Framework for rapid performance estimation of embedded soft core processors
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 cont...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
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2020
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| Online Access: | https://hdl.handle.net/10356/141444 |
| _version_ | 1826126654029692928 |
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| author | Wijesundera, Deshya Prakash, Alok Srikanthan, Thambipillai Ihalage, Achintha |
| author2 | School of Computer Science and Engineering |
| author_facet | School of Computer Science and Engineering Wijesundera, Deshya Prakash, Alok Srikanthan, Thambipillai Ihalage, Achintha |
| author_sort | Wijesundera, Deshya |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T06:56:12Z |
| format | Journal Article |
| id | ntu-10356/141444 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:56:12Z |
| publishDate | 2020 |
| record_format | dspace |
| spelling | ntu-10356/1414442020-06-08T08:16:58Z Framework for rapid performance estimation of embedded soft core processors Wijesundera, Deshya Prakash, Alok Srikanthan, Thambipillai Ihalage, Achintha School of Computer Science and Engineering Hardware & Embedded Systems Lab Engineering::Computer science and engineering Soft Processor Performance Modeling and Analysis 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. 2020-06-08T08:16:57Z 2020-06-08T08:16:57Z 2018 Journal Article 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 1936-7406 https://hdl.handle.net/10356/141444 10.1145/3195801 2-s2.0-85051844889 2 11 en ACM Transactions on Reconfigurable Technology and Systems © 2018 Association for Computing Machinery. All rights reserved. |
| spellingShingle | Engineering::Computer science and engineering Soft Processor Performance Modeling and Analysis Wijesundera, Deshya Prakash, Alok Srikanthan, Thambipillai Ihalage, Achintha Framework for rapid performance estimation of embedded soft core processors |
| title | Framework for rapid performance estimation of embedded soft core processors |
| title_full | Framework for rapid performance estimation of embedded soft core processors |
| title_fullStr | Framework for rapid performance estimation of embedded soft core processors |
| title_full_unstemmed | Framework for rapid performance estimation of embedded soft core processors |
| title_short | Framework for rapid performance estimation of embedded soft core processors |
| title_sort | framework for rapid performance estimation of embedded soft core processors |
| topic | Engineering::Computer science and engineering Soft Processor Performance Modeling and Analysis |
| url | https://hdl.handle.net/10356/141444 |
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