IEICE Technical Committee Submission System
Conference Paper's Information		 Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2022-01-24 14:25

() VLD2021-56 CPSY2021-25 RECONF2021-64
Abstract (in Japanese) (See Japanese page) 
(in English) The current development of simulators and machine learning technologies in science and technology is expected to lead to an explosive demand for computation. On the other hand, Japan is aiming to achieve a low-carbon society, where carbon dioxide emissions are reduced. Therefore, it is important to develop a highly efficient computing infrastructure that can achieve high performance with low power consumption. In this study, we propose an efficient computation method for sparse matrix-sparse matrix multiplication (SpGEMM), which is often used in scientific and engineering calculations, by implementing an additional sparse matrix-sparse matrix multiplication mechanism in IMAX2, a CGRA with sparse matrix compression. In the prototype environment on FPGA, IMAX2 is evaluated and estimated to be 14 times more efficient than Jetson TX2 and 30 times more efficient than RTX3090 when implemented in ASIC.
Keyword (in Japanese) (See Japanese page) 
(in English) / / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 343, CPSY2021-25, pp. 38-42, Jan. 2022.
Paper # CPSY2021-25 
Date of Issue 2022-01-17 (VLD, CPSY, RECONF) 
ISSN 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 VLD2021-56 CPSY2021-25 RECONF2021-64

Conference Information
Committee RECONF VLD CPSY IPSJ-ARC IPSJ-SLDM  
Conference Date 2022-01-24 - 2022-01-25 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) FPGA Applications, etc. 
Paper Information
Registration To CPSY 
Conference Code 2022-01-RECONF-VLD-CPSY-ARC-SLDM 
Language Japanese without English title) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English)  
Sub Title (in English)  
Keyword(1)  
Keyword(2)  
Keyword(3)  
Keyword(4)  
Keyword(5)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name  
1st Author's Affiliation ()
2nd Author's Name  
2nd Author's Affiliation ()
3rd Author's Name  
3rd Author's Affiliation ()
4th Author's Name  
4th Author's Affiliation ()
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
Speaker Author-1 
Date Time 2022-01-24 14:25:00 
Presentation Time 25 minutes 
Registration for CPSY 
Paper # VLD2021-56, CPSY2021-25, RECONF2021-64 
Volume (vol) vol.121 
Number (no) no.342(VLD), no.343(CPSY), no.344(RECONF) 
Page pp.38-42 
#Pages 5 
Date of Issue 2022-01-17 (VLD, CPSY, RECONF) 

[Return to Top Page]

[Return to IEICE Web Page]
The Institute of Electronics, Information and Communication Engineers (IEICE), Japan