JP7676383B2 - シミュレーションの計算コストの推定のための方法およびシステム - Google Patents
シミュレーションの計算コストの推定のための方法およびシステム Download PDFInfo
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- JP7676383B2 JP7676383B2 JP2022526232A JP2022526232A JP7676383B2 JP 7676383 B2 JP7676383 B2 JP 7676383B2 JP 2022526232 A JP2022526232 A JP 2022526232A JP 2022526232 A JP2022526232 A JP 2022526232A JP 7676383 B2 JP7676383 B2 JP 7676383B2
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/27—Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
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- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/0464—Convolutional networks [CNN, ConvNet]
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/048—Activation functions
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
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- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/09—Supervised learning
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- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/01—Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2111/00—Details relating to CAD techniques
- G06F2111/10—Numerical modelling
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/23—Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]
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Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201962931299P | 2019-11-06 | 2019-11-06 | |
| US62/931,299 | 2019-11-06 | ||
| PCT/US2020/059393 WO2021092366A1 (en) | 2019-11-06 | 2020-11-06 | Methods and systems for the estimation of the computational cost of simulation |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2022553866A JP2022553866A (ja) | 2022-12-26 |
| JP2022553866A5 JP2022553866A5 (https=) | 2023-11-14 |
| JP7676383B2 true JP7676383B2 (ja) | 2025-05-14 |
Family
ID=75687743
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2022526232A Active JP7676383B2 (ja) | 2019-11-06 | 2020-11-06 | シミュレーションの計算コストの推定のための方法およびシステム |
Country Status (9)
| Country | Link |
|---|---|
| US (1) | US12400055B2 (https=) |
| EP (1) | EP4055512A4 (https=) |
| JP (1) | JP7676383B2 (https=) |
| KR (1) | KR20220103739A (https=) |
| CN (1) | CN114930336A (https=) |
| AU (1) | AU2020378413A1 (https=) |
| BR (1) | BR112022008851A2 (https=) |
| CA (1) | CA3157588A1 (https=) |
| WO (1) | WO2021092366A1 (https=) |
Families Citing this family (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11922314B1 (en) * | 2018-11-30 | 2024-03-05 | Ansys, Inc. | Systems and methods for building dynamic reduced order physical models |
| US11409516B2 (en) | 2019-12-10 | 2022-08-09 | Cisco Technology, Inc. | Predicting the impact of network software upgrades on machine learning model performance |
| US11210138B1 (en) | 2020-09-24 | 2021-12-28 | OnScale, Inc. | Dynamic resource allocation for computational simulation |
| US12488256B2 (en) * | 2021-07-01 | 2025-12-02 | Rolls-Royce Corporation | Predictive modeling for forged components |
| KR102779656B1 (ko) * | 2021-09-02 | 2025-03-12 | 주식회사 아미크 | 선별된 목적 데이터를 활용하여 효과적으로 클라우드 시스템을 구축하는 방법 및 시스템 |
| EP4427162A4 (en) * | 2021-11-01 | 2025-09-17 | Univ Michigan Regents | AUTOMATED CIRCUIT TOPOLOGY SELECTION AND CONFIGURATION |
| US20250308645A1 (en) * | 2022-05-08 | 2025-10-02 | Schlumberger Technology Corporation | Adaptive multicolor reordering simulation system |
| CN114925633B (zh) * | 2022-06-14 | 2024-10-18 | 中国航空工业集团公司沈阳空气动力研究所 | 应用气动特性评估n-s方程求解分层式程序处理方法 |
| EP4506847A1 (de) * | 2023-08-08 | 2025-02-12 | Siemens Aktiengesellschaft | Verfahren zum bestimmen einer simulationsfähigkeit eines simulationsmodells mittels einer elektronischen recheneinrichtung, computerprogrammprodukt, computerlesbares speichermedium sowie elektronische recheneinrichtung |
| KR102624263B1 (ko) * | 2023-09-15 | 2024-01-16 | 광주과학기술원 | 무선충전모듈의 코어 설계하는 방법 |
| CN117634101B (zh) * | 2024-01-26 | 2024-06-25 | 杭州广立微电子股份有限公司 | 芯片表面形态确定方法、装置、计算机设备和存储介质 |
| TR2024002432A1 (tr) * | 2024-02-29 | 2025-09-22 | Univ Istanbul Teknik | Büyük parça ve cad modeli̇ni̇n bi̇lgi̇sayar destekli̇ mühendi̇sli̇k (cae) ve bi̇lgi̇sayarli tomografi̇ (bt) kullanilarak alt bölümlendi̇rme yöntemi̇ |
| CN119783488B (zh) * | 2025-03-13 | 2025-07-11 | 苏州数算软云科技有限公司 | 一种锻压仿真方法及相关装置 |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2012194910A (ja) | 2011-03-17 | 2012-10-11 | Fujitsu Ltd | メッシュ数予測方法、解析装置及びプログラム |
| WO2016151677A1 (ja) | 2015-03-20 | 2016-09-29 | 株式会社日立製作所 | 解析支援装置及び解析支援方法並びに解析のメッシュ支援プログラム |
| JP2017162098A (ja) | 2016-03-08 | 2017-09-14 | 富士通株式会社 | 学習方法、情報処理装置および学習プログラム |
| WO2018031792A1 (en) | 2016-08-11 | 2018-02-15 | Rescale, Inc. | Dynamic optimization of simulation resources |
Family Cites Families (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090089234A1 (en) | 2007-09-28 | 2009-04-02 | Rockwell Automation Technologies, Inc. | Automated code generation for simulators |
| US8346516B2 (en) * | 2008-11-05 | 2013-01-01 | Accenture Global Services Limited | Predictive modeling |
| JP5327451B2 (ja) * | 2009-02-27 | 2013-10-30 | 日本電気株式会社 | 実システムメモリ使用量概算方法及び装置 |
| US9152740B1 (en) * | 2012-01-18 | 2015-10-06 | Msc.Software Corporation | Interactive simulation and solver for mechanical, fluid, and electro-mechanical systems |
| US8744825B2 (en) * | 2012-02-13 | 2014-06-03 | Livermore Software Technology Corp. | Element refinement methods and systems in arbitrary lagrangian-eulerian (ALE) based finite element analysis |
| EP2894564A1 (en) * | 2014-01-10 | 2015-07-15 | Fujitsu Limited | Job scheduling based on historical job data |
| JP6375066B2 (ja) * | 2015-08-25 | 2018-08-15 | 株式会社日立製作所 | 解析支援システム及び解析支援方法 |
| WO2017077609A1 (ja) * | 2015-11-04 | 2017-05-11 | 富士通株式会社 | 構造解析方法、及び構造解析プログラム |
| US20180247193A1 (en) | 2017-02-24 | 2018-08-30 | Xtract Technologies Inc. | Neural network training using compressed inputs |
| US11132473B2 (en) * | 2017-08-30 | 2021-09-28 | Apriori Technologies, Inc. | Manufacturing design modification system |
| US20210019189A1 (en) * | 2018-04-18 | 2021-01-21 | Landmark Graphics Corporation | Methods and systems to determine and optimize reservoir simulator performance in a cloud computing environment |
| JP2021534522A (ja) | 2018-08-10 | 2021-12-09 | オンスケール,インコーポレイテッド | 有限要素解析のためのハイブリッドメッシュ化方法 |
| CN109918796A (zh) * | 2019-03-11 | 2019-06-21 | 上海索辰信息科技有限公司 | 一种多学科协同仿真系统及方法 |
-
2020
- 2020-11-06 EP EP20884086.8A patent/EP4055512A4/en active Pending
- 2020-11-06 US US17/091,505 patent/US12400055B2/en active Active
- 2020-11-06 BR BR112022008851A patent/BR112022008851A2/pt unknown
- 2020-11-06 CN CN202080092143.3A patent/CN114930336A/zh active Pending
- 2020-11-06 AU AU2020378413A patent/AU2020378413A1/en not_active Abandoned
- 2020-11-06 CA CA3157588A patent/CA3157588A1/en active Pending
- 2020-11-06 WO PCT/US2020/059393 patent/WO2021092366A1/en not_active Ceased
- 2020-11-06 KR KR1020227018956A patent/KR20220103739A/ko active Pending
- 2020-11-06 JP JP2022526232A patent/JP7676383B2/ja active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2012194910A (ja) | 2011-03-17 | 2012-10-11 | Fujitsu Ltd | メッシュ数予測方法、解析装置及びプログラム |
| WO2016151677A1 (ja) | 2015-03-20 | 2016-09-29 | 株式会社日立製作所 | 解析支援装置及び解析支援方法並びに解析のメッシュ支援プログラム |
| JP2017162098A (ja) | 2016-03-08 | 2017-09-14 | 富士通株式会社 | 学習方法、情報処理装置および学習プログラム |
| WO2018031792A1 (en) | 2016-08-11 | 2018-02-15 | Rescale, Inc. | Dynamic optimization of simulation resources |
Non-Patent Citations (1)
| Title |
|---|
| FARRUKH NADEEM et al.,Using Machine Learning Ensemble Methods to Predict Execution Time of e-Science Workflows in Heterogeneous Distributed Systems,IEEE Access,IEEE,2019年02月19日,Vol. 7,pages 25138-25149,DOI: 10.1109/ACCESS.2019.2899985 |
Also Published As
| Publication number | Publication date |
|---|---|
| JP2022553866A (ja) | 2022-12-26 |
| CA3157588A1 (en) | 2021-05-14 |
| BR112022008851A2 (pt) | 2022-08-23 |
| KR20220103739A (ko) | 2022-07-22 |
| EP4055512A1 (en) | 2022-09-14 |
| WO2021092366A1 (en) | 2021-05-14 |
| US12400055B2 (en) | 2025-08-26 |
| CN114930336A (zh) | 2022-08-19 |
| AU2020378413A1 (en) | 2022-06-23 |
| EP4055512A4 (en) | 2023-11-22 |
| US20210133378A1 (en) | 2021-05-06 |
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