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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 38  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
VLD, HWS, ICD 2024-03-01
10:50
Okinawa
(Primary: On-site, Secondary: Online)
Pseudo-random Number Generator Design Robust against Fault Injection Attacks
Sota Kado, Mingyu Yang, Yuko Hara (Tokyo Tech) VLD2023-123 HWS2023-83 ICD2023-112
Fault Injection Attacks (FIA) using physical methods are a significant threat for embedded devices to process various ap... [more] VLD2023-123 HWS2023-83 ICD2023-112
pp.125-130
VLD, DC, RECONF, ICD, IPSJ-SLDM [detail] 2023-11-16
13:45
Kumamoto Civic Auditorium Sears Home Yume Hall
(Primary: On-site, Secondary: Online)
VLD2023-50 ICD2023-58 DC2023-57 RECONF2023-53 In stochastic computing, which is a computational method with probabilities, various one-input functions, such as absolu... [more] VLD2023-50 ICD2023-58 DC2023-57 RECONF2023-53
pp.106-111
VLD, DC, RECONF, ICD, IPSJ-SLDM [detail] 2023-11-16
16:20
Kumamoto Civic Auditorium Sears Home Yume Hall
(Primary: On-site, Secondary: Online)
On Reducing Area Overhead of BIST for Approximate Multiplier Considering Truncated Bits
Daichi Akamatsu, Shougo Tokai, Hiroyuki Yotsuyanagi, Masaki Hashizume (Tokushima Univ.) VLD2023-60 ICD2023-68 DC2023-67 RECONF2023-63
Recently, approximate computing has attracted attention as a method to reduce power and area for error-tolerant applicat... [more] VLD2023-60 ICD2023-68 DC2023-67 RECONF2023-63
pp.156-161
SCE 2023-08-08
14:50
Kanagawa Yokohama National Univ.
(Primary: On-site, Secondary: Online)
Majority-Logic-Based Approximate Adders Using Adiabatic Quantum-Flux-Parametron
Mengmeng Wang (Yokohama National Univ.), Olivia Chen (Tokyo City Univ.), Nobuyuki Yoshikawa (Yokohama National Univ.) SCE2023-10
In this study, we propose several 2-bit approximate adders with different architectures, primarily utilizing five-input ... [more] SCE2023-10
pp.49-52
MRIS, ITE-MMS 2023-06-08
14:20
Miyagi Tohoku Univ. (RIEC)
(Primary: On-site, Secondary: Online)
[Invited Talk] Computing in pursuit of energy efficiency -- From the perspective of non-volatile memory circuits using MTJ --
Kimiyoshi Usami (Shibaura IT) MRIS2023-3
From AlphaGo which defeated a professional human GO player up to automatic driving of cars and the very recent ChatGPT, ... [more] MRIS2023-3
pp.13-20
VLD, DC, RECONF, ICD, IPSJ-SLDM [detail] 2022-11-28
15:00
Kumamoto  
(Primary: On-site, Secondary: Online)
On reduction of test patterns for a Multiplier Using Approximate Computing
Shogo Tokai, Daichi Akamatsu, Hiroyuki Yotsuyanagi, Masaki Hashizume (Tokushima Univ) VLD2022-23 ICD2022-40 DC2022-39 RECONF2022-46
In recent years, approximate computing has been used in error-tolerant applications. Several approximation methods have ... [more] VLD2022-23 ICD2022-40 DC2022-39 RECONF2022-46
pp.25-30
VLD, HWS [detail] 2022-03-07
10:00
Online Online A Heuristic Scheduling Algorithm with Variable-Cycle Approximate Operations in High-Level Synthesis
Koyu Ohata, Hiroki Nishikawa, Xiangbo Kong, Hiroyuki Tomiyama (Ritsumeikan Univ.) VLD2021-78 HWS2021-55
This paper studies a scheduling algorithm for high-level synthesis that takes into account the difference in delay betwe... [more] VLD2021-78 HWS2021-55
pp.13-18
VLD, HWS [detail] 2022-03-07
13:15
Online Online [Memorial Lecture] An Accuracy Reconfigurable Vector Accelerator based on Approximate Logarithmic Multipliers
Lingxiao Hou, Yutaka Masuda, Tohru Ishihara (Nagoya Univ.) VLD2021-83 HWS2021-60
The logarithmic approximate multiplier proposed by Mitchell provides an efficient alternative to accurate multipliers in... [more] VLD2021-83 HWS2021-60
p.43
VLD, HWS [detail] 2022-03-07
14:30
Online Online MTJ-based non-volatile SRAM circuit with Approximate Image-data Storing for energy saving
Hisato Miyauchi, Kimiyoshi Usami (SIT) VLD2021-86 HWS2021-63
Non-volatile memory (NVM) using magnetic tunnel junction (MTJ) devices can prevent the increase in leakage current, whic... [more] VLD2021-86 HWS2021-63
pp.51-56
HWS, VLD [detail] 2021-03-03
10:00
Online Online Energy Efficient Approximate Storing to MRAM for Deep Neural Network Tasks in Edge Computing
Yoshinori Ono, Kimiyoshi Usami (SIT) VLD2020-67 HWS2020-42
On-chip learning is gaining attention in edge devices. In addition, a magnetic RAM (MRAM) is a promising memory technolo... [more] VLD2020-67 HWS2020-42
pp.1-6
HWS, VLD [detail] 2021-03-03
10:25
Online Online Evaluation on Approximate Multiplier for CNN Calculation
Yuechuan Zhang, Masahiro Fujita, Takashi Matsumoto (UTokyo) VLD2020-68 HWS2020-43
Improving the accuracy of a convolutional neural network (CNN) typically requires larger hardware with more energy consu... [more] VLD2020-68 HWS2020-43
pp.7-12
HWS, VLD [detail] 2021-03-04
09:55
Online Online High-level synthesis of approximate circuits with two-level accuracies
Kenta Shirane, Hiroki Nishikawa, Xiangbo Kong, Hiroyuki Tomiyama (Ritumeikan Univ.) VLD2020-80 HWS2020-55
This paper studies high-level synthesis (HLS) of approximate computing circuits with multiple accuracy levels. This work... [more] VLD2020-80 HWS2020-55
pp.67-72
IE 2021-01-21
13:25
Online Online [Invited Talk] High-Performance Computing for Image Processing
Norishige Fukushima (NITech) IE2020-35
As cameras become higher resolution, the demand for high-performance image processing continues to increase.
In this ... [more]
IE2020-35
p.7
VLD, DC, RECONF, ICD, IPSJ-SLDM
(Joint) [detail]
2020-11-18
14:25
Online Online Energy Efficient Approximate Storing of Image Data for Non-volatile Memory
Yoshinori Ono, Kimiyoshi Usami (SIT) VLD2020-38 ICD2020-58 DC2020-58 RECONF2020-57
A non-volatile memory (NVM) employing MTJ has a lot of strong points. However, it consumes a lot of energy when writing ... [more] VLD2020-38 ICD2020-58 DC2020-58 RECONF2020-57
pp.145-150
HWS, VLD [detail] 2020-03-05
16:00
Okinawa Okinawa Ken Seinen Kaikan
(Cancelled but technical report was issued)
Approximate Floating Point Multiplier based on Shifting Addition Using Carry Signal from Second-Highest-Bit
Jie Li, Yi Guo, Shinji Kimura (Waseda Univ.) VLD2019-120 HWS2019-93
Approximate computing (AC) sacrifices accuracy for better hardware performance since it relaxes the requirement of exact... [more] VLD2019-120 HWS2019-93
pp.151-156
HWS, VLD [detail] 2020-03-05
16:25
Okinawa Okinawa Ken Seinen Kaikan
(Cancelled but technical report was issued)
Image edge detection using Latest Results based Approximate Computing
Hajime Ochi, Kimiyoshi Usami (SIT) VLD2019-121 HWS2019-94
Approximate Computing (AC) is an energy reduction technique with approximate calculation. In the field of image processi... [more] VLD2019-121 HWS2019-94
pp.157-162
HWS, VLD [detail] 2020-03-06
10:55
Okinawa Okinawa Ken Seinen Kaikan
(Cancelled but technical report was issued)
VLD2019-126 HWS2019-99 (To be available after the conference date) [more] VLD2019-126 HWS2019-99
pp.185-190
PN 2019-11-15
11:05
Kanagawa   [Invited Talk] Emerging Studies in Computer Memory Systems
Takahiro Hirofuchi (AIST) PN2019-28
This paper presents emerging studies in computer memory systems. The advent of new non-volatile memory devices, such as ... [more] PN2019-28
pp.29-35
R 2019-07-26
14:00
Iwate Ichinoseki Cultural Center Limit theorem of a connected-(r,s)-out-of-(m,n):F lattice system
Koki Yamada, Taishin Nakamura, Hisashi Yamamoto, Lei Zhou, Xiao Xiao (Tokyo Met. Univ.) R2019-14
In previous studies, several methods for computing the reliability of a connected-(r,s)-out-of-(m,n):F lattice system ha... [more] R2019-14
pp.1-6
CPSY, DC, IPSJ-ARC [detail] 2019-07-25
16:05
Hokkaido Kitami Civic Hall CPSY2019-29 DC2019-29 (To be available after the conference date) [more] CPSY2019-29 DC2019-29
pp.153-157
 Results 1 - 20 of 38  /  [Next]  
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