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Runtime Systems for Load Balancing and Fault Tolerance on Distributed Systems

Runtime Systems for Load Balancing and Fault Tolerance on Distributed Systems PDF Author: Md Humayun Arafat
Publisher:
ISBN:
Category :
Languages : en
Pages : 119

Book Description
Exascale computing creates many challenges for scientific applications in both hardware and software. There is a continuous need for adaption to new architectures. Load balancing and data distribution are major issues in increasingly large machines. In addition, fault tolerance has to be considered in every aspect of the system. In this dissertation, we make contributions to advance parallel computing, load balancing and fault tolerance in the context of scientific applications. The dynamical nucleation theory Monte Carlo (DNTMC) application from the NWChem computational chemistry suite utilizes a Markov chain Monte Carlo, two-level parallel structure, with periodic synchronization points that assemble the results of independent finer-grained calculations. Like many such applications, the existing code employs a static partitioning of processes into groups and assigns each group a piece of the finer-grained parallel calculation. A significant cause of performance degradation is load imbalance among groups since the time requirements of the inner-parallel calculation varies widely with the input problem and as a result of the Monte Carlo simulation. We present a novel approach to load balancing such calculations with minimal changes to the application. We introduce the concept of a resource sharing barrier (RSB) -- a barrier that allows process groups waiting on other processes' work to actively contribute to their completion.

Runtime Systems for Load Balancing and Fault Tolerance on Distributed Systems

Runtime Systems for Load Balancing and Fault Tolerance on Distributed Systems PDF Author: Md Humayun Arafat
Publisher:
ISBN:
Category :
Languages : en
Pages : 119

Book Description
Exascale computing creates many challenges for scientific applications in both hardware and software. There is a continuous need for adaption to new architectures. Load balancing and data distribution are major issues in increasingly large machines. In addition, fault tolerance has to be considered in every aspect of the system. In this dissertation, we make contributions to advance parallel computing, load balancing and fault tolerance in the context of scientific applications. The dynamical nucleation theory Monte Carlo (DNTMC) application from the NWChem computational chemistry suite utilizes a Markov chain Monte Carlo, two-level parallel structure, with periodic synchronization points that assemble the results of independent finer-grained calculations. Like many such applications, the existing code employs a static partitioning of processes into groups and assigns each group a piece of the finer-grained parallel calculation. A significant cause of performance degradation is load imbalance among groups since the time requirements of the inner-parallel calculation varies widely with the input problem and as a result of the Monte Carlo simulation. We present a novel approach to load balancing such calculations with minimal changes to the application. We introduce the concept of a resource sharing barrier (RSB) -- a barrier that allows process groups waiting on other processes' work to actively contribute to their completion.

Run-time Support for Dynamic Load Balancing and Debugging in Paralex

Run-time Support for Dynamic Load Balancing and Debugging in Paralex PDF 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.

Load Balance For Distributed Real-time Computing Systems

Load Balance For Distributed Real-time Computing Systems PDF Author: Junhua Fang
Publisher: World Scientific
ISBN: 9811216169
Category : Computers
Languages : en
Pages : 259

Book Description
This illustrative compendium analyzes the load balancing problem in distributed stream processing systems and explores a set of high-performance real-time processing scheme based on key-based balancing strategy, join-matrix model and fault tolerance mechanisms.The volume succinctly provides the theoretical support for the proposed techniques. Through a rich set of experiments and comparisons with the other state-of-the-art techniques using both standard benchmarks and real data sets, the book comprehensively verifies the correctness and effectiveness of the proposed methods.This unique title is an excellent reference text for researchers in the fields of distributed stream processing, parallel system, cloud computing, etc.

Distributed Computing

Distributed Computing PDF Author: Dr.C.Priya
Publisher: SK Research Group of Companies
ISBN: 9364921941
Category : Computers
Languages : en
Pages : 208

Book Description
Dr.C.Priya, Professor, Department of Computer Applications, Dr.M.G.R. Educational and Research Institute, Chennai, Tamil Nadu, India. Dr.V.Priya, Assistant Professor, Department of Computer Applications, SSKV College of Arts and Science for Women, Kanchipuram, Tamil Nadu, India. Dr.R.Subhashni, Associate Professor, Department of Computer Science and Applications, St.Peter's Institute of Higher Education and Research, Chennai, Tamil Nadu, India. Dr.S.Vigneshwari, Professor & Head, Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India. Dr.Sheela.K, Assistant Professor, Department of Computer Science, Vels Institute of Science, Technology and Advanced Studies (VISTAS), Chennai, Tamil Nadu, India.

Integrating Load Balancing with Fault Tolerance in Distributed Systems

Integrating Load Balancing with Fault Tolerance in Distributed Systems PDF Author: Aditya Singh
Publisher:
ISBN:
Category :
Languages : en
Pages : 126

Book Description


A Fault Oblivious Extreme-Scale Execution Environment

A Fault Oblivious Extreme-Scale Execution Environment PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description
The FOX project, funded under the ASCR X-stack I program, developed systems software and runtime libraries for a new approach to the data and work distribution for massively parallel, fault oblivious application execution. Our work was motivated by the premise that exascale computing systems will provide a thousand-fold increase in parallelism and a proportional increase in failure rate relative to today's machines. To deliver the capability of exascale hardware, the systems software must provide the infrastructure to support existing applications while simultaneously enabling efficient execution of new programming models that naturally express dynamic, adaptive, irregular computation; coupled simulations; and massive data analysis in a highly unreliable hardware environment with billions of threads of execution. Our OS research has prototyped new methods to provide efficient resource sharing, synchronization, and protection in a many-core compute node. We have experimented with alternative task/dataflow programming models and shown scalability in some cases to hundreds of thousands of cores. Much of our software is in active development through open source projects. Concepts from FOX are being pursued in next generation exascale operating systems. Our OS work focused on adaptive, application tailored OS services optimized for multi → many core processors. We developed a new operating system NIX that supports role-based allocation of cores to processes which was released to open source. We contributed to the IBM FusedOS project, which promoted the concept of latency-optimized and throughput-optimized cores. We built a task queue library based on distributed, fault tolerant key-value store and identified scaling issues. A second fault tolerant task parallel library was developed, based on the Linda tuple space model, that used low level interconnect primitives for optimized communication. We designed fault tolerance mechanisms for task parallel computations employing work stealing for load balancing that scaled to the largest existing supercomputers. Finally, we implemented the Elastic Building Blocks runtime, a library to manage object-oriented distributed software components. To support the research, we won two INCITE awards for time on Intrepid (BG/P) and Mira (BG/Q). Much of our work has had impact in the OS and runtime community through the ASCR Exascale OS/R workshop and report, leading to the research agenda of the Exascale OS/R program. Our project was, however, also affected by attrition of multiple PIs. While the PIs continued to participate and offer guidance as time permitted, losing these key individuals was unfortunate both for the project and for the DOE HPC community.

Fault Tolerance in Distributed Systems

Fault Tolerance in Distributed Systems PDF Author: Pankaj Jalote
Publisher: Prentice Hall
ISBN:
Category : Computers
Languages : en
Pages : 456

Book Description
Fault tolerance is an approach by which reliability of a computer system can be increased beyond what can be achieved by traditional methods. Comprehensive and self-contained, this book explores the information available on software supported fault tolerance techniques, with a focus on fault tolerance in distributed systems.

Parallel and Distributed Processing

Parallel and Distributed Processing PDF Author: Jose Rolim
Publisher: Springer
ISBN: 3540455914
Category : Computers
Languages : en
Pages : 667

Book Description
This volume contains the proceedings from the workshops held in conjunction with the IEEE International Parallel and Distributed Processing Symposium, IPDPS 2000, on 1-5 May 2000 in Cancun, Mexico. The workshopsprovidea forum for bringing together researchers,practiti- ers, and designers from various backgrounds to discuss the state of the art in parallelism.Theyfocusondi erentaspectsofparallelism,fromruntimesystems to formal methods, from optics to irregular problems, from biology to networks of personal computers, from embedded systems to programming environments; the following workshops are represented in this volume: { Workshop on Personal Computer Based Networks of Workstations { Workshop on Advances in Parallel and Distributed Computational Models { Workshop on Par. and Dist. Comp. in Image, Video, and Multimedia { Workshop on High-Level Parallel Prog. Models and Supportive Env. { Workshop on High Performance Data Mining { Workshop on Solving Irregularly Structured Problems in Parallel { Workshop on Java for Parallel and Distributed Computing { WorkshoponBiologicallyInspiredSolutionsto ParallelProcessingProblems { Workshop on Parallel and Distributed Real-Time Systems { Workshop on Embedded HPC Systems and Applications { Recon gurable Architectures Workshop { Workshop on Formal Methods for Parallel Programming { Workshop on Optics and Computer Science { Workshop on Run-Time Systems for Parallel Programming { Workshop on Fault-Tolerant Parallel and Distributed Systems All papers published in the workshops proceedings were selected by the p- gram committee on the basis of referee reports. Each paper was reviewed by independent referees who judged the papers for originality, quality, and cons- tency with the themes of the workshops.

Fault-tolerant Message-passing Distributed Systems

Fault-tolerant Message-passing Distributed Systems PDF Author: Michel Raynal
Publisher:
ISBN: 9783319941424
Category : Electronic data processing
Languages : en
Pages : 459

Book Description
This book presents the most important fault-tolerant distributed programming abstractions and their associated distributed algorithms, in particular in terms of reliable communication and agreement, which lie at the heart of nearly all distributed applications. These programming abstractions, distributed objects or services, allow software designers and programmers to cope with asynchrony and the most important types of failures such as process crashes, message losses, and malicious behaviors of computing entities, widely known under the term "Byzantine fault-tolerance". The author introduces these notions in an incremental manner, starting from a clear specification, followed by algorithms which are first described intuitively and then proved correct. The book also presents impossibility results in classic distributed computing models, along with strategies, mainly failure detectors and randomization, that allow us to enrich these models. In this sense, the book constitutes an introduction to the science of distributed computing, with applications in all domains of distributed systems, such as cloud computing and blockchains. Each chapter comes with exercises and bibliographic notes to help the reader approach, understand, and master the fascinating field of fault-tolerant distributed computing.

Advanced Computational Infrastructures for Parallel and Distributed Adaptive Applications

Advanced Computational Infrastructures for Parallel and Distributed Adaptive Applications PDF Author: Manish Parashar
Publisher: John Wiley & Sons
ISBN: 0470558016
Category : Computers
Languages : en
Pages : 542

Book Description
A unique investigation of the state of the art in design, architectures, and implementations of advanced computational infrastructures and the applications they support Emerging large-scale adaptive scientific and engineering applications are requiring an increasing amount of computing and storage resources to provide new insights into complex systems. Due to their runtime adaptivity, these applications exhibit complicated behaviors that are highly dynamic, heterogeneous, and unpredictable—and therefore require full-fledged computational infrastructure support for problem solving, runtime management, and dynamic partitioning/balancing. This book presents a comprehensive study of the design, architecture, and implementation of advanced computational infrastructures as well as the adaptive applications developed and deployed using these infrastructures from different perspectives, including system architects, software engineers, computational scientists, and application scientists. Providing insights into recent research efforts and projects, the authors include descriptions and experiences pertaining to the realistic modeling of adaptive applications on parallel and distributed systems. The first part of the book focuses on high-performance adaptive scientific applications and includes chapters that describe high-impact, real-world application scenarios in order to motivate the need for advanced computational engines as well as to outline their requirements. The second part identifies popular and widely used adaptive computational infrastructures. The third part focuses on the more specific partitioning and runtime management schemes underlying these computational toolkits. Presents representative problem-solving environments and infrastructures, runtime management strategies, partitioning and decomposition methods, and adaptive and dynamic applications Provides a unique collection of selected solutions and infrastructures that have significant impact with sufficient introductory materials Includes descriptions and experiences pertaining to the realistic modeling of adaptive applications on parallel and distributed systems The cross-disciplinary approach of this reference delivers a comprehensive discussion of the requirements, design challenges, underlying design philosophies, architectures, and implementation/deployment details of advanced computational infrastructures. It makes it a valuable resource for advanced courses in computational science and software/systems engineering for senior undergraduate and graduate students, as well as for computational and computer scientists, software developers, and other industry professionals.