Download or read book An Integrated Compiler run time System for Global Data Distribution in Distributed Shared Memory Systems written by Gregory Monroe Shopmaker Howard and published by . This book was released on 1998 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Languages Compilers and Run Time Systems for Scalable Computers written by Sandhya Dwarkadas and published by Springer. This book was released on 2003-07-31 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the strictly refereed post-workshop proceedings of the 5th International Workshop on Languages, Compilers, and Run-Time Systems for Scalable Computing, LCR 2000, held in Rochester, NY, USA in May 2000. The 22 revised full papers presented were carefully reviewed and selected from 38 submissions. The papers are organized in topical sections on data-intensive computing, static analysis, openMP support, synchronization, software DSM, heterogeneous/-meta-computing, issues of load, and compiler-supported parallelism.

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 Languages Compilers and Run Time Systems for Scalable Computers written by Boleslaw K. Szymanski and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: Language, Compilers and Run-time Systems for Scalable Computers contains 20 articles based on presentations given at the third workshop of the same title, and 13 extended abstracts from the poster session. Starting with new developments in classical problems of parallel compiler design, such as dependence analysis and an exploration of loop parallelism, the book goes on to address the issues of compiler strategy for specific architectures and programming environments. Several chapters investigate support for multi-threading, object orientation, irregular computation, locality enhancement, and communication optimization. Issues of the interface between language and operating system support are also discussed. Finally, the load balance issues are discussed in different contexts, including sparse matrix computation and iteratively balanced adaptive solvers for partial differential equations. Some additional topics are also discussed in the extended abstracts. Each chapter provides a bibliography of relevant papers and the book can thus be used as a reference to the most up-to-date research in parallel software engineering.

Download or read book Languages Compilers and Run time Systems for Scalable Computers written by and published by . This book was released on 2000 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Compiler and Runtime Optimizations for Fine grained Distributed Shared Memory Systems written by Ronald Sander Veldema and published by . This book was released on 2003 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Shared Memory Synchronization written by Michael Lee Scott and published by Springer Nature. This book was released on 2024 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Zusammenfassung: This book offers a comprehensive survey of shared-memory synchronization, with an emphasis on "systems-level" issues. It includes sufficient coverage of architectural details to understand correctness and performance on modern multicore machines, and sufficient coverage of higher-level issues to understand how synchronization is embedded in modern programming languages. The primary intended audience for this book is "systems programmers"--the authors of operating systems, library packages, language run-time systems, concurrent data structures, and server and utility programs. Much of the discussion should also be of interest to application programmers who want to make good use of the synchronization mechanisms available to them, and to computer architects who want to understand the ramifications of their design decisions on systems-level code

Download or read book Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications written by Hamid R. Arabnia and published by . This book was released on 1998 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Compiler and Runtime Support for Efficient and Scalable Big Data Processing written by Khanh Truong Duy Nguyen and published by . This book was released on 2019 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt: Large-scale data analytical applications such as social network analysis and web analysis have revolutionized modern computing. The processing demand posed by an unprecedented amount of data challenges both industrial practitioners and academia researchers to design and implement highly efficient and scalable system infrastructures. However, Big Data processing is fundamentally limited by inefficiencies inherent with the underlying programming languages. While offering several invaluable benefits, a managed runtime comes with time and space overheads. In large-scale systems, the runtime system cost can be easily magnified and become the critical performance bottleneck. Our experience with dozens of real-world systems reveals the root cause is the mismatch between the fundamental assumptions based on which the current runtime is designed and the characteristics of modern data-intensive workloads. This dissertation consists of a series of techniques, spanning programming model, compiler, and runtime system, that can efficiently mitigate the mismatches in real-world systems, and hence, significantly improve the efficiency of various aspects of Big Data processing. Specifically, this dissertation makes the following three contributions. The first contribution is the development of a framework named Facade aiming to reduce the cost of object-based representation without an intrusive modification of a JVM. Facade uses a compiler to generate highly efficient data manipulation code by automatically transforming classes in such a way that objects are created only as proxies. Facade advocates for the separation of data storage and data manipulation. The execution model enforces a statically-bounded total number of data objects in an application regardless of how much data it processes. The second contribution is the design and implementation of Yak, the first hybrid garbage collector tailored for Big Data systems. Yak provides high throughput and low latency for all JVM-based languages by adapting its algorithms to two vastly different types of object lifetime behaviors in Big Data applications. Finally, the third contribution is a JVM-based alternative to enable instantaneous data transfer across nodes in clusters called Skyway. Skyway optimizes away inefficiencies of relying on reflection - a heavy runtime operation, and handcrafted procedures in converting data format by transferring objects as-is, without changing much of their existing format. We have extensively evaluated those compiler and runtime techniques in several real-world, widely-deployed systems. The results show significant improvement of the system over the baseline: faster execution, reduced memory management costs, and improved scalability. The techniques are also highly practical and easy to integrate without much user efforts, making the adoption in real setting possible. The work has inspired a line of several follow-up work from academia. Moreover, the Yak system has been adopted by a telecommunication company.

Download or read book Languages Compilers and Run Time Systems for Scalable Computers written by David O'Hallaron and published by Springer. This book was released on 2003-06-29 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the strictly refereed post-workshop proceedings of the 4th International Workshop on Languages, Compilers, and Run-Time Systems for Scalable Computing, LCR '98, held in Pittsburgh, PA, USA in May 1998. The 23 revised full papers presented were carefully selected from a total of 47 submissions; also included are nine refereed short papers. All current issues of developing software systems for parallel and distributed computers are covered, in particular irregular applications, automatic parallelization, run-time parallelization, load balancing, message-passing systems, parallelizing compilers, shared memory systems, client server applications, etc.

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.

Download or read book Compiling Global Name space Programs for Distributed Execution written by Charles Koelbel and published by . This book was released on 1990 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "Distributed memory machines do not provide hardware support for a global address space. Thus programmers are forced to partition the data across the memories of the architecture and use explicit message passing to communicate data between processors. In this paper we focus on the compiler support required to allow programmers to express their algorithms using a global name-space. We present a general method for analysis of a high level source program and its translation to a set of independently executing tasks communicating via messages. If the compiler has enough information, this translation can be carried out at compile-time. Otherwise run-time code is generated to implement the required data movement. We describe the analysis required in both situations and present the performance of the generated code on the Intel iPSC/2."

Download or read book Conference Proceedings of the 2001 International Conference on Supercomputing written by and published by . This book was released on 2001 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1995 with total page 704 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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.

Download or read book Conference Proceedings written by and published by . This book was released on 1992 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book First IEEE ACM IFIP International Conference on Hardware Software Codesign System Synthesis written by and published by . This book was released on 2003 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: