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| Presentation | 2023-11-17 15:40 High-Level Synthesis Implementation of a Reservoir Computing based on Chaotic Boltzmann Machine -- Improving scalability and efficiency of sparse matrix multiplication through a dedicated data compression in external memory -- Shigeki Matsumoto, Yuki Ichikawa, Nobuki Kajihara (IVIS), Hakaru Tamukoh (kyutech)  VLD2023-75 ICD2023-83 DC2023-82 RECONF2023-78 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | This paper reports on an FPGA implementation of Chaotic Boltzmann Machine Reservoir Computing (CBM-RC). The reservoir will be large-scale, as it is expected to be applied to sensor information prediction for autonomous mobile robots. Therefore, the method is designed with the premise that the weight information is stored in a large memory outside the FPGA. Considering both the characteristics of CBM-RC and the weight matrix of a large-scale reservoir is generally a sparse matrix, an efficient compression method for the weight matrix and a parallel processing system are developed. A CBM-RC with more than 8000 neurons is realized using AMD (Xilinx) Alveo U50 FPGA. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Reservoir computing computing / Chaotic Boltzmann machine / Sparse matrix compression / FPGA / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 123, no. 261, RECONF2023-78, pp. 231-236, Nov. 2023. | |
| Paper # | RECONF2023-78 | |
| Date of Issue | 2023-11-08 (VLD, ICD, DC, 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 | VLD2023-75 ICD2023-83 DC2023-82 RECONF2023-78 |
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| Conference Information | |
| Committee | VLD DC RECONF ICD IPSJ-SLDM |
| Conference Date | 2023-11-15 - 2023-11-17 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Civic Auditorium Sears Home Yume Hall |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Design Gaia 2023 -New Field of VLSI Design- |
| Paper Information | |
| Registration To | RECONF |
| Conference Code | 2023-11-VLD-DC-RECONF-ICD-SLDM |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | High-Level Synthesis Implementation of a Reservoir Computing based on Chaotic Boltzmann Machine |
| Sub Title (in English) | Improving scalability and efficiency of sparse matrix multiplication through a dedicated data compression in external memory |
| Keyword(1) | Reservoir computing computing |
| Keyword(2) | Chaotic Boltzmann machine |
| Keyword(3) | Sparse matrix compression |
| Keyword(4) | FPGA |
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| 1st Author's Name | Shigeki Matsumoto |
| 1st Author's Affiliation | IVIS, Inc. (IVIS) |
| 2nd Author's Name | Yuki Ichikawa |
| 2nd Author's Affiliation | IVIS, Inc. (IVIS) |
| 3rd Author's Name | Nobuki Kajihara |
| 3rd Author's Affiliation | IVIS, Inc. (IVIS) |
| 4th Author's Name | Hakaru Tamukoh |
| 4th Author's Affiliation | Kyushu Institute of Technology (kyutech) |
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| Speaker | Author-1 |
| Date Time | 2023-11-17 15:40:00 |
| Presentation Time | 25 minutes |
| Registration for | RECONF |
| Paper # | VLD2023-75, ICD2023-83, DC2023-82, RECONF2023-78 |
| Volume (vol) | vol.123 |
| Number (no) | no.258(VLD), no.259(ICD), no.260(DC), no.261(RECONF) |
| Page | pp.231-236 |
| #Pages | 6 |
| Date of Issue | 2023-11-08 (VLD, ICD, DC, RECONF) |
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