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| Paper Abstract and Keywords | ||
| Presentation | 2015-12-03 11:40 Accuracy Analysis of Machine Learning based Performance Modeling for Microprocessors Yoshihiro Tanaka, Takatsugu Ono, Koji Inoue (Kyushu Univ.)  CPSY2015-74 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | When designing a computer system, a system designer need to select an appropriate processor to satisfy design constraints if an application to be executed is determined in advance. It is quite costly to implement the application onto all of the processor candidates. One of the representative approaches to address the above problem is to estimate the application’s performance on each target processor by using performance models based on machine learning. Since its accuracy of depends on various kinds of factors such as quality of training data, machine learning algorithms and so on, it is necessary to choose an appropriate method for the modeling. In this paper, in order to reveal their requirements for accurate performance estimation, we analyze the accuracy of performance models by varying the architecture parameters used for training data and performance modeling method. The result shows that in order to realize accurate performance modeling, CPU clock frequency is necessary to be used in training data and a number of architecture parameters is required to be selected according to the performance modeling method. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Performance Estimation / Machine Learning / Empirical Modeling / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 115, no. 342, CPSY2015-74, pp. 75-80, Dec. 2015. | |
| Paper # | CPSY2015-74 | |
| Date of Issue | 2015-11-24 (CPSY) | |
| ISSN | Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | CPSY2015-74 |
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| Conference Information | |
| Committee | VLD DC IPSJ-SLDM CPSY RECONF ICD CPM |
| Conference Date | 2015-12-01 - 2015-12-03 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Nagasaki Kinro Fukushi Kaikan |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Design Gaia 2015 -New Field of VLSI Design- |
| Paper Information | |
| Registration To | CPSY |
| Conference Code | 2015-12-VLD-DC-SLDM-CPSY-RECONF-ICD-CPM |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Accuracy Analysis of Machine Learning based Performance Modeling for Microprocessors |
| Sub Title (in English) | |
| Keyword(1) | Performance Estimation |
| Keyword(2) | Machine Learning |
| Keyword(3) | Empirical Modeling |
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| 1st Author's Name | Yoshihiro Tanaka |
| 1st Author's Affiliation | Kyushu University (Kyushu Univ.) |
| 2nd Author's Name | Takatsugu Ono |
| 2nd Author's Affiliation | Kyushu University (Kyushu Univ.) |
| 3rd Author's Name | Koji Inoue |
| 3rd Author's Affiliation | Kyushu University (Kyushu Univ.) |
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| Speaker | Author-1 |
| Date Time | 2015-12-03 11:40:00 |
| Presentation Time | 25 minutes |
| Registration for | CPSY |
| Paper # | CPSY2015-74 |
| Volume (vol) | vol.115 |
| Number (no) | no.342 |
| Page | pp.75-80 |
| #Pages | 6 |
| Date of Issue | 2015-11-24 (CPSY) |
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