A Flexible Simulation Framework For Processor Scheduling Algorithms In Multicore Systems


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A Flexible Simulation Framework for Processor Scheduling Algorithms in Multicore Systems


A Flexible Simulation Framework for Processor Scheduling Algorithms in Multicore Systems

Author: Viswanathan Manickam

language: en

Publisher:

Release Date: 2012


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In traditional uniprocessor systems, processor scheduling is the responsibility of the operating system. In high performance computing (HPC) domains that largely involve parallel processors, the responsibility of scheduling is usually left to the applications. So far, parallel computing has been confined to a small group of specialized HPC users. In this context, the hardware, operating system, and the applications have been mostly designed independently with minimal interactions. As the multicore processors are becoming the norm, parallel programming is expected to emerge as the mainstream software development approach. This new trend poses several challenges including performance, power management, system utilization, and predictable response. Such a demand is hard to meet without the cooperation from hardware, operating system, and applications. Particularly, an efficient scheduling of cores to the application threads is fundamentally important in assuring the above mentioned characteristics. We believe, operating system requires to take a larger responsibility in ensuring efficient multicore scheduling of application threads. To study the performance of a new scheduling algorithm for the future multicore systems with hundreds and thousands of cores, we need a flexible scheduling simulation testbed. Designing such a multicore scheduling simulation testbed and illustrating its functionality by studying some well known scheduling algorithms Linux and Solaris are the main contributions of this thesis. In addition to studying Linux and Solaris scheduling algorithms, we demonstrate the power, flexibility, and use of the proposed scheduling testbed by simulating two popular gang scheduling algorithms - adaptive first-come-first-served (AFCFS) and largest gang first served (LGFS). As a result of this performance study, we designed a new gang scheduling algorithm and we compared its performance with AFCFS. The proposed scheduling simulation testbed is developed using Java and expected to be released for public use.

Asian Research on English for Specific Purposes


Asian Research on English for Specific Purposes

Author: Youzhong Sun

language: en

Publisher: Springer Nature

Release Date: 2020-05-20


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English for Specific Purposes (ESP), addressing the communicative needs and practices of particular professional or occupational groups, has developed rapidly in the past fifty years and is now a major force in English language teaching and research. This critical volume helps innovate the theory, practice, and methodology for ESP teaching and research in Asian countries and areas. Promoting communication and enhancing cooperation on ESP research and pedagogy across cultures, it provides ESP scholars, educators and practitioners with an opportunity to benefit from each other’s research and expertise in an age of globalization and digitalization. The volume provides an in-depth analysis of the latest scholarship on English teaching and research for general and specific academic and occupational purposes; the intercultural communication in ESP contexts; corpus linguistics and data-driven instruction for ESP; computer-assisted language learning and mobile-assisted language learning; evaluation of English writing courses; and ESP translation strategies.

Simulation and Modeling Methodologies, Technologies and Applications


Simulation and Modeling Methodologies, Technologies and Applications

Author: Mohammad S. Obaidat

language: en

Publisher: Springer

Release Date: 2014-10-21


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This book includes extended and revised versions of a set of selected papers from the 3rd International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2013) which was co-organized by the Reykjavik University (RU) and sponsored by the Institute for Systems and Technologies of Information, Control and Communication (INSTICC). SIMULTECH 2013 was held in cooperation with the ACM SIGSIM - Special Interest Group (SIG) on SImulation and Modeling (SIM), Movimento Italiano Modellazione e Simulazione (MIMOS) and AIS Special Interest Group on Modeling and Simulation (AIS SIGMAS) and technically co-sponsored by the Society for Modeling & Simulation International (SCS), Liophant Simulation, Simulation Team and International Federation for Information Processing (IFIP). This proceedings brings together researchers, engineers, applied mathematicians and practitioners working in the advances and applications in the field of system simulation.


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