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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| RECONF, VLD | 2024-01-29 10:55 |
Kanagawa | AIRBIC Meeting Room 1-4 (Primary: On-site, Secondary: Online) |
Suppression of output bit width growth in AFE stochastic computing units Daiki Seto, Naoki Fujieda (Aichi Inst. Tech.)  VLD2023-81 RECONF2023-84 |
Stochastic Computing (SC) is expected to be applied to fields such as image processing and machine learning. Amplitude a... [more] | VLD2023-81 RECONF2023-84 pp.7-12 |
| SCE | 2023-08-08 13:25 |
Kanagawa | Yokohama National Univ. (Primary: On-site, Secondary: Online) |
Design of a superconducting stochastic memory for large-scale stochastic-computing system Wenhui Luo (Yokohama Nat’l Univ.), Naoki Takeuchi (AIST), Olivia Chen (Tokyo City Univ.), Nobuyuki Yoshikawa (Yokohama Nat’l Univ.) SCE2023-7 |
Stochastic computing-based neural networks (SC-NNs) have been developed for energy-efficient neuromorphic computing. In ... [more] | SCE2023-7 pp.34-38 |
| CCS | 2023-03-26 10:55 |
Hokkaido | RUSUTSU RESORT | A Stochastic Memory for Ultralow-Power IoT Devices and its Subthreshold CMOS Circuit Implementation Seiya Muramatsu, Kohei Nishida, Kota Ando (Hokkaido Univ.), Megumi Akai-Kasaya (Osaka Univ./Hokkaido Univ.), Tetsuya Asai (Hokkaido Univ.) CCS2022-68 |
We propose a CMOS circuit implementation of a memory circuit for ultralow-power IoT devices based on stochastic computin... [more] | CCS2022-68 pp.31-35 |
| DC | 2022-12-16 13:50 |
Yamaguchi | (Primary: On-site, Secondary: Online) |
Evaluation of Fault Tolerance in Stochastic Computing Based Neural Network Inference Accelerators Ryoga Nagashima, Stefan Holst, Xiaoqing Wen (Kyutech) DC2022-74 |
In recent years, neural networks have become increasingly complex. Stochastic computing (SC) techniques are currently be... [more] | DC2022-74 pp.12-16 |
| NLP | 2022-11-24 11:35 |
Shiga | (Primary: On-site, Secondary: Online) |
A Study on Stochastic Computing Using Chaotic Binary Sequences Shun-ya Taga, Akio Tsuneda (Kumamoto Univ.) NLP2022-59 |
In stochastic computing (SC)，numerical values are represented by the probability of 1’s in a random bit sequence．In SC，m... [more] | NLP2022-59 pp.13-16 |
| HWS, ICD | 2022-10-25 14:50 |
Shiga | (Primary: On-site, Secondary: Online) |
Design and Prototype Evaluation of Stochastic Encrypted Computing Hardware Yuki Tamura, Rei Ueno, Naofumi Homma (Tohoku Univ.) HWS2022-38 ICD2022-30 |
This paper describes the design and evaluation of Homomorphic Encryption for Stochastic Computing (HESC) hardware.HESC ... [more] |
HWS2022-38 ICD2022-30 pp.46-51 |
| VLD, HWS [detail] | 2022-03-07 11:50 |
Online | Online | An efficient scheme of homomorphic encryption for stochastic computing and its performance evaluation Ryusuke Koseki, Rei Ueno, Akira Ito, Naofumi Homma (Tohoku Univ.) VLD2021-82 HWS2021-59 |
This paper describes how to improve the efficiency of Homomorphic Encryption for Stochastic Computing (HESC) and its per... [more] | VLD2021-82 HWS2021-59 pp.37-42 |
| RECONF, VLD, CPSY, IPSJ-ARC, IPSJ-SLDM [detail] | 2022-01-24 09:30 |
Online | Online | Study on a Correlation Controlling Method to Realize Correlation-used Calculations Sequentially in Stochastic Computing Shu Zhang, Shigeru Yamashita (Ritsumeikan Univ.) VLD2021-49 CPSY2021-18 RECONF2021-57 |
Stochastic Computing (SC) is an approximation calculation method using Stochastic Number (SN), which represents the exis... [more] | VLD2021-49 CPSY2021-18 RECONF2021-57 pp.1-6 |
| VLD, DC, RECONF, ICD, IPSJ-SLDM (Joint) [detail] |
2021-12-01 14:20 |
Online | Online | Triple-Rail Stochastic Number and Its Applications Shoki Kawaminami, Shigeru Yamashita (Ritsumeikan Univ) VLD2021-26 ICD2021-36 DC2021-32 RECONF2021-34 |
In Stochastic Computing (SC), we use bit-strings called stochastic numbers (SNs) to perform calculations in very low-cos... [more] | VLD2021-26 ICD2021-36 DC2021-32 RECONF2021-34 pp.54-59 |
| VLD, DC, RECONF, ICD, IPSJ-SLDM (Joint) [detail] |
2021-12-01 14:45 |
Online | Online | Improving Accuracy of Addition for Stochastic Computing Ichilawa Katsuhiro, Shigeru Yamashita (Ritsumeikan Univ.) VLD2021-27 ICD2021-37 DC2021-33 RECONF2021-35 |
Stochastic Computing (SC) is an approximate computing paradigm to perform calculations by using Stochastic Numbers (SNs)... [more] | VLD2021-27 ICD2021-37 DC2021-33 RECONF2021-35 pp.60-65 |
| IN, CCS (Joint) |
2021-08-05 14:25 |
Online | Online | Digital Implement of 3-layered Neural Networks with Stochastic Activation, Shunting Inhibition, and a Dual-rail Backpropagation Yoshiaki Sasaki, Seiya Muramatsu, Kohei Nishida, Megumi Akai-Kasaya, Tetsuya Asai (Hokkaido Univ.) CCS2021-16 |
Stochastic computing (SC) is an arithmetic technique that enables various operations to be performed with a small number... [more] | CCS2021-16 pp.7-13 |
| SAT, RCS (Joint) |
2020-08-21 10:55 |
Online | Online | [Encouragement Talk]
A Fundamental Study Toward the Software Defined Satellite Shigenori Tani, Yasutaka Yamashita, Michiya Hayama, Masatake Hangai, Hiroshi Aruga (Mitsubishi Electric) SAT2020-20 |
The software defined satellite (SDS) improves frequency utilization to control resources such as time, frequency, and sp... [more] | SAT2020-20 pp.53-57 |
| SITE, ISEC, HWS, EMM, BioX, IPSJ-CSEC, IPSJ-SPT, ICSS [detail] | 2020-07-20 16:35 |
Online | Online | A Study on Construction of Probablistic Homomorphic Encryption Using Stochastic Computing. Ryusuke Koseki, Rei Ueno, Naofumi Homma (Tohoku Univ.) ISEC2020-23 SITE2020-20 BioX2020-26 HWS2020-16 ICSS2020-10 EMM2020-20 |
In this paper, we describe a construct and evaluation of probabilistic homomorphic encryption (PHE)scheme. PHE is const... [more] | ISEC2020-23 SITE2020-20 BioX2020-26 HWS2020-16 ICSS2020-10 EMM2020-20 pp.61-67 |
| IPSJ-SLDM, RECONF, VLD, CPSY, IPSJ-ARC [detail] | 2020-01-24 13:55 |
Kanagawa | Raiosha, Hiyoshi Campus, Keio University | Edge detection algorithms using stochastic architectures for various images Naoto Shinozaki, Kimiyoshi Usami (SIT) VLD2019-87 CPSY2019-85 RECONF2019-77 |
Stochastic computing (SC) is an approximate calculation method with the existence probability of 1 in a bit string as a ... [more] | VLD2019-87 CPSY2019-85 RECONF2019-77 pp.199-204 |
| NLP, MSS (Joint) |
2019-03-14 13:20 |
Fukui | Bunkyo Camp., Univ. of Fukui | An Analytical Method of Computing Electron Trajectories on Waveguides by the Superposition of Single-Mode Wave Propagation Shota Hayakawa, Hisato Fujisaka, Takeshi Kamio (Hiroshima City Univ.) NLP2018-125 |
In this paper, we obtain analytically behaviors of electron wave packets and probabilistic particle model of electrons o... [more] | NLP2018-125 pp.7-12 |
| VLD, DC, CPSY, RECONF, CPM, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC (Joint) [detail] |
2018-12-05 11:00 |
Hiroshima | Satellite Campus Hiroshima | [Keynote Address]
Challenge of Post CMOS Circuit Technologies for AI Hardware Takahiro Hanyu (Tohoku Univ.) |
Recently, it is impartant that the impact of artificial intelligence (AI) is being widely understood in several applicat... [more] | |
| VLD, DC, CPSY, RECONF, CPM, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC (Joint) [detail] |
2018-12-06 09:00 |
Hiroshima | Satellite Campus Hiroshima | Stochastic Number Generation Considering Trade-off between Error and Overhead Yudai Sakamoto, Shigeru Yamashita (Ritsumeikan Univ.) VLD2018-47 DC2018-33 |
Stochastic Computing (SC) is an approximation calculation method using stochastic numbers (SNs) which represent the rati... [more] | VLD2018-47 DC2018-33 pp.65-70 |
| VLD, DC, CPSY, RECONF, CPM, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC (Joint) [detail] |
2018-12-07 14:35 |
Hiroshima | Satellite Campus Hiroshima | An Efficient Multiplier Employing Time-Encoded Stochastic Computing Circuit Tati Erlina, Renyuan Zhang, Yasuhiko Nakashima (NAIST) CPSY2018-41 |
A compact multiplier circuit is designed by time-encoded stochastic computing technology. The operands of multiplication... [more] | CPSY2018-41 pp.47-52 |
| CAS, SIP, MSS, VLD | 2018-06-14 16:35 |
Hokkaido | Hokkaido Univ. (Frontier Research in Applied Sciences Build.) | Area Efficient Multiply-Accumulate Circuit Using Stochastic Computing for Neural Network Hardware Kenta Nagura, Masayuki Hiromoto, Takashi Sato (Kyoto Univ) CAS2018-15 VLD2018-18 SIP2018-35 MSS2018-15 |
Neural network, which is an accurate and general-purpose machine learning method, is attracting greater attention in rec... [more] | CAS2018-15 VLD2018-18 SIP2018-35 MSS2018-15 pp.81-86 |
| VLD, DC, CPSY, RECONF, CPM, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC (Joint) [detail] |
2017-11-07 10:30 |
Kumamoto | Kumamoto-Kenminkouryukan Parea | Stochastic Number Generation with Internal Signals of Peripheral Logic Circuits Naoya Kubota, Maki Fujiha, Hideyuki Ichihara, Tsuyoshi Iwagaki, Tomoo Inoue (Hiroshima City Univ.) VLD2017-47 DC2017-53 |
Stochastic computing (SC), which is an approximate computation with probabilities, has attracted at- tention because it ... [more] | VLD2017-47 DC2017-53 pp.115-120 |
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