configuration options available in modern soft core processors by relying on rapid and accurate estimation models instead of time-consuming FPGA synthesis and execution-based techniques. Experimental results on two leading commercial soft core processors executing applications from the widely used CHStone benchmark suite show an average error of less than 6% while running in the order of minutes when compared to hours taken by synthesis-based techniques.
URI: https://hdl.handle.net/10356/141444
ISSN: 1936-7406
DOI: 10.1145/3195801
Rights: © 2018 Association for Computing Machinery. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Journal Articles

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