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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| DC, CPSY, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC [detail] | 2024-03-21 10:15 |
Nagasaki | Ikinoshima Hall (Primary: On-site, Secondary: Online) |
Proposal for processor development support through commonized input/output interface Hiromu Ogaki, Kanemitsu Otsu, Takashi Yokota (Utsunomiya Univ.)  CPSY2023-40 DC2023-106 |
With the use of FPGAs, even individuals can freely develop processors, and various forms of processors are expected to b... [more] | CPSY2023-40 DC2023-106 pp.12-17 |
| SS | 2024-03-08 09:55 |
Okinawa | (Primary: On-site, Secondary: Online) |
SS2023-64 |
Dockerfile development projects usually support various base images, architectures, or versions of services. Depending o... [more] | SS2023-64 pp.91-96 |
| VLD, DC, RECONF, ICD, IPSJ-SLDM [detail] | 2023-11-15 14:40 |
Kumamoto | Civic Auditorium Sears Home Yume Hall (Primary: On-site, Secondary: Online) |
A 183.4 nJ/inference 152.8 µW Single-Chip Wired-Logic DNN Processor for Always-On 35 Voice Commands Recognition Application Rei Sumikawa, Atsutake Kosuge, Mototsugu Hamada, Tadahiro Kuroda (UTokyo) VLD2023-39 ICD2023-47 DC2023-46 RECONF2023-42 |
A 183.4-nJ/inference single-chip wired-logic DNN processor that is capable of recognizing all 35 commands defined in the... [more] | VLD2023-39 ICD2023-47 DC2023-46 RECONF2023-42 pp.54-59 |
| RECONF | 2023-09-15 13:25 |
Tokyo | Tokyo University of Agriculture and Technology Koganei campus (Primary: On-site, Secondary: Online) |
Implementation and Evaluation of a Hardware Accelerator via Vector Register Sharing Mechanism for Massive Data Transfer Michiya Kato, Tomoaki Tanaka (TUAT), Kiyofumi Tanaka (JAIST), Yasunori Osana (Kumamoto Univ.), Takefumi MIyoshi (Wasarabo LLC), Jubee Tada (Yamagata Univ.), Hironori Nakajo (TUAT) RECONF2023-29 |
Vector Register Sharing Mechanism is a method of data transfer by connecting some of the vector registers in the vector ... [more] | RECONF2023-29 pp.40-45 |
| RECONF | 2023-08-04 15:35 |
Hokkaido | Hakodate Arena (Primary: On-site, Secondary: Online) |
Improving Data Transfer Efficiency in Many-Core Systems with a RISC-V ISA Extension Masaru Nishimura, Yuxi Tan, Yoshiki Yamaguchi (Tsukuba Univ.) RECONF2023-16 |
The difficulty of balancing usability and efficient use of PEs and insufficient memory bandwidth are major issues for ma... [more] | RECONF2023-16 pp.13-18 |
| ICD | 2023-04-10 09:55 |
Kanagawa | (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Nonvolatile Storage Cells Using FiCC for IoT Processors with Intermittent Operations Yuki Abe, Kazutoshi Kobayashi (KIT), Jun Shiomi (Osaka Univ.), Hiroyuki Ochi (Ritsumeikan Univ.) ICD2023-1 |
Energy harvesting is a key technology to supply power for Internet of Things (IoT) devices. Computing devices for IoTs m... [more] | ICD2023-1 pp.1-6 |
| SS | 2023-03-14 16:05 |
Okinawa | (Primary: On-site, Secondary: Online) |
SS2022-55 |
(To be available after the conference date) [more] | SS2022-55 pp.49-54 |
| PN | 2023-03-02 11:40 |
Okinawa | (Primary: On-site, Secondary: Online) |
Distributed DDoS Protection Method in the Core Network with Reconfigurable Device Edge Coordination Tomoki Naoi, Masaki Murakami, Yoshihiko Uematsu, Satoru Okamoto, Naoaki Yamanaka (Keidai) PN2022-58 |
Distributed Denial-of-Service (DDoS) attacks are a growing problem today, and it is difficult for individual users to mi... [more] | PN2022-58 pp.83-89 |
| IPSJ-SLDM, RECONF, VLD [detail] | 2023-01-23 16:10 |
Kanagawa | Raiosha, Hiyoshi Campus, Keio University (Primary: On-site, Secondary: Online) |
VLD2022-61 RECONF2022-84 |
(To be available after the conference date) [more] | VLD2022-61 RECONF2022-84 pp.25-26 |
| VLD, DC, RECONF, ICD, IPSJ-SLDM [detail] | 2022-11-29 15:05 |
Kumamoto | (Primary: On-site, Secondary: Online) |
Evaluation of power delivery networks in secure semiconductor systems Masaru Mashiba, Kazuki Monta (Kobe Univ.), Takaaki Okidono (SCU), Takuzi Miki, Makoto Nagata (Kobe Univ.) VLD2022-33 ICD2022-50 DC2022-49 RECONF2022-56 |
With the development of the IoT, hardware security is becoming increasingly important. Physical attacks on cryptoprocess... [more] | VLD2022-33 ICD2022-50 DC2022-49 RECONF2022-56 pp.82-86 |
| NS, IN (Joint) |
2022-03-11 10:10 |
Online | Online | Threshold Correction of Multi-Job Rejection Rate Optimal Control Method of MEC for Real Environment Application Hajime Yuda, Yoshiaki Kitaguchi, Katsunori Yamaoka (Tokyo Tech) IN2021-39 |
In MEC, there is a possibility that the processing time will increase or the blocking rate of jobs in the edge server wi... [more] | IN2021-39 pp.49-54 |
| CPSY, DC, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC [detail] | 2022-03-11 14:10 |
Online | Online | Imprecise Mixed Criticality Scheduling for SMT Processor Reo Nagura, Nobuyuki Yamasaki (Keio Univ.) CPSY2021-63 DC2021-97 |
Recently, in the field of real-time scheduling, scheduling methods for mixed-criticality (MC) systems, in which tasks of... [more] | CPSY2021-63 DC2021-97 pp.109-114 |
| VLD, HWS [detail] | 2022-03-07 14:05 |
Online | Online | Measurement Results of Nonvolatile Flip-Flops Using FiCC for IoT Processors with Intermittent Operations Yuki Abe, Kazutoshi Kobayashi (KIT), Hiroyuki Ochi (Ritsumeikan Univ.) VLD2021-85 HWS2021-62 |
In recent years, with the spread of the Internet of Things (IoT) and mobile devices, low power consumption of processors... [more] | VLD2021-85 HWS2021-62 pp.45-50 |
| RECONF, VLD, CPSY, IPSJ-ARC, IPSJ-SLDM [detail] | 2022-01-24 14:50 |
Online | Online | Implementation of a RISC-V SMT Core in Virtual Engine Architecture Hidetaro Tanaka, Tomoaki Tanaka, Keita Nagaoka, Ryosuke Higashi (TUAT), Tsutomu Sekibe, Shuichi Takada (ArchiTek), Hironori Nakajo (TUAT) VLD2021-57 CPSY2021-26 RECONF2021-65 |
The RISC-V core which supports simultaneous multithreading (SMT) on a heterogeneous virtual engine architecture has been... [more] | VLD2021-57 CPSY2021-26 RECONF2021-65 pp.43-48 |
| SS, MSS | 2022-01-12 10:05 |
Nagasaki | Nagasakiken-Kensetsu-Sogo-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Multitask Scheduling for Reducing Total Memory Consumption while Satisfying Deadlines using Adaptive Control according to Dynamic Change of Task Memory Consumption Ryosuke Arai, Akio Nakata (Hiroshima City Univ) MSS2021-48 SS2021-35 |
The authors have previously proposed a multi-task scheduling method LMCLF, which can reduce the total memory usage of th... [more] | MSS2021-48 SS2021-35 pp.95-99 |
| SDM, ICD, ITE-IST [detail] | 2021-08-18 13:00 |
Online | Online | [Invited Talk]
A 12nm autonomous driving processor running 60.4 TOPS and 13.8 TOPS/W CNNs with task-separated ASIL D control Katsushige Matsubara, Lieske Hanno (Renesas Electronics), Motoki Kimura (Renesas Electronics Europe), Atsushi Nakamura, Manabu Koike, Kazuaki Terashima, Shun Morikawa, Yoshihiko Hotta, Takahiro Irita, Seiji Mochizuki, Hiroyuki Hamasaki, Tatsuya Kamei (Renesas Electronics) SDM2021-39 ICD2021-10 |
Next-generation driver assistance systems and automated driving systems require both high performances to realize enormo... [more] | SDM2021-39 ICD2021-10 pp.48-53 |
| EST | 2021-05-20 13:00 |
Online | Online | A Study on Preprocessor Development for Electromagnetic Field Simulation Yusuke Kusama, Kazuki Saito (Toyo Univ.) EST2021-1 |
In electromagnetic field simulation, a graphic input GUI that confirms and verifies the calculation conditions at the mo... [more] | EST2021-1 pp.1-6 |
| CPSY, DC, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC [detail] | 2021-03-25 11:40 |
Online | Online | Scheduling algorithms for sporadic and periodic tasks in multiprocessors Yuki Mori, Nobuyuki Yamasaki (Keio Univ.) CPSY2020-54 DC2020-84 |
Among embedded systems that are embedded in devices to ealize specific functions, systems that need to meet time onstra... [more] | CPSY2020-54 DC2020-84 pp.25-30 |
| CPSY, DC, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC [detail] | 2021-03-25 14:40 |
Online | Online | Parallelization and Vectorization of SpMM for Sparse Neural Network Yuta Tadokoro, Keiji Kimura, Hironori Kasahara (Waseda Univ.) CPSY2020-55 DC2020-85 |
Pruning is one of the well-known model compression techniques in Deep Learning. Eliminating less important weights in th... [more] | CPSY2020-55 DC2020-85 pp.31-36 |
| IN, NS (Joint) |
2021-03-04 10:40 |
Online | Online | An Optimal Control Method for Multi-Job Rejection Rate in MEC Hajime Yuda, Yoshiaki Kitaguchi, Katsunori Yamaoka (Tokyo Tech) IN2020-66 |
In MEC, there is a possibility that the processing time will increase or the blocking rate of jobs in the edge server wi... [more] | IN2020-66 pp.73-78 |
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