Download or read book Dynamic Task Execution on Shared and Distributed Memory Architectures written by Asim Yarkhan and published by . This book was released on 2012 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multicore architectures with high core counts have come to dominate the world of high performance computing, from shared memory machines to the largest distributed memory clusters. The multicore route to increased performance has a simpler design and better power efficiency than the traditional approach of increasing processor frequencies. But, standard programming techniques are not well adapted to this change in computer architecture design. In this work, we study the use of dynamic runtime environments executing data driven applications as a solution to programming multicore architectures. The goals of our runtime environments are productivity, scalability and performance. We demonstrate productivity by defining a simple programming interface to express code. Our runtime environments are experimentally shown to be scalable and give competitive performance on large multicore and distributed memory machines. This work is driven by linear algebra algorithms, where state-of-the-art libraries (e.g., LAPACK and ScaLAPACK) using a fork-join or block-synchronous execution style do not use the available resources in the most efficient manner. Research work in linear algebra has reformulated these algorithms as tasks acting on tiles of data, with data dependency relationships between the tasks. This results in a task-based DAG for the reformulated algorithms, which can be executed via asynchronous data-driven execution paths analogous to dataflow execution. We study an API and runtime environment for shared memory architectures that efficiently executes serially presented tile based algorithms. This runtime is used to enable linear algebra applications and is shown to deliver performance competitive with state-of-the-art commercial and research libraries. We develop a runtime environment for distributed memory multicore architectures extended from our shared memory implementation. The runtime takes serially presented algorithms designed for the shared memory environment, and schedules and executes them on distributed memory architectures in a scalable and high performance manner. We design a distributed data coherency protocol and a distributed task scheduling mechanism which avoid global coordination. Experimental results with linear algebra applications show the scalability and performance of our runtime environment.

Download or read book Dynamic Task Discovery in a Data flow Task based Runtime System written by Reazul Hoque and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The successful utilization of the modern configuration of the heterogeneous many-core architectures with complex memory hierarchies is a challenge for many application developers. Portability and performance of existing and new applications are the key challenges scientific application developers are continuously facing. Many evolutionary solutions have been proposed, including ones that seek to extend the capabilities of the current message passing paradigm with intra-node features (MPI+X). A different, more revolutionary, solution explores data-flow task-based Runtime systems as a substitute to both local and distributed data dependencies management. The method of programming such a Runtime is important, as that directly affects the productivity of the developers and the performance of the applications. This work extends the capability of one of such runtime, the Parallel Runtime Scheduling and Execution Controller (PaRSEC), to the novel programming approach of allowing users to insert task in the Runtime by writing sequential code. This programming model is called Dynamic Task Discovery (DTD), which discovers tasks dynamically at runtime and uses optimized graph unrolling techniques to accommodate applications with large task graphs. In this work, PaRSEC's capability is extended by providing a new programming model, DTD. Bottlenecks of this programming model are identified and solutions to overcome its limitations are proposed. The performance of the implementation of DTD on top of dense linear algebra workload is analyzed at scale, where DTD has shown excellent results in distributed memory: 2.3x--1.3x better performance at 128 nodes for QR factorization compared to ScaLAPACK and in shared memory, 4x—5x better performance for Cholesky factorization compared to other runtimes, StarPU and QUARK. DTD was also evaluated via the coupled-cluster method of state of the art quantum chemistry application NWCHEM, where it performed remarkably well among all considered Runtimes at scale of 128 nodes. The hope is that the concept and the development of DTD, the detailed evaluation of its practical performance at scale, the analysis of the theoretical limitations of it, the thorough study and classification of various task-based Runtime systems, and the design, implementation and evaluations of the chosen Runtimes on micro-benchmarks will help the broad scientific application developer community.

Download or read book Hierarchical Scheduling in Parallel and Cluster Systems written by Sivarama Dandamudi and published by Springer Science & Business Media. This book was released on 2003-06-30 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiple processor systems are an important class of parallel systems. Over the years, several architectures have been proposed to build such systems to satisfy the requirements of high performance computing. These architectures span a wide variety of system types. At the low end of the spectrum, we can build a small, shared-memory parallel system with tens of processors. These systems typically use a bus to interconnect the processors and memory. Such systems, for example, are becoming commonplace in high-performance graph ics workstations. These systems are called uniform memory access (UMA) multiprocessors because they provide uniform access of memory to all pro cessors. These systems provide a single address space, which is preferred by programmers. This architecture, however, cannot be extended even to medium systems with hundreds of processors due to bus bandwidth limitations. To scale systems to medium range i. e. , to hundreds of processors, non-bus interconnection networks have been proposed. These systems, for example, use a multistage dynamic interconnection network. Such systems also provide global, shared memory like the UMA systems. However, they introduce local and remote memories, which lead to non-uniform memory access (NUMA) architecture. Distributed-memory architecture is used for systems with thousands of pro cessors. These systems differ from the shared-memory architectures in that there is no globally accessible shared memory. Instead, they use message pass ing to facilitate communication among the processors. As a result, they do not provide single address space.

Download or read book Virtual Shared Memory for Distributed Architectures written by Eva Kühn and published by Nova Publishers. This book was released on 2001 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: Virtual Shared Memory for Distributed Architecture

Download or read book Dynamic task allocation on shared memory multiprocessor systems written by Jiahuang Ji and published by . This book was released on 1990 with total page 22 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Languages Compilers and Run time Environments for Distributed Memory Machines written by J. Saltz and published by Elsevier. This book was released on 2014-06-28 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: Papers presented within this volume cover a wide range of topics related to programming distributed memory machines. Distributed memory architectures, although having the potential to supply the very high levels of performance required to support future computing needs, present awkward programming problems. The major issue is to design methods which enable compilers to generate efficient distributed memory programs from relatively machine independent program specifications. This book is the compilation of papers describing a wide range of research efforts aimed at easing the task of programming distributed memory machines.

Download or read book Distributed Memory Computing written by Arndt Bode and published by Springer. This book was released on 1991 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This volume presents the proceedings of a conference covering European activities in the field of distributed memory computing architectures, programming tools, operating systems, programming languages and applications. New architectures discussed within the framework of several ESPRIT projects are covered as well as the application of a number of European and non-European commercial multiprocessor systems. Research on different interconnection topologies including mesh and hypercubes and on virtual shared memory systems is presented. One of the main topics of the book is tools for programming such architectures (debuggers, performance analysers, visualizers, load balancers, mappers) with the goal of enhancing the productivity of the programmer. Alternative execution models such as systolic arrays and dataflow processors are also addressed."--PUBLISHER'S WEBSITE.

Download or read book Parallel and Distributed Processing written by Jose Rolim and published by Springer Science & Business Media. This book was released on 2000-04-19 with total page 1332 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Parallel Algorithm Derivation and Program Transformation written by Robert Paige and published by Springer Science & Business Media. This book was released on 2007-08-28 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains selected papers from the ONR Workshop on Parallel Algorithm Design and Program Transformation that took place at New York University, Courant Institute, from Aug. 30 to Sept. 1, 1991. The aim of the workshop was to bring together computer scientists in transformational programming and parallel algorithm design in order to encourage a sharing of ideas that might benefit both communities. It was hoped that exposurt: to algorithm design methods developed within the algorithm community would stimulate progress in software development for parallel architectures within the transformational community. It was also hoped that exposure to syntax directed methods and pragmatic programming concerns developed within the transformational community would encourage more realistic theoretical models of parallel architectures and more systematic and algebraic approaches to parallel algorithm design within the algorithm community. The workshop Organizers were Robert Paige, John Reif, and Ralph Wachter. The workshop was sponsored by the Office of Naval Research under grant number N00014-90-J-1421. There were 44 attendees, 28 presentations, and 5 system demonstrations. All attendees were invited to submit a paper for publication in the book. Each submitted paper was refereed by participants from the Workshop. The final decision on publication was made by the editors. There were several motivations for holding the workshop and for publishing papers contributed by its participants. Transformational programming and parallel computation are two emerging fields that may ultimately depend on each other for success.

Download or read book Shared Memory Multiprocessing written by Norihisa Suzuki and published by MIT Press. This book was released on 1992 with total page 534 pages. Available in PDF, EPUB and Kindle. Book excerpt: Shared memory multiprocessors are becoming the dominant architecture for small-scale parallel computation. This book is the first to provide a coherent review of current research in shared memory multiprocessing in the United States and Japan. It focuses particularly on scalable architecture that will be able to support hundreds of microprocessors as well as on efficient and economical ways of connecting these fast microprocessors. The 20 contributions are divided into sections covering the experience to date with multiprocessors, cache coherency, software systems, and examples of scalable shared memory multiprocessors.

Download or read book Embedded Computer Systems Architectures Modeling and Simulation written by Mladen Berekovic and published by Springer Science & Business Media. This book was released on 2008-07-07 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 8th International Workshop on Systems, Architectures, Modeling, and Simulation, SAMOS 2008, held in Samos, Greece, in July 2008. The 24 revised full papers presented together with a contamplative keynote and additional papers of two special workshop sessions were carefully reviewed and selected from 62 submissions. The papers are organized in topical sections on architecture, new frontiers, SoC, application specific contributions, system level design for heterogeneous systems, programming multicores, sensors and sensor networks; and systems modeling and design.

Download or read book High Performance Computing for Computational Science VECPAR 2014 written by Michel Daydé and published by Springer. This book was released on 2015-04-20 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the 11th International Conference on High Performance Computing for Computational Science, VECPAR 2014, held in Eugene, OR, USA, in June/July 2014. The 25 papers presented were carefully reviewed and selected of numerous submissions. The papers are organized in topical sections on algorithms for GPU and manycores, large-scale applications, numerical algorithms, direct/hybrid methods for solving sparse matrices, performance tuning. The volume also contains the papers presented at the 9th International Workshop on Automatic Performance Tuning.

Download or read book PARALLEL COMPUTERS ARCHITECTURE AND PROGRAMMING written by V. Rajaraman, and published by PHI Learning Pvt. Ltd.. This book was released on 2016-03-11 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today all computers, from tablet/desktop computers to super computers, work in parallel. A basic knowledge of the architecture of parallel computers and how to program them, is thus, essential for students of computer science and IT professionals. In its second edition, the book retains the lucidity of the first edition and has added new material to reflect the advances in parallel computers. It is designed as text for the final year undergraduate students of computer science and engineering and information technology. It describes the principles of designing parallel computers and how to program them. This second edition, while retaining the general structure of the earlier book, has added two new chapters, ‘Core Level Parallel Processing’ and ‘Grid and Cloud Computing’ based on the emergence of parallel computers on a single silicon chip popularly known as multicore processors and the rapid developments in Cloud Computing. All chapters have been revised and some chapters are re-written to reflect the emergence of multicore processors and the use of MapReduce in processing vast amounts of data. The new edition begins with an introduction to how to solve problems in parallel and describes how parallelism is used in improving the performance of computers. The topics discussed include instruction level parallel processing, architecture of parallel computers, multicore processors, grid and cloud computing, parallel algorithms, parallel programming, compiler transformations, operating systems for parallel computers, and performance evaluation of parallel computers.

Download or read book Frontiers of High Performance Computing and Networking ISPA 2007 Workshops written by Parimala Thulasiraman and published by Springer Science & Business Media. This book was released on 2007-08-14 with total page 561 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed joint proceedings of seven international workshops held in conjunction with the 5th International Symposium on Parallel and Distributed Processing and Applications, ISPA 2007, held in Niagara Falls, Canada in August 2007. The 53 revised full papers presented were carefully selected from many high quality submissions. The workshops contribute to enlarging the spectrum of the more general topics treated in the ISPA 2007 main conference.

Download or read book Proceedings of the 3rd International Symposium on Big Data and Cloud Computing Challenges ISBCC 16 written by V. Vijayakumar and published by Springer. This book was released on 2016-02-22 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings volume contains selected papers that were presented in the 3rd International Symposium on Big data and Cloud Computing Challenges, 2016 held at VIT University, India on March 10 and 11. New research issues, challenges and opportunities shaping the future agenda in the field of Big Data and Cloud Computing are identified and presented throughout the book, which is intended for researchers, scholars, students, software developers and practitioners working at the forefront in their field. This book acts as a platform for exchanging ideas, setting questions for discussion, and sharing the experience in Big Data and Cloud Computing domain.​

Download or read book IJCAI 97 written by International Joint Conferences on Artificial Intelligence and published by Morgan Kaufmann. This book was released on 1997 with total page 1720 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Algorithms and Architectures for Parallel Processing written by Hai Jin and published by Springer Science & Business Media. This book was released on 2007-05-31 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 7th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2007, held in Hangzhou, China in June 2007. Focusing on two broad areas of parallel and distributed computing, the papers are organized in topical sections on parallel algorithms, parallel architecture, grid computing, peer-to-peer technologies, and advanced network technologies.