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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| VLD, IPSJ-SLDM | 2019-05-15 14:20 |
Tokyo | Ookayama Campus, Tokyo Institute of Technology | Approximate Computing Technique Using Memoization and Simplified Multiplication Yoshinori Ono, Kimiyoshi Usami (SIT)  VLD2019-2 |
In embedded systems, approximate computing can strongly promote reduction of execution time and energy consumption in ex... [more] | VLD2019-2 pp.13-18 |
| CPSY, DC, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC [detail] | 2019-03-17 17:45 |
Kagoshima | Nishinoomote City Hall (Tanega-shima) | CPSY2018-110 DC2018-92 |
(To be available after the conference date) [more] | CPSY2018-110 DC2018-92 pp.193-198 |
| DC | 2019-02-27 15:10 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | State Encoding with Stochastic Numbers for Transient Fault Tolerant Linear Finite State Machines Yuki Maeda, Hideyuki Ichihara, Tsuyoshi Iwagaki, Tomoo Inoue (Hiroshima City Univ.) DC2018-81 |
Stochastic Computing (SC) has attractive characteristics, compared with deterministic (or general binary) computing, suc... [more] | DC2018-81 pp.61-66 |
| 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 |
| VLD, HWS (Joint) |
2018-03-02 09:50 |
Okinawa | Okinawa Seinen Kaikan | Approximate computing based on extension of DRAM refresh interval and data correction Takamasa Fukasawa, Kimiyoshi Usami (SIT) VLD2017-121 |
As DRAM capacity increases, there is concern that energy consumption will increase due to the refresh. Therefore, we pro... [more] | VLD2017-121 pp.193-198 |
| VLD, DC, CPSY, RECONF, CPM, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC (Joint) [detail] |
2017-11-06 11:20 |
Kumamoto | Kumamoto-Kenminkouryukan Parea | Considerations of Inside Structures for Approximate Multipliers Masahiro Inoue, Kaori Tajima, Hiroyuki Baba, Tongxin Yang, Tomoaki Ukezono, Toshinori Sato (Fukuoka Univ.) VLD2017-29 DC2017-35 |
Approximate arithmetic circuits are logic circuits which do not generate accurate arithmetic results.Approximate arithme... [more] | VLD2017-29 DC2017-35 pp.13-18 |
| VLD, DC, CPSY, RECONF, CPM, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC (Joint) [detail] |
2017-11-07 10:55 |
Kumamoto | Kumamoto-Kenminkouryukan Parea | Stochastic logic circuit using static constant as coefficient without random number generator Masashi Tawada, Masao Yanagisawa, Nozomu Togawa (Waseda Univ.) VLD2017-48 DC2017-54 |
(To be available after the conference date) [more] | VLD2017-48 DC2017-54 pp.121-124 |
| SIP, CAS, MSS, VLD | 2017-06-19 11:20 |
Niigata | Niigata University, Ikarashi Campus | An Optimization Method for Automotive Engine Control Parameters Using Gradient Methods Shogo Masuda, Shinobu Nagayama, Masato Inagi, Shin'ichi Wakabayashi (Hiroshima City Univ.) CAS2017-6 VLD2017-9 SIP2017-30 MSS2017-6 |
In this study, we address a problem to obtain optimum control parameters by computing an inverse image of the target out... [more] | CAS2017-6 VLD2017-9 SIP2017-30 MSS2017-6 pp.31-36 |
| SIP, CAS, MSS, VLD | 2017-06-20 15:30 |
Niigata | Niigata University, Ikarashi Campus | Evaluation of Trade-off between Performance and Area in a Variable Latency Arithmetic Circuit Yuta Ukon, Shimpei Sato, Atsushi Takahashi (Tokyo Inst. of Tech.) CAS2017-23 VLD2017-26 SIP2017-47 MSS2017-23 |
There are a lot of high load processing that is not required high accuracy at the data center. An approximate computing ... [more] | CAS2017-23 VLD2017-26 SIP2017-47 MSS2017-23 pp.119-124 |
| VLD | 2017-03-01 15:30 |
Okinawa | Okinawa Seinen Kaikan | High accuracy 8*8 approximate multiplier based on OR operation Yi Guo, Heming Sun, Canran Jin, Shinji Kimura (Waseda Univ.) VLD2016-105 |
Approximate computing is a promising approach for error-tolerate applications. Multipliers contribute more area and dela... [more] | VLD2016-105 pp.19-24 |
| VLD | 2017-03-01 15:55 |
Okinawa | Okinawa Seinen Kaikan | A Design Technique for Approximate Circuits based on Artificial Neural Network Kazushi Kawamura, Masao Yanagisawa, Nozomu Togawa (Waseda Univ.) VLD2016-106 |
This paper proposes a design technique for approximate circuits based on artificial neural network, and then evaluates t... [more] | VLD2016-106 pp.25-30 |
| VLD | 2017-03-03 13:50 |
Okinawa | Okinawa Seinen Kaikan | Architecture of Multiply-Accumulate Operation with Stochastic Iteration Tatsuyoshi Sugino, Hideyuki Ichihara, Tsuyoshi Iwagaki, Tomoo Inoue (Hiroshima City Univ.) VLD2016-130 |
Stochastic computing, which is an approximate computation method with probabilities (called stochastic numbers), draws a... [more] | VLD2016-130 pp.157-162 |
| CPSY, RECONF, VLD, IPSJ-SLDM, IPSJ-ARC [detail] | 2017-01-25 09:25 |
Kanagawa | Hiyoshi Campus, Keio Univ. | Investigation of the influence of input sequences on the calculation accuracy in an approximate operation using a typical circuit Shimpei Sato, Yuta Ukon, Atsushi Takahashi (Tokyo TECH) VLD2016-95 CPSY2016-131 RECONF2016-76 |
When variable latency for digital circuits are assumed, circuits can work with a small clock period that has the possib... [more] |
VLD2016-95 CPSY2016-131 RECONF2016-76 pp.165-170 |
| DC | 2016-06-20 13:50 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | On State Assignment of Finite State Machines for Soft Error Resilient Stochastic Computing Motoi Fukuda, Hideyuki Ichihara, Tsuyoshi Iwagaki, Tomoo Inoue (Hiroshima City Univ.) DC2016-11 |
Stochastic computing (SC), which is an approximate computation with probabilities, has attracted at- tention owing to it... [more] | DC2016-11 pp.7-12 |
| CPSY, DC, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC (Joint) [detail] |
2016-03-25 09:30 |
Nagasaki | Fukue Bunka Hall/Rodou Fukushi Center | Blah Blah Blah Michihiro Koibuchi (NII), Daichi Fujiki (Keio U), Kiyo Ishii (AIST), Ikki Fujiwara (NII), Hiroki Matsutani, Hideharu Amano (Keio U) CPSY2015-147 DC2015-101 |
(To be available after the conference date) [more] | CPSY2015-147 DC2015-101 pp.157-162 |
| VLD | 2015-03-04 13:50 |
Okinawa | Okinawa Seinen Kaikan | Implementation and evaluation of architecture using lookup table for approximate computing Shoichiro Sugiyama, tanvir ahmed, Yuko Hara-Azumi (Titech) VLD2014-183 |
Various techniques have been proposed for improving the computation performance so far, where correct computations have ... [more] | VLD2014-183 pp.171-176 |
| CPSY, DC (Joint) |
2014-07-30 09:25 |
Niigata | Toki Messe, Niigata | Instruction Execution Method towards Error Reduction of Neural Network Processing Kazuma Koike, Shinya Takamaeda-Yamazaki, Jun Yao, Yasuhiko Nakashima (NAIST) CPSY2014-33 |
Approximate Computing has attracted attention as a method for reducing power consumption in varies applications, such as... [more] | CPSY2014-33 pp.137-142 |
| DE | 2008-09-21 14:45 |
Fukushima | [Invited Talk]
Approximate Queries on String Collections Xiaochun Yang, Bin Wang (Northeastern Univ., China), Chen Li (UC Irvine) DE2008-31 |
Approximate queries on a collection of strings are important in many applications such as record linkage, spell checking... [more] | DE2008-31 pp.3-4 |
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