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Paper Abstract and Keywords
Presentation 2020-02-27 17:00
HLS by multi-objective optimization under resource constraints -- Approach to extracting coarse-grained parallelism using functional language --
Fukuhei Hamazaki, Tetsuro Yamazaki, Ryota Shioya (U-Tokyo), Kenichi Koizumi, Hiroshi Tezuka, Mary Inaba (U-Tokyo) CPSY2019-104 DC2019-110
Abstract (in Japanese) (See Japanese page) 
(in English) For engineers who are not familiar with circuits, it is difficult to optimize circuit considering trade-off factors such as latency, hardware resources, and power consumption. In this research, we proposed a new HLS system, which utilizes coarse-grained parallelism. It extracts parallel code blocks and determines parallelism of each block by solving multi-objective optimization problems. We implemented under the condition that there is no branch in the data flow graph. We conducted experiments to synthesize an optimal circuit under device constraints. As a result, we confirmed that the optimal device and circuit differed depending on how much emphasis was placed on time and power consumption.
Keyword (in Japanese) (See Japanese page) 
(in English) high-level synthesis / resource-constraint / function language / coarse-grained parallel / multi-objective optimization / skyline / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 428, CPSY2019-104, pp. 99-104, Feb. 2020.
Paper # CPSY2019-104 
Date of Issue 2020-02-20 (CPSY, DC) 
ISSN Online edition: ISSN 2432-6380
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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)
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Conference Information
Committee CPSY DC IPSJ-SLDM IPSJ-EMB IPSJ-ARC  
Conference Date 2020-02-27 - 2020-02-28 
Place (in Japanese) (See Japanese page) 
Place (in English) Yoron-cho Chuou-Kouminkan 
Topics (in Japanese) (See Japanese page) 
Topics (in English) ETNET 2020 
Paper Information
Registration To CPSY 
Conference Code 2020-02-CPSY-DC-SLDM-EMB-ARC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) HLS by multi-objective optimization under resource constraints 
Sub Title (in English) Approach to extracting coarse-grained parallelism using functional language 
Keyword(1) high-level synthesis  
Keyword(2) resource-constraint  
Keyword(3) function language  
Keyword(4) coarse-grained parallel  
Keyword(5) multi-objective optimization  
Keyword(6) skyline  
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1st Author's Name Fukuhei Hamazaki  
1st Author's Affiliation Tokyo University (U-Tokyo)
2nd Author's Name Tetsuro Yamazaki  
2nd Author's Affiliation Tokyo University (U-Tokyo)
3rd Author's Name Ryota Shioya  
3rd Author's Affiliation Tokyo University (U-Tokyo)
4th Author's Name Kenichi Koizumi  
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5th Author's Name Hiroshi Tezuka  
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6th Author's Name Mary Inaba  
6th Author's Affiliation Tokyo University (U-Tokyo)
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Speaker Author-1 
Date Time 2020-02-27 17:00:00 
Presentation Time 20 minutes 
Registration for CPSY 
Paper # CPSY2019-104, DC2019-110 
Volume (vol) vol.119 
Number (no) no.428(CPSY), no.429(DC) 
Page pp.99-104 
#Pages
Date of Issue 2020-02-20 (CPSY, DC) 


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