Добірка наукової літератури з теми "Core kernel operations"
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Статті в журналах з теми "Core kernel operations"
Nadim, Mohammad, Wonjun Lee, and David Akopian. "Characteristic Features of the Kernel-level Rootkit for Learning-based Detection Model Training." Electronic Imaging 2021, no. 3 (June 18, 2021): 34–1. http://dx.doi.org/10.2352/issn.2470-1173.2021.3.mobmu-034.
Повний текст джерелаGE, MING, and YANGSHENG XU. "KERNEL-BASED DATA COMPRESSION FOR ADVANCED MANUFACTURING SYSTEM." Journal of Advanced Manufacturing Systems 02, no. 01 (June 2003): 89–104. http://dx.doi.org/10.1142/s021968670300023x.
Повний текст джерелаDriessen, T., S. Muto, and M. Nakayama. "A cooperative game of information trading: The core, the nucleolus and the kernel." ZOR Zeitschrift für Operations Research Methods and Models of Operations Research 36, no. 1 (January 1992): 55–72. http://dx.doi.org/10.1007/bf01541032.
Повний текст джерелаSavran, I., M. Demirci, and A. H. Yılmaz. "Accelerating Shor’s factorization algorithm on GPUs." Canadian Journal of Physics 96, no. 7 (July 2018): 759–61. http://dx.doi.org/10.1139/cjp-2017-0768.
Повний текст джерелаChiang, Mei-Ling, and Wei-Lun Su. "Thread-Aware Mechanism to Enhance Inter-Node Load Balancing for Multithreaded Applications on NUMA Systems." Applied Sciences 11, no. 14 (July 14, 2021): 6486. http://dx.doi.org/10.3390/app11146486.
Повний текст джерелаPing, Yuan, Bin Hao, Xiali Hei, Jie Wu, and Baocang Wang. "Maximized Privacy-Preserving Outsourcing on Support Vector Clustering." Electronics 9, no. 1 (January 17, 2020): 178. http://dx.doi.org/10.3390/electronics9010178.
Повний текст джерелаPolievoda, Yurii. "INVESTIGATION OF THE PROCESS OF CHIPPING OF THE WALNUT SHELL AS A RESULT OF THE FORCE ACTION OF HEMISPHERICAL SURFACES." Vibrations in engineering and technology, no. 3(98) (October 30, 2020): 111–19. http://dx.doi.org/10.37128/2306-8744-2020-3-12.
Повний текст джерелаBlanchfield, Paul J., Lori S. Tate, and Cheryl L. Podemski. "Survival and behaviour of rainbow trout (Oncorhynchus mykiss) released from an experimental aquaculture operationThis paper is part of the series “Forty Years of Aquatic Research at the Experimental Lakes Area”." Canadian Journal of Fisheries and Aquatic Sciences 66, no. 11 (November 2009): 1976–88. http://dx.doi.org/10.1139/f09-127.
Повний текст джерелаGe, Fen, Ning Wu, Hao Xiao, Yuanyuan Zhang, and Fang Zhou. "Compact Convolutional Neural Network Accelerator for IoT Endpoint SoC." Electronics 8, no. 5 (May 5, 2019): 497. http://dx.doi.org/10.3390/electronics8050497.
Повний текст джерелаMERRILL, DUANE, and ANDREW GRIMSHAW. "HIGH PERFORMANCE AND SCALABLE RADIX SORTING: A CASE STUDY OF IMPLEMENTING DYNAMIC PARALLELISM FOR GPU COMPUTING." Parallel Processing Letters 21, no. 02 (June 2011): 245–72. http://dx.doi.org/10.1142/s0129626411000187.
Повний текст джерелаДисертації з теми "Core kernel operations"
He, Haifeng. "Memory Footprint Reduction of Operating System Kernels." Diss., The University of Arizona, 2009. http://hdl.handle.net/10150/196010.
Повний текст джерелаPaolillo, Antonio. "Optimisation of Performance Metrics of Embedded Hard Real-Time Systems using Software/Hardware Parallelism." Doctoral thesis, Universite Libre de Bruxelles, 2018. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/277427.
Повний текст джерелаOptimisation de Métriques de Performances de Systèmes Embarqués Temps Réel Durs par utilisation du Parallélisme Logiciel et Matériel. De nos jours, les systèmes embarqués font partie intégrante de notre quotidien.Certains de ces systèmes, appelés systèmes critiques, sont soumis à de fortes contraintes de fiabilité et de robustesse.De plus, des contraintes de coûts, d’autonomie et de performances s’additionnent à la fiabilité.Enfin, ces systèmes doivent très souvent respecter des délais très stricts de façon prédictible.Lorsque ces différentes contraintes sont combinées dans le cahier de charge d’un produit, les techniques classiques de conception consistant à utiliser un seul cœur d’un processeur ne suffisent plus.La recherche académique dans le domaine des systèmes embarqués temps réel a produit de nombreuses techniques pour exploiter les plate-formes modernes.Ces techniques sont souvent basées sur l’exploitation du parallélisme inhérent au matériel pour améliorer les performances du système et la puissance dissipée par la plate-forme.Cependant, peu de systèmes existant sur le marché exploitent ces techniques de la littérature et peu de ces techniques ont été validées dans le cadre d’expériences pratiques.Dans cette thèse, nous réalisons l’étude des techniques, au niveau du système d’exploitation, permettant l’exploitation du parallélisme matériel par l’implémentation de logiciels parallèles afin de maximiser les performances et réduire l’impact sur l’énergie consommée tout en satisfaisant les contraintes temporelles strictes du cahier de charge applicatif. Nous détaillons les fondements théoriques des idées qui sont appliquées dans la dissertation et nous les validons par des travaux expérimentaux.A ces fins, nous utilisons le nouveau noyau d’un système d’exploitation écrit dans le cadre de la création d’une spin-off de l’Université libre de Bruxelles.Nos expériences, basées sur l’exécution d’applications sur le système d’exploitation qui s’exécute lui-même sur une plate-forme embarquée réelle, montre que l’utilisation de techniques d’ordonnancement exploitant le parallélisme matériel et logiciel permet de larges économies d’énergie consommée lors de l’exécution d’applications embarquées.De futurs travaux en cours de réalisation sont présentés.Ceux-ci exploitent des plate-formes innovantes qui combinent processeurs multi-cœurs et matériel reconfigurable, permettant d’aller encore plus loin dans l’amélioration des performances et les gains énergétiques.
Doctorat en Sciences
info:eu-repo/semantics/nonPublished
Aloui, Nadia. "Localisation sonore par retournement temporel." Thesis, Grenoble, 2014. http://www.theses.fr/2014GRENT079/document.
Повний текст джерелаThe objective of this PhD is to propose a location solution that should be simple and robust to multipath that characterizes the indoor environments. First, a location system that exploits the time domain of channel parameters has been proposed. The system adopts the time of arrival of the path of maximum amplitude as a signature and estimates the target position through nonparametric kernel regression. The system was evaluated in experiments for two main configurations: a privacy-oriented configuration with code-division multiple-access operation and a centralized configuration with time-division multiple-access operation. A comparison between our privacy-oriented system and another acoustic location system based on code-division multiple-access operation and lateration method confirms the results found in radiofrequency-based localization. However, our experiments are the first to demonstrate the detrimental effect that reverberation has on acoustic localization approaches. Second, a location system based on time reversal technique and able to localize simultaneously sources with different location precisions has been tested through simulations for different values of the number of sources. The system has then been validated by experiments. Finally, we have been interested in reducing the audibility of the localization signal through psycho-acoustics. A filter, set from the absolute threshold of hearing, is then applied to the signal. Our results showed an improvement in precision, when compared to the location system without psychoacoustic model, thanks to the use of matched filter at the receiver. Moreover, we have noticed a significant reduction in the audibility of the filtered signal compared to that of the original signal
(6842960), Shuang Zhai. "Transkernel: An Executor for Commodity Kernels on Peripheral Cores." Thesis, 2019.
Знайти повний текст джерелаModern mobile devices have numerous ephemeral tasks. These tasks are driven by background activities, such as push notifications and sensor readings. In order to execute these tasks, the whole platform has to periodically wake up beforehand, and go to sleep afterwards. During this process, the OS kernel operates on power state of various IO devices, which has been identified as the bottleneck for energy efficiency. To this end, we want to offload this kernel phase to a more energy efficient, microcontroller level core, named peripheral core.
To execute commodity OS on a peripheral core, existing approaches either require much engineering effort or incur high execution cost. Therefore, we proposed a new OS model called transkernel. By utilizing cross-ISA dynamic binary translation (DBT) technique, transkernel creates a virtualized environment on the peripheral core. It relies on a small set of stable interfaces. It is specialized for frequently executed kernel path. It exploits ISA similarities to reduce DBT overhead.
We implement a transkernel model on ARM platform. With novel design and optimization, we demonstrate that a transkernel can gain energy efficiency. Moreover, it provides a new OS design to harness heterogeneous SoCs.
Книги з теми "Core kernel operations"
Mauro, Jim. Solaris internals: Core kernel components. Palo Alto, CA: Sun Microsystems, Inc., 2001.
Знайти повний текст джерелаFrederick, Jolitz William, ed. Source code secrets: The basic kernel. San Jose, Calif: Peer-to-Peer Communications, 1996.
Знайти повний текст джерелаSchulman, Andrew. Unauthorized Windows 95: Features, Bootprozess, Kernel 32, APIs, 32/16 Bit Code : Developer's Guide für die Grundlagen von Windows 95. Bonn: IWT Verlag, 1995.
Знайти повний текст джерелаLinux Core Kernel Commentary: Guide to Insider's Knowledge on the Core Kernel of the Linux Code. Coriolis Group Books, 1999.
Знайти повний текст джерелаMauro, Jim, Richard McDougall, and Sun Microsystems Press. Solaris Internals: Core Kernel Architecture. Prentice Hall PTR, 2000.
Знайти повний текст джерелаMauro, Jim, Richard McDougall, and Sun Microsystems Press. Solaris Internals: Core Kernel Architecture. Prentice Hall PTR, 2000.
Знайти повний текст джерелаMaxwell, Scott, and Scott Andrew Maxwell. Linux Core Kernel Commentary, 2nd Edition. 2nd ed. Coriolis Group Books, 2001.
Знайти повний текст джерелаJolitz, Lynne G., and William Frederick Jolitz. The Basic Kernel: Source Code Secrets. Coriolis Group Books, 2000.
Знайти повний текст джерелаPerla, Enrico. A Guide to Kernel Exploitation: Attacking the Core. Syngress, 2010.
Знайти повний текст джерелаЧастини книг з теми "Core kernel operations"
Drescher, Gabor, Timo Hönig, Sebastian Maier, Benjamin Oechslein, and Wolfgang Schröder-Preikschat. "A Scalability-Aware Kernel Executive for Many-Core Operating Systems." In Euro-Par 2013: Parallel Processing Workshops, 823–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54420-0_80.
Повний текст джерелаMarwedel, Peter. "System Software." In Embedded Systems, 203–37. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-60910-8_4.
Повний текст джерелаHarbour, Daniel. "The Form of the Phi Kernel." In Impossible Persons. The MIT Press, 2016. http://dx.doi.org/10.7551/mitpress/9780262034739.003.0009.
Повний текст джерелаRai, Jitendra Kumar, Atul Negi, Rajeev Wankar, and K. D. Nayak. "A Machine Learning Based Meta-Scheduler for Multi-Core Processors." In Machine Learning, 522–34. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-60960-818-7.ch311.
Повний текст джерелаRai, Jitendra Kumar, Atul Negi, Rajeev Wankar, and K. D. Nayak. "A Machine Learning Based Meta-Scheduler for Multi-Core Processors." In Technological Innovations in Adaptive and Dependable Systems, 226–38. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0255-7.ch014.
Повний текст джерела"Dense Linear Algebra." In Advances in Systems Analysis, Software Engineering, and High Performance Computing, 47–93. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-7082-1.ch003.
Повний текст джерелаTischler, Michael A. "Accelerating Geospatial Modeling in ArcGIS With Graphical Processor Units." In Geospatial Intelligence, 411–22. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8054-6.ch019.
Повний текст джерелаHuang, Yung-Sen, and Chung-Yen Lin. "Stimulatory Effects of Androgens on Eel Primary Ovarian Development - from Phenotypes to Genotypes." In Veterinary Medicine and Science. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.99582.
Повний текст джерелаde Luca, P., A. Galletti, H. R. Ghehsareh, L. Marcellino, and M. Raei. "A GPU-CUDA Framework for Solving a Two-Dimensional Inverse Anomalous Diffusion Problem." In Parallel Computing: Technology Trends. IOS Press, 2020. http://dx.doi.org/10.3233/apc200056.
Повний текст джерелаYang, Dai, Tilman Küstner, Rami Al-Rihawi, and Martin Schulz. "Exploring High Bandwidth Memory for PET Image Reconstruction." In Parallel Computing: Technology Trends. IOS Press, 2020. http://dx.doi.org/10.3233/apc200044.
Повний текст джерелаТези доповідей конференцій з теми "Core kernel operations"
Dejon, Nicolas, Chrystel Gaber, and Gilles Grimaud. "From MMU to MPU: Adaptation of the Pip Kernel to Constrained Devices." In 12th International Conference on Artificial Intelligence, Soft Computing and Applications. Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.122309.
Повний текст джерелаChen, Zhi-Xuan, Cheng Jin, Tian-Jing Zhang, Xiao Wu, and Liang-Jian Deng. "SpanConv: A New Convolution via Spanning Kernel Space for Lightweight Pansharpening." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/118.
Повний текст джерелаBrandes, Tim, Stefano Scarso, Christian Koch, and Stephan Staudacher. "Data-Driven Analysis of Engine Mission Severity Using Non-Dimensional Groups." In ASME Turbo Expo 2021: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/gt2021-58673.
Повний текст джерелаHe, Haifeng, John Trimble, Somu Perianayagam, Saumya Debray, and Gregory Andrews. "Code Compaction of an Operating System Kernel." In International Symposium on Code Generation and Optimization (CGO'07). IEEE, 2007. http://dx.doi.org/10.1109/cgo.2007.3.
Повний текст джерелаQingbo Yuan, Jianbo Zhao, Mingyu Chen, and Ninghui Sun. "GenerOS: An asymmetric operating system kernel for multi-core systems." In Distributed Processing (IPDPS). IEEE, 2010. http://dx.doi.org/10.1109/ipdps.2010.5470363.
Повний текст джерелаKudrjavets, Gunnar, Jeff Thomas, Nachiappan Nagappan, and Ayushi Rastogi. "Is Kernel Code Different From Non-Kernel Code? A Case Study of BSD Family Operating Systems." In 2022 IEEE International Conference on Software Maintenance and Evolution (ICSME). IEEE, 2022. http://dx.doi.org/10.1109/icsme55016.2022.00027.
Повний текст джерелаOliveira, Daniela Alvim Seabra de, and S. Felix Wu. "Protecting Kernel Code and Data with a Virtualization-Aware Collaborative Operating System." In 2009 Annual Computer Security Applications Conference (ACSAC). IEEE, 2009. http://dx.doi.org/10.1109/acsac.2009.49.
Повний текст джерелаGolubev, Igor, and Igor Kadarmetov. "Development of the Code GOLT for Performance Evaluation of Coated-Particles Fuel." In Fourth International Topical Meeting on High Temperature Reactor Technology. ASMEDC, 2008. http://dx.doi.org/10.1115/htr2008-58156.
Повний текст джерелаGoto, Minoru, Shohei Ueta, Jun Aihara, Yoshitomo Inaba, Yuji Fukaya, Yukio Tachibana, and Koji Okamoto. "Development of Security and Safety Fuel for Pu-Burner HTGR: Part 2 — Design Study of Fuel and Reactor Core." In 2017 25th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/icone25-67110.
Повний текст джерелаMiao, Zhuang, Fangxiaozhi Yu, and Zhao Xu. "Research on Signal Reconstruction Technology for Nuclear Power Plant Based on Self-Associative Kernel Regression." In 2022 29th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/icone29-89258.
Повний текст джерела