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Evaluation Of Loop Scheduling Algorithms On Distributed Memory Systems
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Book Synopsis Evaluation of Loop Scheduling Algorithms on Distributed Memory Systems by : Teebu Philip
Download or read book Evaluation of Loop Scheduling Algorithms on Distributed Memory Systems written by Teebu Philip and published by . This book was released on 1996 with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "Loops are the largest source of parallelism in many applications. All prior DOALL loop scheduling algorithms such as Self- Scheduling, Guided Self-Scheduling, Trapezoid Self-Scheduling, and Factoring try to achieve workload balance through decreasing chunk sizes. Moreover, they have been analyzed only for shared memory platforms. In this work, the prior loop scheduling methods will be evlauated on two distributed memory machines using realistic workloads from the NAS Parallel benchmark suite and Livermore Loop Series. The distributed memory platforms are: a 16 node IBM SP2 and a 16-node nCUBE 2. The experimental results show that these decreasing chunk size methods tend to increase the communication time in distributed memory models by assigning more chunks. In view of these results, two new schemes, called Fixed Increase and Variable Increase, are introduced. Contrary to the earlier techniques, these schemes increase the chunk sizes in order to minimize the scheduling overhead by reducing interprocessor communication. The new algorithms can be implemented by parallel compilers and are scalable over large numbers of processors and iterations. Extensive measurements on both the machines indicate that the increasing chunk size methods can provide better performance than the existing algorithms for almost all workload patterns."
Book Synopsis Performance Analysis and Evaluation of Dynamic Loop Scheduling Techniques in a Competitive Runtime Environment for Distributed Memory Architectures by : Mahadevan Balasubramaniam
Download or read book Performance Analysis and Evaluation of Dynamic Loop Scheduling Techniques in a Competitive Runtime Environment for Distributed Memory Architectures written by Mahadevan Balasubramaniam and published by . This book was released on 2003 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Parallel computing offers immense potential to solve large, complex scientific problems. Load imbalance is a major impediment in obtaining high performance by a parallel system. One principal form of parallelism found in scientific applications is data parallelism. Loops without dependencies are data parallel. During the execution of large parallel loops, computational requirements vary due to problem, algorithmic and systemic characteristics. These factors lead to load imbalance which in turn degrades the performance of an application. Over the years, a number of dynamic loop scheduling techniques have been proposed to address one or more of these factors. However, there is no single strategy that works well for different problem domains and system characteristics. Moreover, load balancing during runtime is complicated because of its need for dynamic data redistribution. Therefore, there is a distinct need to integrate the dynamic loop scheduling techniques into a single package and provide them as an application programming interface (API) to the application developer. In recent years, along this direction, a number of dynamic loop scheduling techniques have been integrated into the compiler technologies for shared memory environments. On the other hand, there is no such integrated approach for distributed memory applications. The purpose of this thesis is to present the design, implementation and effectiveness of an integrated approach:the dynamic loop scheduling techniques are integrated into a runtime system for distributed memory architectures. For this purpose, we choose the newly developed parallel runtime environment for multicomputer architecture (PREMA) with its main components: the data movement and control substrate (DMCS) and mobile object layer (MOL). This runtime system has recently been developed and has demonstrated to be one of the most competitive runtime systems for distributed memory architectures. The significance of this work is that the proposed API will enhance the performance of parallel applications by reducing the load imbalance among processors caused by a wide range of factors and will reduce the software developmental cost required for load balancing. With the integration of the scheduling capabilities into the runtime system, its applicability has been expanded. The performance of the API has been evaluated qualitatively and quantitatively. The overhead of the API has been studied analytically and measured experimentally. Three parallel benchmarks including scientific applications of general interest (N-body simulations, automatic quadrature routine and unstructured grid heat solver) were considered for experimentation purpose. Based on the experiments conducted, a cost improvement of up to 76% over the straight forward parallel benchmark has been obtained. For certain application characteristics, the overhead of the runtime system was found to be within 10% of the underlying messaging layer. These results demonstrate that, in large scientific applications it is possible and desirable to combine the rich functionality of a runtime system with the advantages of scheduling techniques to achieve high performance.
Book Synopsis Performance Analysis and Evaluation of Dynamic Loop Scheduling Techniques in a Competitive Runtime Environment for Distributed Memory Architectures by :
Download or read book Performance Analysis and Evaluation of Dynamic Loop Scheduling Techniques in a Competitive Runtime Environment for Distributed Memory Architectures written by and published by . This book was released on 2003 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Parallel computing offers immense potential to solve large, complex scientific problems. Load imbalance is a major impediment in obtaining high performance by a parallel system. One principal form of parallelism found in scientific applications is data parallelism. Loops without dependencies are data parallel. During the execution of large parallel loops, computational requirements vary due to problem, algorithmic and systemic characteristics. These factors lead to load imbalance which in turn degrades the performance of an application. Over the years, a number of dynamic loop scheduling techniques have been proposed to address one or more of these factors. However, there is no single strategy that works well for different problem domains and system characteristics. Moreover, load balancing during runtime is complicated because of its need for dynamic data redistribution. Therefore, there is a distinct need to integrate the dynamic loop scheduling techniques into a single package and provide them as an application programming interface (API) to the application developer. In recent years, along this direction, a number of dynamic loop scheduling techniques have been integrated into the compiler technologies for shared memory environments. On the other hand, there is no such integrated approach for distributed memory applications. The purpose of this thesis is to present the design, implementation and effectiveness of an integrated approach:the dynamic loop scheduling techniques are integrated into a runtime system for distributed memory architectures. For this purpose, we choose the newly developed parallel runtime environment for multicomputer architecture (PREMA) with its main components: the data movement and control substrate (DMCS) and mobile object layer (MOL). This runtime system has recently been developed and has demonstrated to be one of the most competitive runtime systems for distributed memory architectures. The significance of this work is that the prop.
Book Synopsis An Empirical Comparison of Loop Scheduling Algorithms on a Shared Memory Multiprocessor by : Matthias A. Blumrich
Download or read book An Empirical Comparison of Loop Scheduling Algorithms on a Shared Memory Multiprocessor written by Matthias A. Blumrich and published by . This book was released on 1992 with total page 15 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "This paper studies several methods of instruction level parallelization applied at the statement level on a shared memory multiprocessor, and reports the results of an empirical evaluation to determine which of the methods yields the best results. Using sequential code as a base case, we compared doacross, list scheduling, greedy software pipelining (a variant of perfect pipelining), and top down scheduling. The experiments were performed on loops both with and without loop carried dependencies. We find that statement level parallelism does yield speedups on the shared memory multiprocessor. In addition, we observed an interesting superlinearity effect for fully vectorized loops."
Book Synopsis Performance Analysis and Evaluation of Divisible Load Theory and Dynamic Loop Scheduling Algorithms in Parallel and Distributed Environments by : Mahadevan Balasubramaniam
Download or read book Performance Analysis and Evaluation of Divisible Load Theory and Dynamic Loop Scheduling Algorithms in Parallel and Distributed Environments written by Mahadevan Balasubramaniam and published by . This book was released on 2015 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: High performance parallel and distributed computing systems are used to solve large, complex, and data parallel scientific applications that require enormous computational power. Data parallel workloads which require performing similar operations on different data objects, are present in a large number of scientific applications, such as N-body simulations and Monte Carlo simulations, and are expressed in the form of loops. Data parallel workloads that lack precedence constraints are called arbitrarily divisible workloads, and are amenable to easy parallelization. Load imbalance that arise from various sources such as application, algorithmic, and systemic characteristics during the execution of scientific applications degrades performance. Scheduling of arbitrarily divisible workloads to address load imbalance in order to obtain better utilization of computing resources is a major area of research. Divisible load theory (DLT) and dynamic loop scheduling (DLS) algorithms are two algorithmic approaches employed in the scheduling of arbitrarily divisible workloads. Despite sharing the same goal of achieving load balancing, the two approaches are fundamentally different. Divisible load theory algorithms are linear, deterministic and platform dependent, whereas dynamic loop scheduling algorithms are probabilistic and platform agnostic. Divisible load theory algorithms have been traditionally used for performance prediction in environments characterized by known or expected variation in the system characteristics at runtime. Dynamic loop scheduling algorithms are designed to simultaneously address all the sources of load imbalance that stochastically arise at runtime from application, algorithmic, and systemic characteristics. In In this dissertation, an analysis and performance evaluation of DLT and DLS algorithms are presented in the form of a scalability study and a robustness investigation. The effect of network topology on their performance is studied. A hybrid scheduling approach is also proposed that integrates DLT and DLS algorithms. The hybrid approach combines the strength of DLT and DLS algorithms and improves the performance of the scientific running in large scale parallel and distributed computing environments, and delivers performance superior to that which can be obtained by applying DLT algorithms in isolation. The range of conditions for which the hybrid approach is useful is also identified and discussed.
Book Synopsis Empirical Comparison of Loop Scheduling Algorithm on a Shared Memory Multiprocessor by : Princeton University. Department of Computer Science
Download or read book Empirical Comparison of Loop Scheduling Algorithm on a Shared Memory Multiprocessor written by Princeton University. Department of Computer Science and published by . This book was released on 1992 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Evolutionary Algorithms in Engineering Applications by : Dipankar Dasgupta
Download or read book Evolutionary Algorithms in Engineering Applications written by Dipankar Dasgupta and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 561 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evolutionary algorithms are general-purpose search procedures based on the mechanisms of natural selection and population genetics. They are appealing because they are simple, easy to interface, and easy to extend. This volume is concerned with applications of evolutionary algorithms and associated strategies in engineering. It will be useful for engineers, designers, developers, and researchers in any scientific discipline interested in the applications of evolutionary algorithms. The volume consists of five parts, each with four or five chapters. The topics are chosen to emphasize application areas in different fields of engineering. Each chapter can be used for self-study or as a reference by practitioners to help them apply evolutionary algorithms to problems in their engineering domains.
Book Synopsis Intelligent and Cloud Computing by : Debahuti Mishra
Download or read book Intelligent and Cloud Computing written by Debahuti Mishra and published by Springer Nature. This book was released on 2020-08-28 with total page 676 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features a collection of high-quality research papers presented at the International Conference on Intelligent and Cloud Computing (ICICC 2019), held at Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, India, on December 20, 2019. Including contributions on system and network design that can support existing and future applications and services, it covers topics such as cloud computing system and network design, optimization for cloud computing, networking, and applications, green cloud system design, cloud storage design and networking, storage security, cloud system models, big data storage, intra-cloud computing, mobile cloud system design, real-time resource reporting and monitoring for cloud management, machine learning, data mining for cloud computing, data-driven methodology and architecture, and networking for machine learning systems.
Book Synopsis Task Scheduling Algorithms for Distributed Memory Systems by : Sekhar Darbha
Download or read book Task Scheduling Algorithms for Distributed Memory Systems written by Sekhar Darbha and published by . This book was released on 1995 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis An Adaptive Scheduling Algorithm and Its Variations for Parallel Loops in Shared-memory Systems by : Canming Jin
Download or read book An Adaptive Scheduling Algorithm and Its Variations for Parallel Loops in Shared-memory Systems written by Canming Jin and published by . This book was released on 1996 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Performance Issues in Parallel Loop Scheduling for Multiprogrammed Multiprocesors by : Kelvin Kam-Suen Yue
Download or read book Performance Issues in Parallel Loop Scheduling for Multiprogrammed Multiprocesors written by Kelvin Kam-Suen Yue and published by . This book was released on 1996 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Scheduling Algorithms for High-level Synthesis Systems and for Distributed Memory Multiprocessor Systems by : Jayesh Manilal Siddhiwala
Download or read book Scheduling Algorithms for High-level Synthesis Systems and for Distributed Memory Multiprocessor Systems written by Jayesh Manilal Siddhiwala and published by . This book was released on 1995 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis High Performance Computing - HiPC'99 by : Prith Banerjee
Download or read book High Performance Computing - HiPC'99 written by Prith Banerjee and published by Springer. This book was released on 2004-06-01 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: These are the proceedings of the Sixth International Conference on High Performance Computing (HiPC’99) held December 17-20 in Calcutta, India. The meeting serves as a forum for presenting current work by researchers from around the world as well as highlighting activities in Asia in the high performance computing area. The meeting emphasizes both the design and the analysis of high performance computing systems and their scientific, engineering, and commercial applications. Topics covered in the meeting series include: Parallel Algorithms Scientific Computation Parallel Architectures Visualization Parallel Languages & Compilers Network and Cluster Based Computing Distributed Systems Signal & Image Processing Systems Programming Environments Supercomputing Applications Memory Systems Internet and WWW-based Computing Multimedia and High Speed Networks Scalable Servers We would like to thank Alfred Hofmann and Ruth Abraham of Springer-Verlag for their excellent support in bringing out the proceedings. The detailed messages from the steering committee chair, general co-chair and program chair pay tribute to numerous volunteers who helped us in organizing the meeting. October 1999 Viktor K. Prasanna Bhabani Sinha Prithviraj Banerjee Message from the Steering Chair It is my pleasure to welcome you to the Sixth International Conference on High Performance Computing. I hope you enjoy the meeting, the rich cultural heritage of Calcutta, as well as the mother Ganges, “the river of life”.
Book Synopsis Scientific and Technical Aerospace Reports by :
Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1987 with total page 948 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Handbook of Scheduling by : Joseph Y-T. Leung
Download or read book Handbook of Scheduling written by Joseph Y-T. Leung and published by CRC Press. This book was released on 2004-04-27 with total page 1215 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook provides full coverage of the most recent and advanced topics in scheduling, assembling researchers from all relevant disciplines to facilitate new insights. Presented in six parts, these experts provides introductory material, complete with tutorials and algorithms, then examine classical scheduling problems. Part 3 explores scheduling models that originate in areas such as computer science, operations research. The following section examines scheduling problems that arise in real-time systems. Part 5 discusses stochastic scheduling and queueing networks, and the final section discusses a range of applications in a variety of areas, from airlines to hospitals.
Book Synopsis Hierarchical Distributed Loop Self-scheduling Schemes on Cluster and Cloud Systems by : Yiming Han
Download or read book Hierarchical Distributed Loop Self-scheduling Schemes on Cluster and Cloud Systems written by Yiming Han and published by . This book was released on 2014 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: Loops are the largest source of parallelism in many scientific applications. Parallelization of irregular loop applications is a challenging problem to achieve scalable performance on cluster and cloud systems. In distributed systems, load balance, communication and synchronization overhead must be taken considered. For cluster systems, previous research proposed an effective Master-Worker model on clusters for distributed self-scheduling schemes that apply to parallel loops with independent iterations. However, this model has not been applied to large-scale clusters. Cloud computing infrastructure offers computing resources as a collection of virtual machines by different hardware configurations, which is transparent to end users. In fact, the computing powers of these virtual machines instances are different and the system behaves as a heterogeneous environment. Thus, scheduling and load balancing for high performance computations become challenging issues. We propose a hierarchical distributed approach suitable for scheduling parallel loops. We implemented our algorithms(or schemes) on a large scale homogeneous cluster and also on a heterogeneous cloud environment. We evaluated various performance aspects associated with our distributed scheduling algorithms. Modern cloud systems provide high availability, fault tolerance, disaster recovery and monitoring for the most critical environments. In the event of failures, cloud systems with fault tolerance can continue to operate properly. We also propose a fault tolerant hierarchical distributed algorithms to survive from hardware/software faults and reschedule the rest of workload.
Book Synopsis Using Processor Affinity in Loop Scheduling on Shared-memory Multiprocessors by : University of Rochester. Dept. of Computer Science
Download or read book Using Processor Affinity in Loop Scheduling on Shared-memory Multiprocessors written by University of Rochester. Dept. of Computer Science and published by . This book was released on 1992 with total page 31 pages. Available in PDF, EPUB and Kindle. Book excerpt:
