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Author: Cornell University. Dept. of Computer Science Publisher: ISBN: Category : Debugging in computer science Languages : en Pages : 13
Book Description
Paralex is a programming environment for developing and executing parallel applications in distributed systems. The user is spared complexities of distributed programming including remote execution, data representation, communication, synchronization and fault tolerance as they are handled automatically by the system. Once an application starts execution in a distributed system, it may be interacted with at two levels: by Paralex itself to achieve automatic fault tolerance and dynamic load balancing; or by the user in association with performance tuning and debugging. In this paper, we describe the set of monitors and control mechanisms that constitute the Paralex run-time system and their use for implementing dynamic load balancing and debugging.
Author: Cornell University. Dept. of Computer Science Publisher: ISBN: Category : Debugging in computer science Languages : en Pages : 13
Book Description
Paralex is a programming environment for developing and executing parallel applications in distributed systems. The user is spared complexities of distributed programming including remote execution, data representation, communication, synchronization and fault tolerance as they are handled automatically by the system. Once an application starts execution in a distributed system, it may be interacted with at two levels: by Paralex itself to achieve automatic fault tolerance and dynamic load balancing; or by the user in association with performance tuning and debugging. In this paper, we describe the set of monitors and control mechanisms that constitute the Paralex run-time system and their use for implementing dynamic load balancing and debugging.
Author: João M. F. Rodrigues Publisher: Springer ISBN: 3030227340 Category : Computers Languages : en Pages : 659
Book Description
The five-volume set LNCS 11536, 11537, 11538, 11539, and 11540 constitutes the proceedings of the 19th International Conference on Computational Science, ICCS 2019, held in Faro, Portugal, in June 2019. The total of 65 full papers and 168 workshop papers presented in this book set were carefully reviewed and selected from 573 submissions (228 submissions to the main track and 345 submissions to the workshops). The papers were organized in topical sections named: Part I: ICCS Main Track Part II: ICCS Main Track; Track of Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Track of Agent-Based Simulations, Adaptive Algorithms and Solvers; Track of Applications of Matrix Methods in Artificial Intelligence and Machine Learning; Track of Architecture, Languages, Compilation and Hardware Support for Emerging and Heterogeneous Systems Part III: Track of Biomedical and Bioinformatics Challenges for Computer Science; Track of Classifier Learning from Difficult Data; Track of Computational Finance and Business Intelligence; Track of Computational Optimization, Modelling and Simulation; Track of Computational Science in IoT and Smart Systems Part IV: Track of Data-Driven Computational Sciences; Track of Machine Learning and Data Assimilation for Dynamical Systems; Track of Marine Computing in the Interconnected World for the Benefit of the Society; Track of Multiscale Modelling and Simulation; Track of Simulations of Flow and Transport: Modeling, Algorithms and Computation Part V: Track of Smart Systems: Computer Vision, Sensor Networks and Machine Learning; Track of Solving Problems with Uncertainties; Track of Teaching Computational Science; Poster Track ICCS 2019 Chapter “Comparing Domain-decomposition Methods for the Parallelization of Distributed Land Surface Models” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Author: Kenneth P. Birman Publisher: ISBN: Category : Computers Languages : en Pages : 426
Book Description
In distributed computing systems -- the software for networks -- a system may have a huge number of components resulting in a high level of complexity. That and issues such as fault-tolerance, security, system management, and exploitation of concurrency make the development of complex distributed systems a challenge.
Author: Cornell University. Dept. of Computer Science Publisher: ISBN: Category : Distributed parameter systems Languages : en Pages : 20
Book Description
Modern distributed systems consisting of powerful workstations and high-speed interconnection networks are an economical alternative to special-purpose super computers. The technical issues that need to be addressed in exploiting the parallelism inherent in a distributed system include heterogeneity, high-latency communication, fault tolerance and dynamic load balancing. Current software systems for parallel programming provide little or no automatic support towards these issues and require users to be experts in fault-tolerant distributed computing. The Paralex system is aimed at exploring the extent to which the parallel application programmer can be liberated from the complexities of distributed systems. Paralex is a complete programming environment and makes extensive use of graphics to define, edit, execute and debug parallel scientific applications. All of the necessary code for distributing the computation across a network and replicating it to achieve fault tolerance and dynamic load balancing is automatically generated by the system. In this paper we give an overview of Paralex and present our experiences with a prototype implementation
Author: Cornell University. Dept. of Computer Science
Author: Cornell University. Dept. of Computer Science
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Author: João M. F. Rodrigues
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Author: Kenneth P. Birman
Author: Kevin J. Barker
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Author: Cornell University. Dept. of Computer Science
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