Relevant bibliographies by topics / Co-design optimization

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Co-design optimization'

Author: Grafiati
Published: 3 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Co-design optimization"

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Meng, Debiao, Xiaoling Zhang, Hong-Zhong Huang, Zhonglai Wang, and Huanwei Xu. "Interaction Prediction Optimization in Multidisciplinary Design Optimization Problems." Scientific World Journal 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/698453.

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The distributed strategy of Collaborative Optimization (CO) is suitable for large-scale engineering systems. However, it is hard for CO to converge when there is a high level coupled dimension. Furthermore, the discipline objectives cannot be considered in each discipline optimization problem. In this paper, one large-scale systems control strategy, the interaction prediction method (IPM), is introduced to enhance CO. IPM is utilized for controlling subsystems and coordinating the produce process in large-scale systems originally. We combine the strategy of IPM with CO and propose the Interact
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Gu, Xiaoyu, John E. Renaud, Leah M. Ashe, Stephen M. Batill, Amrjit S. Budhiraja, and Lee J. Krajewski. "Decision-Based Collaborative Optimization." Journal of Mechanical Design 124, no. 1 (2000): 1–13. http://dx.doi.org/10.1115/1.1432991.

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In this research a Collaborative Optimization (CO) approach for multidisciplinary systems design is used to develop a decision based design framework for non-deterministic optimization. To date CO strategies have been developed for use in application to deterministic systems design problems. In this research the decision based design (DBD) framework proposed by Hazelrigg [1,2] is modified for use in a collaborative optimization framework. The Hazelrigg framework as originally proposed provides a single level optimization strategy that combines engineering decisions with business decisions in a
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Suemitsu, Issei, Takayuki Yamada, Kazuhiro Izui, Shinji Nishiwaki, Akio Noda, and Tatsuya Nagatani. "CO-JP-7 A Layout Design Optimization Method for Multi-robot Assembly Systems." Proceedings of Mechanical Engineering Congress, Japan 2012 (2012): _CO—JP—7–1—_CO—JP—7–9. http://dx.doi.org/10.1299/jsmemecj.2012._co-jp-7-1.

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Tae Hee Lee, Su-gil Cho, Minuk Lee, Jong-Su Choi, and Sup Hong. "CO-KR-5 Multidisciplinary Robust Design Optimization for a Deep-sea Test Miner." Proceedings of Mechanical Engineering Congress, Japan 2012 (2012): _CO—KR—5–1—_CO—KR—5–1. http://dx.doi.org/10.1299/jsmemecj.2012._co-kr-5-1.

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Zhang, Jun, and Bing Zhang. "Performance Measure Approach Based Multidisciplinary Design Optimization of Gear Transmission." Advanced Materials Research 694-697 (May 2013): 868–71. http://dx.doi.org/10.4028/www.scientific.net/amr.694-697.868.

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In order to reduce the influence of uncertainties on complicated engineering systems performance, a new method is proposed based on the performance measure approach and collaborative optimization (PMA-CO) to implement the reliability-based multidisciplinary design optimization of gear transmission. Both the mathematical model and procedures of PMA-CO are presented. With the adoption of slack factors in the system-level of collaborative optimization, both CO and PMA-CO are applied to the optimization of gear transmission. The proposed PMA-CO improves the reliability of the gear transmission and
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GAO, ZHENXIAO, TIANYUAN XIAO, and WENHUI FAN. "COLLABORATIVE OPTIMIZATION WITH DIMENSION REDUCTION." International Journal of Modeling, Simulation, and Scientific Computing 01, no. 02 (2010): 179–98. http://dx.doi.org/10.1142/s1793962310000134.

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Collaborative optimization (CO) method is widely used in solving multidisciplinary design optimization (MDO) problems, yet its computation requirement has been an obstacle to the applications, leading to doubts about CO's convergence property. The feasible domain of CO problem is first examined and it is proven that feasible domain remains the same during the CO formulation. So is the same with extreme points. Then based on contemporary research conclusion that the system-level optimization problem suffers from inherent computational difficulties, it is further pointed out that the employment
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Oliva, Diego G., Javier A. Francesconi, Miguel C. Mussati, and Pio A. Aguirre. "CO-PrOx reactor design by model-based optimization." Journal of Power Sources 182, no. 1 (2008): 307–16. http://dx.doi.org/10.1016/j.jpowsour.2008.03.043.

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Tappeta, R. V., and J. E. Renaud. "Multiobjective Collaborative Optimization." Journal of Mechanical Design 119, no. 3 (1997): 403–11. http://dx.doi.org/10.1115/1.2826362.

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This investigation focuses on the development of modifications to the Collaborative Optimization (CO) approach to multidisciplinary systems design, that will provide solution capabilities for multiobjective problems. The primary goal of this paper is to provide a comprehensive overview and development of mathematically rigorous optimization strategies for Multiobjective Collaborative Optimization (MOCO). Collaborative Optimization strategies provide design optimization capabilities to discipline designers within a multidisciplinary design environment. To date these CO strategies have primarily
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S, Hemalatha, Yalini R, Arun Prasath M.M., and Sunil Kumar Yadav. "DESIGN AND OPTIMIZATION OF HARDWARE-SOFTWARE CO-DESIGN FOR REAL-TIME EMBEDDED SYSTEMS." ICTACT Journal on Microelectronics 9, no. 2 (2023): 1545–50. https://doi.org/10.21917/ijme.2023.0269.

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In recent years, quantum cell automata (QCA) has emerged as a promising optimization technique for real-time embedded systems design. QCA leverages quantum computing principles to perform parallel and coherent computations, enabling efficient exploration of vast solution spaces. This paper explores the application of QCA in the hardware-software co-design of real-time embedded systems, aiming to achieve enhanced performance, reduced power consumption, and improved reliability. The study investigates the partitioning of tasks between hardware and software, the design of hardware accelerators, a
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Song, Xueguan, Tianci Zhang, Yongliang Yuan, Xiaobang Wang, and Wei Sun. "Multidisciplinary co-design optimization of the structure and control systems for large cable shovel considering cross-disciplinary interaction." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 234, no. 22 (2020): 4353–65. http://dx.doi.org/10.1177/0954406220924464.

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Large cable shovel is a complex mechatronic system used for primary production in the open pit mine. For such structure-control highly coupled system, the conventional sequential design strategy (structure design followed by the control optimization in sequence) cannot manage this interaction adequately and explicitly. In addition, the large cable shovel consists of large number of sub-systems and/or disciplines, which also poses challenges to the global optimal design for large cable shovel. To enhance large cable shovel’s performance, an integrated design optimization strategy combining the
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Dissertations / Theses on the topic "Co-design optimization"

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Russell, Jared S. "An optimization approach to plant-controller co-design /." Online version of thesis, 2009. http://hdl.handle.net/1850/10769.

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O'Connor, R. Brendan. "Dataflow Analysis and Optimization of High Level Language Code for Hardware-Software Co-Design." Thesis, Virginia Tech, 1996. http://hdl.handle.net/10919/36653.

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Recent advancements in FPGA technology have provided devices which are not only suited for digital logic prototyping, but also are capable of implementing complex computations. The use of these devices in multi-FPGA Custom Computing Machines (CCMs) has provided the potential to execute large sections of programs entirely in custom hardware which can provide a substantial speedup over execution in a general-purpose sequential processor. Unfortunately, the development tools currently available for CCMs do not allow users to easily configure multi-FPGA platforms. In order to exploit the capabilit
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Sherbaf, Behtash Mohammad. "A Decomposition-based Multidisciplinary Dynamic System Design Optimization Algorithm for Large-Scale Dynamic System Co-Design." University of Cincinnati / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1535468984437623.

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Nakka, Sai Krishna Sumanth. "Co-design of Hybrid-Electric Propulsion System for Aircraft using Simultaneous Multidisciplinary Dynamic System Design Optimization." University of Cincinnati / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1602153187738909.

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Zhang, Yuanzhi. "Algorithms and Hardware Co-Design of HEVC Intra Encoders." OpenSIUC, 2019. https://opensiuc.lib.siu.edu/dissertations/1769.

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Digital video is becoming extremely important nowadays and its importance has greatly increased in the last two decades. Due to the rapid development of information and communication technologies, the demand for Ultra-High Definition (UHD) video applications is becoming stronger. However, the most prevalent video compression standard H.264/AVC released in 2003 is inefficient when it comes to UHD videos. The increasing desire for superior compression efficiency to H.264/AVC leads to the standardization of High Efficiency Video Coding (HEVC). Compared with the H.264/AVC standard, HEVC offers a d
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Fadini, Gabriele. "Un cadre générique de co-conception pour l'optimisation du design et de la commande des robots." Electronic Thesis or Diss., Toulouse 3, 2023. http://www.theses.fr/2023TOU30216.

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L'équipe Gepetto du LAAS a récemment développé deux prototypes de robots quadrupèdes en collaboration avec le Max Plank Institute (MPI) de Tübingen en Allemagne. Ces robots sont équipés de moteurs sans balais miniatures, contrôlés vectoriellement, associés à des réducteurs faibles. Combinés, ces deux choix techniques permettent d'obtenir un actionnement réversible, idéal pour implémenter des lois de commande en force et capable de produire des densités de couples élevées. Grâce à cette technologie, ces robots légers permettent de produire des mouvements hautement dynamiques, tels que le saut o
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Berthelon, Rémy. "Strain integration and performance optimization in sub-20nm FDSOI CMOS technology." Thesis, Toulouse 3, 2018. http://www.theses.fr/2018TOU30066/document.

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La technologie CMOS à base de Silicium complètement déserté sur isolant (FDSOI) est considérée comme une option privilégiée pour les applications à faible consommation telles que les applications mobiles ou les objets connectés. Elle doit cela à son architecture garantissant un excellent comportement électrostatique des transistors ainsi qu'à l'intégration de canaux contraints améliorant la mobilité des porteurs. Ce travail de thèse explore des solutions innovantes en FDSOI pour nœuds 20nm et en deçà, comprenant l'ingénierie de la contrainte mécanique à travers des études sur les matériaux, le
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Mattii, Luca [Verfasser], Mladen [Akademischer Betreuer] Berekovic, and Harald [Akademischer Betreuer] Michalik. "Design technology co-optimization for below N7 technology nodes / Luca Mattii ; Akademische Betreuer: Mladen Berekovic, Harald Michalik." Lübeck : Zentrale Hochschulbibliothek Lübeck, 2021. http://d-nb.info/1227543611/34.

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Pan, Chenyun. "A hierarchical optimization engine for nanoelectronic systems using emerging device and interconnect technologies." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53931.

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A fast and efficient hierarchical optimization engine was developed to benchmark and optimize various emerging device and interconnect technologies and system-level innovations at the early design stage. As the semiconductor industry approaches sub-20nm technology nodes, both devices and interconnects are facing severe physical challenges. Many novel device and interconnect concepts and system integration techniques are proposed in the past decade to reinforce or even replace the conventional Si CMOS technology and Cu interconnects. To efficiently benchmark and optimize these emerging technolo
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Shee, Seng Lin Computer Science &amp Engineering Faculty of Engineering UNSW. "ADAPT : architectural and design exploration for application specific instruction-set processor technologies." Awarded by:University of New South Wales, 2007. http://handle.unsw.edu.au/1959.4/35404.

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This thesis presents design automation methodologies for extensible processor platforms in application specific domains. The work presents first a single processor approach for customization; a methodology that can rapidly create different processor configurations by the removal of unused instructions sets from the architecture. A profile directed approach is used to identify frequently used instructions and to eliminate unused opcodes from the available instruction pool. A coprocessor approach is next explored to create an SoC (System-on-Chip) to speedup the application while reducing energy
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Books on the topic "Co-design optimization"

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Tabbara, Bassam, Abdallah Tabbara, and Alberto Sangiovanni-Vincentelli. Function/Architecture Optimization and Co-Design of Embedded Systems. Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4359-6.

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Tabbara, Bassam. Function/Architecture Optimization and Co-Design of Embedded Systems. Springer US, 2000.

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1969-, Tabbara Abdallah, and Sangiovanni-Vincentelli Alberto, eds. Function/architecture optimization and co-design of embedded systems. Kluwer Academic Publishers, 2000.

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Liu, Hsiao-Hsuan, and Francky Catthoor. Circuit-Technology Co-Optimization of SRAM Design in Advanced CMOS Nodes. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-76109-6.

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Liebmann, Lars W. Design technology co-optimization in the era of sub-resolution IC scaling. SPIE, 2016.

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Luo, Yan, Krishnendu Chakrabarty, and Tsung-Yi Ho. Hardware/Software Co-Design and Optimization for Cyberphysical Integration in Digital Microfluidic Biochips. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-09006-1.

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Capodieci, Luigi. Design-Process-Technology Co-Optimization for Manufacturability XI. SPIE, 2018.

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Capodieci, Luigi. Design-Process-Technology Co-Optimization for Manufacturability X. SPIE, 2016.

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Sturtevant, John L. Design-Process-Technology Co-Optimization for Manufacturability VIII. SPIE, 2014.

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Sturtevant, John L. Design-Process-Technology Co-Optimization for Manufacturability IX. SPIE, 2015.

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Book chapters on the topic "Co-design optimization"

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Liao, Stan, Srinivas Devadas, Kurt Keutzer, et al. "Code Generation and Optimization Techniques for Embedded Digital Signal Processors." In Hardware/Software Co-Design. Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-009-0187-2_7.

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Morshed, Bashir I. "Optimization of ES." In Embedded Systems – A Hardware-Software Co-Design Approach. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66808-2_7.

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Tabbara, Bassam, Abdallah Tabbara, and Alberto Sangiovanni-Vincentelli. "Function / Architecture Optimization and Co-Design Flow." In Function/Architecture Optimization and Co-Design of Embedded Systems. Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4359-6_8.

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Sturtevant, John, and Luigi Capodieci. "Design for Manufacturing and Design Process Technology Co-Optimization." In Microlithography. CRC Press, 2020. http://dx.doi.org/10.1201/9781315117171-6.

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Chang, Jui-Ming, and Massoud Pedram. "Co-Design of Communicating Systems." In Power Optimization and Synthesis at Behavioral and System Levels Using Formal Methods. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5199-7_5.

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Jain, Vikram, and Marian Verhelst. "Hardware–Software Co-optimization Through Design Space Exploration." In Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-38230-7_4.

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Lv, Chen, Yang Xing, Junzhi Zhang, and Dongpu Cao. "Co-Design Optimization for Cyber-Physical Vehicle System." In Cyber-Physical Vehicle Systems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-031-01504-5_2.

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Azad, Saeed, Mohammad Behtash, Arian Houshmand, and Michael Alexander-Ramos. "Comprehensive PHEV Powertrain Co-design Performance Studies Using MDSDO." In Advances in Structural and Multidisciplinary Optimization. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67988-4_6.

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Tabbara, Bassam, Abdallah Tabbara, and Alberto Sangiovanni-Vincentelli. "Design Representation." In Function/Architecture Optimization and Co-Design of Embedded Systems. Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4359-6_3.

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Tabbara, Bassam, Abdallah Tabbara, and Alberto Sangiovanni-Vincentelli. "Function Optimizations." In Function/Architecture Optimization and Co-Design of Embedded Systems. Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4359-6_4.

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Conference papers on the topic "Co-design optimization"

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Gai, Tianyang, Tong Qu, Xiaojing Su, et al. "Multi-level layout hotspot detection based on multi-classification with deep learning." In Design-Technology Co-optimization XV, edited by Chi-Min Yuan and Ryoung-Han Kim. SPIE, 2021. http://dx.doi.org/10.1117/12.2583726.

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Chi, Cheng, Julian Dolby, Jeff Shearer, Derren Dunn, and Sean Burns. "Speeding up OPC by leveraging existing designs with machine learning." In Design-Technology Co-optimization XV, edited by Chi-Min Yuan and Ryoung-Han Kim. SPIE, 2021. http://dx.doi.org/10.1117/12.2584621.

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Pal, Ashish, Plamen Asenov, El Mehdi Bazizi, et al. "Extending materials to systems co-optimizationTM (MSCOTM) modeling to memory array simulation." In Design-Technology Co-optimization XV, edited by Chi-Min Yuan and Ryoung-Han Kim. SPIE, 2021. http://dx.doi.org/10.1117/12.2583923.

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Wang, Lynn T. N., Michael Simcoe, Vikas Mehrotra, et al. "Electrical design-for-manufacturability (DFM) checks for reducing layout-induced circuit variability for analog designs." In Design-Technology Co-optimization XV, edited by Chi-Min Yuan and Ryoung-Han Kim. SPIE, 2021. http://dx.doi.org/10.1117/12.2583839.

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Oak, Apoorva, Soobin Hwang, Ruoxia Chen, Shinill Kang, and Ryan Ryoung-Han Kim. "Machine learning based recursive partitioning for simplifying OPC model building complexity." In Design-Technology Co-optimization XV, edited by Chi-Min Yuan and Ryoung-Han Kim. SPIE, 2021. http://dx.doi.org/10.1117/12.2584704.

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Hooker, Kevin, Lena Zavyalova, Shuo Huang, and Li-Jin Chen. "Using machine learning etch models in OPC and ILT correction." In Design-Technology Co-optimization XV, edited by Chi-Min Yuan and Ryoung-Han Kim. SPIE, 2021. http://dx.doi.org/10.1117/12.2587225.

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Schroeder, Uwe Paul, Janam Bakshi, and David Villarreal. "Machine-learning assisted fast critical area analysis." In Design-Technology Co-optimization XV, edited by Chi-Min Yuan and Ryoung-Han Kim. SPIE, 2021. http://dx.doi.org/10.1117/12.2582844.

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Su, Xiaojing, Lisong Dong, Yayi Wei, Tianyang Gai, Yajuan Su, and Rui Chen. "Source mask optimization based on design pattern library at 7nm technology node." In Design-Technology Co-optimization XV, edited by Chi-Min Yuan and Ryoung-Han Kim. SPIE, 2021. http://dx.doi.org/10.1117/12.2584716.

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Zhang, Yu, Shirui Yu, Jiaqi Liu, et al. "Pattern-centric yield management approach with machine learning to detect and track defects with full chip coverage." In Design-Technology Co-optimization XV, edited by Chi-Min Yuan and Ryoung-Han Kim. SPIE, 2021. http://dx.doi.org/10.1117/12.2583454.

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Berkens, Maarten, and Simon J. Klaver. "Analysis of row to row routing in double height standard-cells." In Design-Technology Co-optimization XV, edited by Chi-Min Yuan and Ryoung-Han Kim. SPIE, 2021. http://dx.doi.org/10.1117/12.2587213.

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Reports on the topic "Co-design optimization"

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Djidjev, Hristo Nikolov. GPGPU-Accelerated Combinatorial and Graph Optimization Using Co-Design Technique. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1188166.

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