Download or read book Optimizing Partitioned Global Address Space Programs for Cluster Architectures written by Wei-Yu Chen and published by . This book was released on 2007 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Optimizing HPC Applications with Intel Cluster Tools written by Alexander Supalov and published by Apress. This book was released on 2014-10-09 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimizing HPC Applications with Intel® Cluster Tools takes the reader on a tour of the fast-growing area of high performance computing and the optimization of hybrid programs. These programs typically combine distributed memory and shared memory programming models and use the Message Passing Interface (MPI) and OpenMP for multi-threading to achieve the ultimate goal of high performance at low power consumption on enterprise-class workstations and compute clusters. The book focuses on optimization for clusters consisting of the Intel® Xeon processor, but the optimization methodologies also apply to the Intel® Xeon Phi™ coprocessor and heterogeneous clusters mixing both architectures. Besides the tutorial and reference content, the authors address and refute many myths and misconceptions surrounding the topic. The text is augmented and enriched by descriptions of real-life situations.

Download or read book Optimizing Irregular Data Accesses for Cluster and Multicore Architectures written by Jimmy Zhigang Su and published by . This book was released on 2010 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applications with irregular accesses to shared state are one of the most challenging computational patterns in parallel computing. Accesses can involve both read or write operations, with writes having the additional complexity of requiring some form of synchronization. Irregular accesses perform poorly in local cached-based memory systems and across networks in global distributed memory settings, because they have poor spatial and temporal locality. Irregular accesses arises in transaction processing, in various system level programs, in computing histograms, performing sparse matrix operations, updating meshes in particle-mesh methods, and building adaptive unstructured meshes. Writing codes with asynchronous parallel updates on clusters and multicore processors presents different sets of challenges. On clusters, the goal is to minimize the number of messages and the volume of messages between nodes. While on multicore machines, the goal is to minimize off-chip accesses since there is significant performance difference between on chip and off chip memory access. In this dissertation, we explore various analyses, optimizations, and tools for shared accesses on both multicore and distributed memory cluster architectures. On cluster architectures, we consider both irregular reads and writes, demonstrate how Partitioned Global Address Space languages support programming irregular problems, and develop optimizations to minimize communication traffic, both in volume and number of distinct events. On multicore processors, we consider the lower level code generation and tuning problem, independent of any particular source language. We explore performance tradeoffs between various shared update implementations, such as locking, replication of state to avoid collisions, and hybrid versions. We develop an adaptive implementation that adjusts the shared update strategy based on densities that yields significant speedups. In addition, we develop a performance debugging tool to find scalability problems in large scientific applications early in the development cycle. Throughout the thesis we perform experiments demonstrating the value of our optimizations and tools in both architectural settings, use a set of benchmarks and applications that include histogram making, sparse matrix computations, and two scientific simulations involving particle-mesh methods. Our results show substantial speeds of up to 4.8X for multicore platforms and 120X for clusters. The results are a comprehensive set of techniques for improving the performance of irregular applications using advanced languages, compilers, analyses, optimizations and tools.

Download or read book Euro Par 2014 Parallel Processing Workshops written by Luís Lopes and published by Springer. This book was released on 2014-12-10 with total page 636 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volumes LNCS 8805 and 8806 constitute the thoroughly refereed post-conference proceedings of 18 workshops held at the 20th International Conference on Parallel Computing, Euro-Par 2014, in Porto, Portugal, in August 2014. The 100 revised full papers presented were carefully reviewed and selected from 173 submissions. The volumes include papers from the following workshops: APCI&E (First Workshop on Applications of Parallel Computation in Industry and Engineering - BigDataCloud (Third Workshop on Big Data Management in Clouds) - DIHC (Second Workshop on Dependability and Interoperability in Heterogeneous Clouds) - FedICI (Second Workshop on Federative and Interoperable Cloud Infrastructures) - Hetero Par (12th International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms) - HiBB (5th Workshop on High Performance Bioinformatics and Biomedicine) - LSDVE (Second Workshop on Large Scale Distributed Virtual Environments on Clouds and P2P) - MuCoCoS (7th International Workshop on Multi-/Many-core Computing Systems) - OMHI (Third Workshop on On-chip Memory Hierarchies and Interconnects) - PADAPS (Second Workshop on Parallel and Distributed Agent-Based Simulations) - PROPER (7th Workshop on Productivity and Performance) - Resilience (7th Workshop on Resiliency in High Performance Computing with Clusters, Clouds, and Grids) - REPPAR (First International Workshop on Reproducibility in Parallel Computing) - ROME (Second Workshop on Runtime and Operating Systems for the Many Core Era) - SPPEXA (Workshop on Software for Exascale Computing) - TASUS (First Workshop on Techniques and Applications for Sustainable Ultrascale Computing Systems) - UCHPC (7th Workshop on Un Conventional High Performance Computing) and VHPC (9th Workshop on Virtualization in High-Performance Cloud Computing.

Download or read book Scalable Task Parallel Programming in the Partitioned Global Address Space written by James Scott Dinan and published by . This book was released on 2010 with total page 121 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: Applications that exhibit irregular, dynamic, and unbalanced parallelism are growing in number and importance in the computational science and engineering communities. These applications span many domains including computational chemistry, physics, biology, and data mining. In such applications, the units of computation are often irregular in size and the availability of work may be depend on the dynamic, often recursive, behavior of the program. Because of these properties, it is challenging for these programs to achieve high levels of performance and scalability on modern high performance clusters.

Download or read book Evaluation of Global Address Space Programming Model on Cluster Architectures written by Mary Jacob and published by . This book was released on 2004 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Task Scheduling for Multi core and Parallel Architectures written by Quan Chen and published by Springer. This book was released on 2017-11-23 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents task-scheduling techniques for emerging complex parallel architectures including heterogeneous multi-core architectures, warehouse-scale datacenters, and distributed big data processing systems. The demand for high computational capacity has led to the growing popularity of multicore processors, which have become the mainstream in both the research and real-world settings. Yet to date, there is no book exploring the current task-scheduling techniques for the emerging complex parallel architectures. Addressing this gap, the book discusses state-of-the-art task-scheduling techniques that are optimized for different architectures, and which can be directly applied in real parallel systems. Further, the book provides an overview of the latest advances in task-scheduling policies in parallel architectures, and will help readers understand and overcome current and emerging issues in this field.

Download or read book Dissertation Abstracts International written by and published by . This book was released on 2008 with total page 850 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Euro Par 2011 Parallel Processing written by Emmanuel Jeannot and published by Springer Science & Business Media. This book was released on 2011-08-12 with total page 627 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 6852/6853 constitutes the refereed proceedings of the 17th International Euro-Par Conference held in Bordeaux, France, in August/September 2011. The 81 revised full papers presented were carefully reviewed and selected from 271 submissions. The papers are organized in topical sections on support tools and environments; performance prediction and evaluation; scheduling and load-balancing; high-performance architectures and compilers; parallel and distributed data management; grid, cluster and cloud computing; peer to peer computing; distributed systems and algorithms; parallel and distributed programming; parallel numerical algorithms; multicore and manycore programming; theory and algorithms for parallel computation; high performance networks and mobile ubiquitous computing.

Download or read book Optimizing Task Distribution and Shared variable Accesses in an Asynchronous partitioned global address space Programming Model written by Jeeva S. Paudel and published by . This book was released on 2015 with total page 67 pages. Available in PDF, EPUB and Kindle. Book excerpt: High-performance programming systems employ a wide range of techniques to improve the performance of parallel and distributed applications on large scale machines. This dissertation identifies a novel opportunity of load balancing, proposes a new approach for workload distribution, and presents a profiling-based framework to automatically select coherence protocols aimed at specific patterns of shared-variable accesses. These approaches strike a balance between the tight budgets for run-time optimization and the exposition of new opportunities to improve the running time of applications. A prototype designed to evaluate these ideas is integrated into the X10 programming system. An empirical evaluation of these ideas, using large applications with diverse patterns of parallelism and communication, indicates that they can be applied widely and that they have significant performance merits.

Download or read book Parallel Computing Architectures and APIs written by Vivek Kale and published by CRC Press. This book was released on 2019-12-06 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: Parallel Computing Architectures and APIs: IoT Big Data Stream Processing commences from the point high-performance uniprocessors were becoming increasingly complex, expensive, and power-hungry. A basic trade-off exists between the use of one or a small number of such complex processors, at one extreme, and a moderate to very large number of simpler processors, at the other. When combined with a high-bandwidth, interprocessor communication facility leads to significant simplification of the design process. However, two major roadblocks prevent the widespread adoption of such moderately to massively parallel architectures: the interprocessor communication bottleneck, and the difficulty and high cost of algorithm/software development. One of the most important reasons for studying parallel computing architectures is to learn how to extract the best performance from parallel systems. Specifically, you must understand its architectures so that you will be able to exploit those architectures during programming via the standardized APIs. This book would be useful for analysts, designers and developers of high-throughput computing systems essential for big data stream processing emanating from IoT-driven cyber-physical systems (CPS). This pragmatic book: Devolves uniprocessors in terms of a ladder of abstractions to ascertain (say) performance characteristics at a particular level of abstraction Explains limitations of uniprocessor high performance because of Moore’s Law Introduces basics of processors, networks and distributed systems Explains characteristics of parallel systems, parallel computing models and parallel algorithms Explains the three primary categorical representatives of parallel computing architectures, namely, shared memory, message passing and stream processing Introduces the three primary categorical representatives of parallel programming APIs, namely, OpenMP, MPI and CUDA Provides an overview of Internet of Things (IoT), wireless sensor networks (WSN), sensor data processing, Big Data and stream processing Provides introduction to 5G communications, Edge and Fog computing Parallel Computing Architectures and APIs: IoT Big Data Stream Processing discusses stream processing that enables the gathering, processing and analysis of high-volume, heterogeneous, continuous Internet of Things (IoT) big data streams, to extract insights and actionable results in real time. Application domains requiring data stream management include military, homeland security, sensor networks, financial applications, network management, web site performance tracking, real-time credit card fraud detection, etc.

Download or read book Proceedings of the 4th Many Core Applications Research Community MARC Symposium written by Peter Tröger and published by Universitätsverlag Potsdam. This book was released on 2012 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: In continuation of a successful series of events, the 4th Many-core Applications Research Community (MARC) symposium took place at the HPI in Potsdam on December 8th and 9th 2011. Over 60 researchers from different fields presented their work on many-core hardware architectures, their programming models, and the resulting research questions for the upcoming generation of heterogeneous parallel systems.

Download or read book Soft Computing Theories and Applications written by Tarun K. Sharma and published by Springer Nature. This book was released on 2021-07-30 with total page 734 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on soft computing and how it can be applied to solve real-world problems arising in various domains, ranging from medicine and healthcare, to supply chain management, image processing and cryptanalysis. It gathers high-quality papers presented at the International Conference on Soft Computing: Theories and Applications (SoCTA 2020), organized online. The book is divided into two volumes and offers valuable insights into soft computing for teachers and researchers alike; the book will inspire further research in this dynamic field.

Download or read book Analysis of Partitioned Global Address Space Programs written by Amir Kamil and published by . This book was released on 2006 with total page 62 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Big Data Management and Processing written by Kuan-Ching Li and published by CRC Press. This book was released on 2017-05-19 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the Foreword: "Big Data Management and Processing is [a] state-of-the-art book that deals with a wide range of topical themes in the field of Big Data. The book, which probes many issues related to this exciting and rapidly growing field, covers processing, management, analytics, and applications... [It] is a very valuable addition to the literature. It will serve as a source of up-to-date research in this continuously developing area. The book also provides an opportunity for researchers to explore the use of advanced computing technologies and their impact on enhancing our capabilities to conduct more sophisticated studies." ---Sartaj Sahni, University of Florida, USA "Big Data Management and Processing covers the latest Big Data research results in processing, analytics, management and applications. Both fundamental insights and representative applications are provided. This book is a timely and valuable resource for students, researchers and seasoned practitioners in Big Data fields. --Hai Jin, Huazhong University of Science and Technology, China Big Data Management and Processing explores a range of big data related issues and their impact on the design of new computing systems. The twenty-one chapters were carefully selected and feature contributions from several outstanding researchers. The book endeavors to strike a balance between theoretical and practical coverage of innovative problem solving techniques for a range of platforms. It serves as a repository of paradigms, technologies, and applications that target different facets of big data computing systems. The first part of the book explores energy and resource management issues, as well as legal compliance and quality management for Big Data. It covers In-Memory computing and In-Memory data grids, as well as co-scheduling for high performance computing applications. The second part of the book includes comprehensive coverage of Hadoop and Spark, along with security, privacy, and trust challenges and solutions. The latter part of the book covers mining and clustering in Big Data, and includes applications in genomics, hospital big data processing, and vehicular cloud computing. The book also analyzes funding for Big Data projects.

Download or read book Multicore Processors and Systems written by Stephen W. Keckler and published by Springer Science & Business Media. This book was released on 2009-08-29 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multicore Processors and Systems provides a comprehensive overview of emerging multicore processors and systems. It covers technology trends affecting multicores, multicore architecture innovations, multicore software innovations, and case studies of state-of-the-art commercial multicore systems. A cross-cutting theme of the book is the challenges associated with scaling up multicore systems to hundreds of cores. The book provides an overview of significant developments in the architectures for multicore processors and systems. It includes chapters on fundamental requirements for multicore systems, including processing, memory systems, and interconnect. It also includes several case studies on commercial multicore systems that have recently been developed and deployed across multiple application domains. The architecture chapters focus on innovative multicore execution models as well as infrastructure for multicores, including memory systems and on-chip interconnections. The case studies examine multicore implementations across different application domains, including general purpose, server, media/broadband, network processing, and signal processing. Multicore Processors and Systems is the first book that focuses solely on multicore processors and systems, and in particular on the unique technology implications, architectures, and implementations. The book has contributing authors that are from both the academic and industrial communities.

Download or read book Evolving OpenMP for Evolving Architectures written by Bronis R. de Supinski and published by Springer. This book was released on 2018-09-19 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 14th International Workshop on Open MP, IWOMP 2018, held in Barcelona, Spain, in September 2018. The 16 full papers presented in this volume were carefully reviewed and selected for inclusion in this book. The papers are organized in topical sections named: best paper; loops and OpenMP; OpenMP in heterogeneous systems; OpenMP improvements and innovations; OpenMP user experiences: applications and tools; and tasking evaluations.