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Relevant bibliographies by topics / Symmetric Multiprocessing

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Academic literature on the topic 'Symmetric Multiprocessing'

Author: Grafiati

Published: 4 June 2021

Last updated: 12 February 2022

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Journal articles on the topic "Symmetric Multiprocessing"

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Denz, Robert, Scott Brookes, Martin Osterloh, Stephen Kuhn, and Stephen Taylor. "Symmetric multiprocessing from boot to virtualization." Software: Practice and Experience 48, no. 3 (2017): 681–718. http://dx.doi.org/10.1002/spe.2505.

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Kota, R., and R. Oehler. "Horus: Large-Scale Symmetric Multiprocessing for Opteron Systems." IEEE Micro 25, no. 2 (2005): 30–40. http://dx.doi.org/10.1109/mm.2005.28.

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Kanai, Yasushi, Kazuya Koyama, Manabu Ueki, et al. "Micromagnetic Analysis of Shielded Write Heads Using Symmetric Multiprocessing Systems." IEEE Transactions on Magnetics 46, no. 8 (2010): 3337–40. http://dx.doi.org/10.1109/tmag.2010.2045883.

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Mak, P., G. E. Strait, M. A. Blake, et al. "Processor subsystem interconnect architecture for a large symmetric multiprocessing system." IBM Journal of Research and Development 48, no. 3.4 (2004): 323–37. http://dx.doi.org/10.1147/rd.483.0323.

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PERRI, SIMONA, FRANCESCO RICCA, and MARCO SIRIANNI. "Parallel instantiation of ASP programs: techniques and experiments." Theory and Practice of Logic Programming 13, no. 2 (2012): 253–78. http://dx.doi.org/10.1017/s1471068411000652.

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AbstractAnswer-Set Programming (ASP) is a powerful logic-based programming language, which is enjoying increasing interest within the scientific community and (very recently) in industry. The evaluation of Answer-Set Programs is traditionally carried out in two steps. At the first step, an input program undergoes the so-called instantiation (or grounding) process, which produces a program ′ semantically equivalent to , but not containing any variable; in turn, ′ is evaluated by using a backtracking search algorithm in the second step. It is well-known that instantiation is important for the efficiency of the whole evaluation, might become a bottleneck in common situations, is crucial in several real-world applications, and is particularly relevant when huge input data have to be dealt with. At the time of this writing, the available instantiator modules are not able to exploit satisfactorily the latest hardware, featuring multi-core/multi-processor Symmetric MultiProcessing technologies. This paper presents some parallel instantiation techniques, including load-balancing and granularity control heuristics, which allow for the effective exploitation of the processing power offered by modern Symmetric MultiProcessing machines. This is confirmed by an extensive experimental analysis reported herein.

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Ida, Akihiro, Takeshi Iwashita, Takeshi Mifune, and Yasuhito Takahashi. "Parallel Hierarchical Matrices with Adaptive Cross Approximation on Symmetric Multiprocessing Clusters." Journal of Information Processing 22, no. 4 (2014): 642–50. http://dx.doi.org/10.2197/ipsjjip.22.642.

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Malazgirt, Gorker Alp, and Arda Yurdakul. "Prenaut: Design space exploration for embedded symmetric multiprocessing with various on-chip architectures." Journal of Systems Architecture 72 (January 2017): 3–18. http://dx.doi.org/10.1016/j.sysarc.2016.07.004.

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Sardar, Tanvir Habib, and Ahmed Rimaz Faizabadi. "Parallelization and analysis of selected numerical algorithms using OpenMP and Pluto on symmetric multiprocessing machine." Data Technologies and Applications 53, no. 1 (2019): 20–32. http://dx.doi.org/10.1108/dta-05-2018-0040.

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PurposeIn recent years, there is a gradual shift from sequential computing to parallel computing. Nowadays, nearly all computers are of multicore processors. To exploit the available cores, parallel computing becomes necessary. It increases speed by processing huge amount of data in real time. The purpose of this paper is to parallelize a set of well-known programs using different techniques to determine best way to parallelize a program experimented.Design/methodology/approachA set of numeric algorithms are parallelized using hand parallelization using OpenMP and auto parallelization using Pluto tool.FindingsThe work discovers that few of the algorithms are well suited in auto parallelization using Pluto tool but many of the algorithms execute more efficiently using OpenMP hand parallelization.Originality/valueThe work provides an original work on parallelization using OpenMP programming paradigm and Pluto tool.

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Wenhu, Zhang, Wu Zhimin, Deng Sier, Zhang Song, Tian Heng, and Yang Haisheng. "Safety Characteristic Evaluation of Cage in Cylindrical Roller Bearing at the Stage of Start-Up and Stop." Shock and Vibration 2020 (September 4, 2020): 1–11. http://dx.doi.org/10.1155/2020/8888065.

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The dynamics model of cylindrical roller bearing (CRB) in aeroengine main shaft was promoted and solved by Hilber–Hughes–Taylor (HHT) integer algorithm with variable step in combination with symmetric multiprocessing (SMP) parallel solving technology, and a finite element model of roller to cage contact was built. The dynamic characteristics of CRB at the stage of start-up and stop were analyzed firstly, and then, the collision forces between rollers and cage were used as the boundary conditions of the finite element model to discuss the influences of working conditions, structural parameters, and materials on the stress distribution and safety characteristic of cage at the stage of start-up and stop. The findings will provide the theoretical basis for the designing of CRB in aeroengine main shaft.

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Du, Yan Liang, Shi Yan Wang, Shu Hua Yin, Zhan Po Mao, and Su Zhen Yang. "Parallel Algorithms in a Physically-Based Hydrologic Soil Model." Applied Mechanics and Materials 536-537 (April 2014): 1634–38. http://dx.doi.org/10.4028/www.scientific.net/amm.536-537.1634.

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Enormous river basin information has been collected by for high resolution of the physically-based distributed hydrological model, while the scales of computational domain are often restricted by the intensive calculation. The parallel algorithms of physically-based regional hydrologic soil model (P-RHSM) in OpenGeoSys are brought forward in this paper. The object-oriented C++ programming in the model approaches the two objectives: one is data structure organizations including the spatial discretization of the computation domain with nodes density arrangement and solutions communication of temporal variables, the other is computational efficiency by parallel computing. The Message passing interface (MPI) communication is implemented in P-RHSM which is carried out on Linux supported symmetric multiprocessing computers. P-RHSM is applied to Heihe basin in the northwest China. The high-resolution results of temporal soil moisture content distribution, front movement and parallel performance is presented.

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Dissertations / Theses on the topic "Symmetric Multiprocessing"

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Southern, Gabriel. "Symmetric multiprocessing virtualization." Fairfax, VA : George Mason University, 2008. http://hdl.handle.net/1920/3225.

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Thesis (M.S.)--George Mason University, 2008.<br>Vita: p. 77. Thesis director: David Hwang. Submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Engineering. Title from PDF t.p. (viewed Aug. 28, 20088). Includes bibliographical references (p. 73-76). Also issued in print.

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Chao, Lance Rolin. "Symmetric MultiProcessing for the Pintos Instructional Operating System." Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/78293.

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For the last decade, practical limitations have prevented processor speeds from increasing significantly. To increase throughput, the computing industry has turned to multiprocessing; that is, executing computations in parallel on separate processing units. Making use of these additional units requires support from the operating system (OS). Indeed, most modern operating systems do have the capability of recognizing and utilizing multiprocessor hardware. Pintos is an instructional operating system used by many institutions to teach important operating systems concepts. Pintos aims to increase student engagement by providing challenging programming projects in which students personally implement many core functionalities of an operating system. However, prior to this work, Pintos was a uniprocessor OS. This makes it difficult for Pintos to expose students to the same synchronization challenges that most modern kernel developers face. In addition, the first structured project, aimed at teaching scheduling policies, requires students to implement an uniprocessor variant of MLFQS scheduler which is no longer used in modern systems. We implemented Symmetric MultiProcessing (SMP) support in Pintos. We also created a new scheduling assignment to expose students to a multiprocessor proportional-share scheduling policy called Completely Fair Scheduler and to introduce them to the concept of load balancing. Finally, we evaluate the effectiveness of our new Pintos framework in augmenting students’ knowledge of OS scheduling and enhancing their ability to code and debug in a low-level environment.<br>Master of Science

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Zhao, Shuai. "A FIFO spin-based resource control framework for symmetric multiprocessing." Thesis, University of York, 2018. http://etheses.whiterose.ac.uk/21014/.

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Managing shared resources in multiprocessor real-time systems can often lead to considerable schedulability sacrifice, and currently there exist no optimal multiprocessor resource sharing solutions. In addition, the choice of task mapping and priority ordering algorithms also has a direct impact on the efficiency of multiprocessor resource sharing. This thesis argues that instead of adopting a single resource sharing protocol with the traditional task mapping (e.g., the task allocation schemes that are based on utilisation only) and priority ordering (e.g., the Deadline Monotonic Priority Ordering) algorithms, the schedulability loss for managing shared resources on multiprocessors can be effectively reduced by applying a combination of appropriately chosen resource sharing protocols with new resource-oriented task allocation schemes and a new search-based priority ordering algorithm (which are independent from multiprocessor resource sharing protocols and the corresponding schedulability tests). In this thesis, a Flexible Multiprocessor Resource Sharing (FMRS) framework is proposed that aims to provide feasible resource sharing, task allocation and priority assignment solutions to fully-partitioned systems with shared resources, where each resource is controlled by a designated locking protocol. To achieve this, the candidate resource sharing protocols for this framework are firstly determined with a new schedulability test developed to support the analysis of systems with multiple locking protocols in use. Then, besides the existing algorithms, three new resource-orientated task allocation schemes and a search-based priority ordering algorithm are developed for the FMRS framework as the task mapping and priority ordering solutions. The choices of which locking protocols, task allocation and priority ordering algorithm should be adopted to a given system are determined off-line via a genetic algorithm. As demonstrated by evaluations, the FMRS framework can facilitate multiprocessor resource sharing and has a better performance than the traditional resource control and task scheduling techniques for fully-partitioned systems.

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Younge, Andrew J., Christopher Reidy, Robert Henschel, and Geoffrey C. Fox. "Evaluation of SMP Shared Memory Machines for Use with In-Memory and OpenMP Big Data Applications." IEEE, 2016. http://hdl.handle.net/10150/622702.

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While distributed memory systems have shaped the field of distributed systems for decades, the demand for many-core shared memory resources is increasing. Symmetric Multiprocessor Systems (SMPs) have become increasingly important recently among a wide array of disciplines, ranging from Bioinformatics to astrophysics, and beyond. With the increase in big data computing, the size and scope of traditional commodity server systems is often outpaced. While some big data applications can be mapped to distributed memory systems found through many cluster and cloud technologies today, this effort represents a large barrier of entry that some projects cannot cross. Shared memory SMP systems look to effectively and efficiently fill this niche within distributed systems by providing high throughput and performance with minimized development effort, as the computing environment often represents what many researchers are already familiar with. In this paper, we look at the use of two common shared memory systems, the ScaleMP vSMP virtualized SMP deployment at Indiana University, and the SGI UV architecture deployed at University of Arizona. While both systems are notably different in their design, their potential impact on computing is remarkably similar. As such, we look to compare each system first under a set of OpenMP threaded benchmarks via the SPEC group, and to follow up with our experience using each machine for Trinity de-novo assembly. We find both SMP systems are well suited to support various big data applications, with the newer vSMP deployment often slightly faster; however, certain caveats and performance considerations are necessary when considering such SMP systems.

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Bueno, Maikon Adiles Fernandez. "Análise e implementação de suporte a SMP (multiprocessamento simétrico) para o sistema operacional eCos com aplicação em robótica móvel." Universidade de São Paulo, 2007. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-21062007-150831/.

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Technological development has significantly reduced the distance between the performance of systems designed using reconfigurable computing and dedicated hardware. The main sources of performance are the high density level of the FPGAs and the resources? improvement offered by manufacturers, who make more its use more attractive in a variety of applications, emphatically in systems that demand a high degree of flexibility. In this context, the objective of this work consists on the exploration of the resources offered by FPGAs for the development of a multiprocessed platform with the purpose of parallel execution of tasks. In this way, the eCos operating system was modified, with the addition of new characteristics to support of the Symmetric Multiprocessing model, using three soft-Core Altera Nios II processors. On this operating system, all parallelism is directly related to execution of the threads. This platform was analyzed and validated through the execution of parallel algorithms, emphasizing aspects of performance and flexibility compared to other architectures. This work contributes for reaching better results in the execution of tasks in robotics area, which belongs to a domain that demand great competition of tasks, mainly in modules that involve interaction with the external environment<br>Technological development has significantly reduced the distance between the performance of systems designed using reconfigurable computing and dedicated hardware. The main sources of performance are the high density level of the FPGAs and the resources? improvement offered by manufacturers, who make more its use more attractive in a variety of applications, emphatically in systems that demand a high degree of flexibility. In this context, the objective of this work consists on the exploration of the resources offered by FPGAs for the development of a multiprocessed platform with the purpose of parallel execution of tasks. In this way, the eCos operating system was modified, with the addition of new characteristics to support of the Symmetric Multiprocessing model, using three soft-Core Altera Nios II processors. On this operating system, all parallelism is directly related to execution of the threads. This platform was analyzed and validated through the execution of parallel algorithms, emphasizing aspects of performance and flexibility compared to other architectures. This work contributes for reaching better results in the execution of tasks in robotics area, which belongs to a domain that demand great competition of tasks, mainly in modules that involve interaction with the external environment

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Books on the topic "Symmetric Multiprocessing"

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Schimmel, Curt. UNIX systems for modern architectures: Symmetric multiprocesssing and caching for kernel programmers. Addison-Wesley, 1994.

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Unrau, Ronald C. Scalable memory management through hierarchical symmetric multiprocessing. 1993.

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3

The use of Lanczos's method to solve the large generalized symmetric definite eigenvalue problem in parallel. National Aeronautics and Space Administration, Langley Research Center, Institute for Computer Applications in Science and Engineering, 1990.

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Schimmel, Curt. UNIX(R) Systems for Modern Architectures: Symmetric Multiprocessing and Caching for Kernel Programmers (Addison-Wesley Professional Computing Series). Addison-Wesley Professional, 1994.

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Book chapters on the topic "Symmetric Multiprocessing"

1

Wang, K. C. "Symmetric Multiprocessing MTX." In Design and Implementation of the MTX Operating System. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17575-1_15.

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"Grid, Cluster, Utility, and Symmetric Multiprocessing Computing." In Video Systems in an IT Environment. Elsevier, 2009. http://dx.doi.org/10.1016/b978-0-240-81042-3.00017-5.

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Fraga, Eric S. "Symmetric multiprocessing algorithm for conceptual process design." In Computer Aided Chemical Engineering. Elsevier, 2000. http://dx.doi.org/10.1016/s1570-7946(00)80108-x.

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"Appendix C Grid, Cluster, Utility, and Symmetric Multiprocessing Computing." In Video Systems in an IT Environment. Routledge, 2005. http://dx.doi.org/10.4324/9780080520629-20.

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Conference papers on the topic "Symmetric Multiprocessing"

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Bleasdale, C., and R. Saha. "Maximising system-performance with symmetric multiprocessing." In Embedded Systems Conference ESS2005 Incorporating the IEE FPGA Developers Forum. IEE, 2005. http://dx.doi.org/10.1049/ic:20050683.

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Petsios, S. K. D., and D. I. Fotiadis. "Cardiac electrophysiology numerical models using symmetric multiprocessing (SMP)." In 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2009. http://dx.doi.org/10.1109/iembs.2009.5334823.

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Happe, J., H. Groenda, and R. H. Reussner. "Performance evaluation of scheduling policies in symmetric multiprocessing environments." In amp; Simulation of Computer and Telecommunication Systems (MASCOTS). IEEE, 2009. http://dx.doi.org/10.1109/mascot.2009.5366656.

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Malazgirt, Gorker Alp, Bora Kiyan, Deniz Candas, Kamil Erdayandi, and Arda Yurdakul. "Exploring Embedded Symmetric Multiprocessing with Various On-Chip Architectures." In 2015 IEEE 13th International Conference on Embedded and Ubiquitous Computing (EUC). IEEE, 2015. http://dx.doi.org/10.1109/euc.2015.19.

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Makar, Robert J., Brian E. O'Toole, and Paul C. Rogers. "Real-time radiometric calculations utilizing SGI symmetric multiprocessing architecture." In AeroSense '97, edited by Robert Lee Murrer, Jr. SPIE, 1997. http://dx.doi.org/10.1117/12.280955.

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Happe, Jens, Henning Groenda, Michael Hauck, and Ralf H. Reussner. "A Prediction Model for Software Performance in Symmetric Multiprocessing Environments." In 2010 Seventh International Conference on the Quantitative Evaluation of Systems (QEST). IEEE, 2010. http://dx.doi.org/10.1109/qest.2010.15.

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Springer, Tom, and Peiyi Zhao. "Hierarchical Scheduling for Real-Time Periodic Tasks in Symmetric Multiprocessing." In 2nd International Conference on Blockchain and Internet of Things (BIoT 2021). AIRCC Publishing Corporation, 2021. http://dx.doi.org/10.5121/csit.2021.110810.

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In this paper, we present a new hierarchical scheduling framework for periodic tasks in symmetric multiprocessor (SMP) platforms. Partitioned and global scheduling are the two main approaches used by SMP based systems where global scheduling is recommended for overall performance and partitioned scheduling is recommended for hard real-time performance. Our approach combines both the global and partitioned approaches of traditional SMP-based schedulers to provide hard real-time performance guarantees for critical tasks and improved response times for soft real-time tasks. Implemented as part of VxWorks, the results are confirmed using a real-time benchmark application, where response times were improved for soft real-time tasks while still providing hard real-time performance.

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Qingbo, Yuan, Bao Yungang, Chen Mingyu, and Sun Ninghui. "A Scalability Analysis of the Symmetric Multiprocessing Architecture in Multi-Core System." In 2009 IEEE International Conference on Networking, Architecture, and Storage (NAS). IEEE, 2009. http://dx.doi.org/10.1109/nas.2009.51.

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Hanafi, Mohamed E., Mohammed A. H. Abozied, Yehia Z. Elhalwagy, and Ahmed Omar Elfarouk. "Real Time Symmetric Multiprocessing Software Design for Onboard Computer of Guided Missiles." In 2020 12th International Conference on Electrical Engineering (ICEENG). IEEE, 2020. http://dx.doi.org/10.1109/iceeng45378.2020.9171774.

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Ras, Jim, and Albert M. K. Cheng. "Response Time Analysis of the Abort-and-Restart Model under Symmetric Multiprocessing." In 2010 IEEE 10th International Conference on Computer and Information Technology (CIT). IEEE, 2010. http://dx.doi.org/10.1109/cit.2010.332.

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