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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 11 of 11  /   
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.)
 [more]
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.)
 [more]
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
 Results 1 - 11 of 11  /   
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