Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
SANE |
2023-06-30 13:00 |
Kanagawa |
JAXA Sagamihara Campus (Primary: On-site, Secondary: Online) |
Study of implementation of on-board SAR with FPGA Hiroai Asami (Mitsubishi Electric Corp.) |
(To be available after the conference date) [more] |
|
RECONF |
2023-06-09 11:05 |
Kochi |
Eikokuji Campus, Kochi University of Technology (Primary: On-site, Secondary: Online) |
A Study of Quantum Computing-Oriented Large-Scale Memory Computation Directly Connected to NVM Storages: Parallel Implementation and Evaluation of Serial ATA Interface on an FPGA Ryohei Niwase, Hikaru Harasawa, Yoshiki Yamaguchi (Univ. of Tsukuba), Hideharu Amano, Wei Kaijie (Keio Univ.) RECONF2023-9 |
(To be available after the conference date) [more] |
RECONF2023-9 pp.46-51 |
NLP, MSS |
2023-03-16 14:00 |
Nagasaki |
(Primary: On-site, Secondary: Online) |
[Invited Talk]
Social Applications of FPGA and Machine Learning Yuichiro Shibata, Taito Manabe (Nagasaki Univ.) MSS2022-87 NLP2022-132 |
A field programmable gate array (FPGA) is a programmable device that allows users to configure logic circuits at their h... [more] |
MSS2022-87 NLP2022-132 p.121 |
RCC, ISEC, IT, WBS |
2023-03-14 14:15 |
Yamaguchi |
(Primary: On-site, Secondary: Online) |
FPGA implementation of PQC Signature Algorithm QR-UOV using High Level Synthesis Kimihiro Yamakoshi, Tsunekaze Saito (NTT) IT2022-92 ISEC2022-71 WBS2022-89 RCC2022-89 |
QR-UOV has been proposed by Furue et al. as a signature scheme with security tolerance gainst quantum computers. QR-UOV... [more] |
IT2022-92 ISEC2022-71 WBS2022-89 RCC2022-89 pp.149-154 |
HWS, VLD |
2023-03-01 16:25 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Large-scale SAT Solution Search by FPGA Implementation of Attraction-Repulsion Control-Type Amoeba Algorithm Torao Okuyama (Keio Univ.), Masashi Aono, Kaori Okoda (Amoeba Energy), Hideharu Amano (Keio Univ.) VLD2022-82 HWS2022-53 |
(To be available after the conference date) [more] |
VLD2022-82 HWS2022-53 pp.55-60 |
HWS, VLD |
2023-03-03 15:45 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Study of Intrinsic ID extracted from RG-DTM Arbiter PUF implemented on FPGA Mika Sakai, Tatsuya Oyama, Kota Yoshida (Ritsumeikan Univ.), Yohei Hori, Toshihiro Katashita (AIST), Masayoshi Shirahata, Takeshi Fujino (Ritsumeikan Univ.) VLD2022-111 HWS2022-82 |
We studied the implementation method of PUF for generating a unique ID on FPGA. We adopted a method of controlling the p... [more] |
VLD2022-111 HWS2022-82 pp.209-214 |
HWS, VLD |
2023-03-04 10:00 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Importance of Inverters Placement in Ring-Oscilator for Laser Irradiation Detection Shungo Hayashi (YNU), Junichi Sakamoto (AIST/YNU), Masaki Chikano, Tsutomu Matsumoto (YNU) VLD2022-115 HWS2022-86 |
Laser fault injection is known as the most efficient fault injection technique due to its high spatial controllability a... [more] |
VLD2022-115 HWS2022-86 pp.233-238 |
IPSJ-SLDM, RECONF, VLD [detail] |
2023-01-23 10:30 |
Kanagawa |
Raiosha, Hiyoshi Campus, Keio University (Primary: On-site, Secondary: Online) |
Multi-FPGA design environment using Cyberworkbench, a high-level synthesis tool Hiroaki Suzuki (Keio Univ), Wataru Takahashi (NEC), Kazutoshi Wakabayashi (Tokyo Univ), Hideharu Amano (Keio Univ) VLD2022-56 RECONF2022-79 |
Multi-FPGA systems, in which multiple FPGA boards are directly connected via high-speed serial links, are attracting att... [more] |
VLD2022-56 RECONF2022-79 pp.1-6 |
IPSJ-SLDM, RECONF, VLD [detail] |
2023-01-24 11:45 |
Kanagawa |
Raiosha, Hiyoshi Campus, Keio University (Primary: On-site, Secondary: Online) |
Efficient FPGA Implementation of Binarized Neural Networks Based on Generalized Parallel Counter Tree Takahiro Tanigawa, Mugi Noda, Nagisa Ishiura (Kwansei Gakuin Univ.) VLD2022-68 RECONF2022-91 |
Binarized neural networks (BNN) allow compact hardware implementation by binarizing weight values and neuron activations... [more] |
VLD2022-68 RECONF2022-91 pp.50-55 |
DC |
2022-12-16 14:10 |
Yamaguchi |
(Primary: On-site, Secondary: Online) |
Stuck-at Fault Tolerance in DNN Using Outliers and Sampling Tomohiro Ishii, Kazuteru Namba (Chiba Univ.) DC2022-75 |
The development of artificial intelligence and the expansion of big data have led to the implementation of neural networ... [more] |
DC2022-75 pp.17-20 |
VLD, DC, RECONF, ICD, IPSJ-SLDM [detail] |
2022-11-30 15:10 |
Kumamoto |
(Primary: On-site, Secondary: Online) |
FPGA Implementation and Area Evaluation of JTAG Access Mechanism Using Lightweight One-Time Password Authentication Scheme Hisashi Okamoto, Jun Ma, Senling Wang, Hiroshi Kai, Hiroshi Takahashi (Ehime Univ), Akihiro Shimizu (Kochi Univ. of Technology) VLD2022-48 ICD2022-65 DC2022-64 RECONF2022-71 |
When building a cyber-physical system (CPS), it is essential to guarantee the fault tolerance and security of edge devic... [more] |
VLD2022-48 ICD2022-65 DC2022-64 RECONF2022-71 pp.168-173 |
VLD, DC, RECONF, ICD, IPSJ-SLDM [detail] |
2022-11-30 16:15 |
Kumamoto |
(Primary: On-site, Secondary: Online) |
FPGA Implementation of Learned Image Compression Heming Sun (Waseda U), Qingyang Yi (UTokyo), Jiro Katto (Waseda U), Masahiro Fujita (UTokyo) VLD2022-53 ICD2022-70 DC2022-69 RECONF2022-76 |
Learned image compression (LIC) has reached a superior coding gain than traditional hand-crafted standards such as JPEG ... [more] |
VLD2022-53 ICD2022-70 DC2022-69 RECONF2022-76 pp.194-199 |
RECONF |
2022-09-07 14:10 |
Aichi |
emCAMPUS STUDIO (Primary: On-site, Secondary: Online) |
Efficient Learning of Spiking Neural Networks with Genetic Algorithm and its FPGA Acceleration Taiki Watanabe, Yukinori Sato (TUT) RECONF2022-26 |
Spiking Neural Network (SNN) is one of the promising models of neuromorphic architecture. A learning method using a gene... [more] |
RECONF2022-26 pp.1-6 |
CPSY, DC, IPSJ-ARC [detail] |
2022-07-28 13:30 |
Yamaguchi |
Kaikyo Messe Shimonoseki (Primary: On-site, Secondary: Online) |
Preliminary evaluation of "SLMLET" chip with RISC-V MP and SLM reconfigurable logic Yosuke Yanai (Keio Univ.), Takuya Kojima (Tokyo Univ.), Hayate Okuhara (NUS.), Masahiro Iida (Kumamoto Univ.), Hideharu Amano (Keio Univ.) CPSY2022-8 DC2022-8 |
In recent years, processing power in IoT edge devices has been further improved. Therefore, a solution called a mixed FP... [more] |
CPSY2022-8 DC2022-8 pp.41-46 |
EMM, BioX, ISEC, SITE, ICSS, HWS, IPSJ-CSEC, IPSJ-SPT [detail] |
2022-07-19 17:05 |
Online |
Online |
Security Evaluation of Cryptographic Circuits with Laser Sensors by Double-Spot Laser Irradiation Masaki Chikano, Naoki Yoshida, Junichi Sakamoto, Syungo Hayashi, Tsutomu Matsumoto (YNU) ISEC2022-16 SITE2022-20 BioX2022-41 HWS2022-16 ICSS2022-24 EMM2022-24 |
A fault injection attack is an attack method that intentionally injects faults into a device to cause it to malfunction,... [more] |
ISEC2022-16 SITE2022-20 BioX2022-41 HWS2022-16 ICSS2022-24 EMM2022-24 pp.52-57 |
SIS, IPSJ-AVM |
2022-06-09 13:00 |
Fukuoka |
KIT(Wakamatsu Campus) (Primary: On-site, Secondary: Online) |
Hardware Implementation of Annealing Machine using Chaotic Boltzmann Machine Kanta Yoshioka (Kyutech), Ichiro Kawashima, Hakaru Tamukoh (Kyutech/Neumorph Center) SIS2022-1 |
With the end of Moore's law, annealing quantum computers that can solve various combinatorial optimization problems are ... [more] |
SIS2022-1 pp.1-6 |
SIS, IPSJ-AVM |
2022-06-10 13:00 |
Fukuoka |
KIT(Wakamatsu Campus) (Primary: On-site, Secondary: Online) |
[Tutorial Lecture]
How to build a High-Precision and Efficient Robot Vision: Dataset Generation and Hardware Implementation for Deep Learning Hakaru Tamukoh (Kyutech) SIS2022-10 |
This tutorial lecture explains a construction method for high-precision and efficient robot vision that includes a semi-... [more] |
SIS2022-10 pp.45-48 |
RECONF |
2022-06-07 13:50 |
Ibaraki |
CCS, Univ. of Tsukuba (Primary: On-site, Secondary: Online) |
Hardware implementation of the protocol for ROS2 and robot modules without CPU Daiki Matsunaga, Tomoya Shoji, Shozo Takeoka (AXE) RECONF2022-3 |
ROS2 is a set of software libraries and tools for robot applications. It is widely used in robot development. A ROS2 rob... [more] |
RECONF2022-3 pp.13-19 |
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 |
2022-06-08 09:20 |
Ibaraki |
CCS, Univ. of Tsukuba (Primary: On-site, Secondary: Online) |
Investigation of methods to accelerate inference processing by deep learning Seiya Iwamoto, Chikako Nakanishi (OIT) RECONF2022-13 |
AI technologies such as deep learning are generally computationally intensive and have very high performance requirement... [more] |
RECONF2022-13 pp.52-56 |