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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| RECONF | 2022-09-08 09:45 |
Aichi | emCAMPUS STUDIO (Primary: On-site, Secondary: Online) |
FPGA implementation of small area sum-of-products arithmetic unit for Posit and consideration of its introduction into AI chip ReNA Yasuhiro Nakahara, Yuta Masuda, Masato Kiyama, Masahiro Iida (Kumamoto Univ.)  RECONF2022-33 |
[more] | RECONF2022-33 pp.23-28 |
| RECONF | 2022-09-08 10:10 |
Aichi | emCAMPUS STUDIO (Primary: On-site, Secondary: Online) |
Proposal and evaluation of Combined Posit MAC unit (CPMAC) for both DNN inference and training Yuta Masuda, Yasuhiro Nakahara, Masato Kiyama, Masahiro Iida (Kumamoto Univ.) RECONF2022-34 |
Recently, there has been a lot of research on DNN hardware accelerators for the edge that use Posit as a number represen... [more] | RECONF2022-34 pp.29-34 |
| RECONF | 2022-06-07 16:45 |
Ibaraki | CCS, Univ. of Tsukuba (Primary: On-site, Secondary: Online) |
Preliminary Evaluation of FPGA-to-FPGA Communication Speed in FPGA Cluster ESSPER Rintaro Sakai, Yasuhiro Nakahara (Kumamoto Univ. /R-CSS), Kentaro Sano (R-CCS), Masahiro Iida (Kumamoto Univ. /R-CSS) RECONF2022-11 |
This study evaluates the communication speed between FPGAs assuming the FPGA cluster ESSPER is a scalable and flexible ... [more] |
RECONF2022-11 pp.48-49 |
| RECONF, VLD, CPSY, IPSJ-ARC, IPSJ-SLDM [detail] | 2022-01-24 16:45 |
Online | Online | A study of an accelerator for CNN inference on FPGA clusters Rintaro Sakai (Kumamoto Univ. /R-CSS), Yasuhiro Nakahara (Kumamoto Univ. /R-CCS), Kentaro Sano (R-CCS), Masahiro Iida (Kumamoto Univ. /R-CCS) VLD2021-60 CPSY2021-29 RECONF2021-68 |
In this study, we propose a CNN accelerator for FPGA clusters, which accelerates the CNN inference process by distributi... [more] | VLD2021-60 CPSY2021-29 RECONF2021-68 pp.61-66 |
| VLD, DC, RECONF, ICD, IPSJ-SLDM (Joint) [detail] |
2021-12-01 10:35 |
Online | Online | Basic evaluation of ReNA, a DNN accelerator using numerical representation posit Yasuhiro Nakahara, Yuta Masuda, Masato Kiyama, Motoki Amagasaki, Masahiro Iida (Kumamoto Univ.) VLD2021-24 ICD2021-34 DC2021-30 RECONF2021-32 |
In Convolutional Neural Network (CNN) accelerators for edge, numerical precision of data should be reduced as much as po... [more] | VLD2021-24 ICD2021-34 DC2021-30 RECONF2021-32 pp.43-48 |
| RECONF | 2021-06-08 16:10 |
Online | Online | Automatic generation of executable code for ReNA Yuta Masuda, Yasuhiro Nakahara, Motoki Amagasaki, Masahiro Iida (Kumamoto Univ.) RECONF2021-6 |
We have been developing ReNA as a CNN accelerator for the edge, which is controlled by directly specifying control signa... [more] | RECONF2021-6 pp.26-31 |
| HWS, VLD [detail] | 2021-03-03 11:15 |
Online | Online | The Design and Development of of Quantized Neural Networks Library for Exact Hardware Emulation Masato Kiyama, Yasuhiro Nakahara, Motoki Amagasaki, Masahiro Iida (Kumamoto Univ.) VLD2020-70 HWS2020-45 |
Quantization is used to speed up execution time and save power when runnning Deep neural networks (DNNs) on edge devices... [more] | VLD2020-70 HWS2020-45 pp.18-23 |
| VLD, DC, RECONF, ICD, IPSJ-SLDM (Joint) [detail] |
2020-11-17 10:45 |
Online | Online | Implementation of YOLO in the AI accelerator ReNA Toma Uemura, Yasuhiro Nakahara, Motoki Amagasaki, Masato Kiyama, Masahiro Iida (Kumamoto Univ.) VLD2020-22 ICD2020-42 DC2020-42 RECONF2020-41 |
The object detection，which is a typical AI process，has been attracting attention in various fields because it can identi... [more] | VLD2020-22 ICD2020-42 DC2020-42 RECONF2020-41 pp.66-71 |
| VLD, DC, CPSY, RECONF, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC (Joint) [detail] |
2019-11-14 10:05 |
Ehime | Ehime Prefecture Gender Equality Center | DNN accelerator for AI edge computing Yasuhiro Nakahara, Juntaro Chikama, Motoki Amagasaki (Kumamoto Univ.), Zhao Qian (Kyutech), Masahiro Iida (Kumamoto Univ.) RECONF2019-38 |
Convolutional Neural Network (CNN), a kind of artificial intelligence for image recognition, is used in various fields ... [more] |
RECONF2019-38 pp.15-20 |
| RECONF | 2019-09-20 14:00 |
Fukuoka | KITAKYUSHU Convention Center | Quantized Neural Networks Library for Exact Hardware Emulation Masato Kiyama, Yasuhiro Nakahara, Motoki Amagasaki, Masahiro Iida (Kumamoto Univ.) RECONF2019-33 |
Deep neural networks (DNNs) have recently shown outstanding performance in many application domains. However, it is dif... [more] |
RECONF2019-33 pp.69-74 |
| RECONF | 2018-05-24 14:30 |
Tokyo | GATE CITY OHSAKI | Visibility study of CNN implementation using High Speed Serial Optical Interconnection Juntaro Chikama, Yasuhiro Nakahara, Motoki Amagasaki, Morihiro Kuga, Msahiro Iida, Toshinori Sueyoshi (Kumamoto Univ.) RECONF2018-7 |
In this research, we realize a low power consumption and scalable system by implementing CNN on multi FPGA system.To sol... [more] | RECONF2018-7 pp.33-38 |
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