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检索条件"任意字段=Proceedings of the 5th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming"

共 340 条记录，以下是61-70 订阅

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Exploiting Global Optimizations for OpenMP Programs in the OpenUH Compiler

Exploiting Global Optimizations for OpenMP Programs in the O...

引用

14th acm sigplan symposium on principles and practice of parallel programming

作者： Huang, Lei Eachempati, Deepak Hervey, Marcus W. Chapman, Barbara Univ Houston Dept Comp Sci Houston TX 77004 USA

ISBN: (纸本)9781605583976

the advent of new parallel architectures has increased the need for parallel optimizing compilers to assist developers in creating efficient code. OpenUH is a state-of-the-art optimizing compiler, but it only performs a limited set of optimizations for OpenMP programs due to its conservative assumptions of shared memory programming. these limitations may prevent some OpenMP applications from being fully optimized to the extent of its sequential counterpart. this paper describes our design and implementation of a parallel data flow framework, consisting of a parallel Control Flow Graph (PCFG) and a parallel SSA (PSSA) representation in OpenUH, to model data flow for OpenMP programs. this framework enables the OpenUH compiler to perform all classical scalar optimizations for OpenMP programs, in addition to conducting OpenMP specific optimizations.

关键词： Language Performance theory Compiler Analysis OpenMP parallel SSA

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Reducing Contention through Priority Updates 13

Reducing Contention Through Priority Updates

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18th acm sigplan symposium on principles and practice of parallel programming

作者： Shun, Julian Blelloch, Guy E. Fineman, Jeremy T. Gibbons, Phillip B. Carnegie Mellon Univ Pittsburgh PA 15213 USA Georgetown Univ Washington DC 20057 USA Intel Labs Pittsburgh PA USA

No abstract available.

ISBN: (纸本)9781450319225

No abstract available.

关键词： Experimentation Performance parallel programming Contention

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OPTIMAL MAPPING OF SEQUENCES OF DATA-parallel TASKS 95

OPTIMAL MAPPING OF SEQUENCES OF DATA-PARALLEL TASKS

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5th acm sigplan symposium on principles and practice of parallel programming

作者： SUBHLOK, J VONDRAN, G HEWLETT PACKARD CORP ADV LASER JET OPERAT BOISE ID 83714 USA

ISBN: (纸本)9780897917001

Many applications in a variety of domains including digital signal processing, image processing, and computer vision are composed of a sequence of tasks that act on a stream of input data sets in a pipelined manner. Recent research has established that these applications are best mapped to a massively parallel machine by dividing the tasks into modules and assigning a subset of the available processors to each module. this paper addresses the problem of optimally mapping such applications onto a massively parallel machine. We formulate the problem of optimizing throughput in task pipelines and present two new solution algorithms. the formulation uses a general and realistic model for inter-task communication, takes memory constraints into account, and addresses the entire problem of mapping which includes clustering tasks into modules, assignment of processors to modules, and possible replication of modules. the first algorithm is based on dynamic programming and finds the optimal mapping of k tasks onto P processors in O(P(4)k(2)) time. We also present a heuristic algorithm that is linear in the number of processors and establish with theoretical and practical results that the solutions obtained are optimal in practical situations. the entire framework is implemented as an automatic mapping tool for the Fx parallelizing compiler for High Performance Fortran. We present experimental results that demonstrate the importance of choosing a good mapping and show that the methods presented yield efficient mappings and predict optimal performance accurately.

关键词： parallel processing systems

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User-controllable coherence for high performance shared memory multiprocessors 03

User-controllable coherence for high performance shared memo...

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9th acm sigplan symposium on principles and practice of parallel programming

作者： McCurdy, C Fischer, C Univ Wisconsin Dept Comp Sci Madison WI 53706 USA

ISBN: (纸本)9781581135886

In programming high performance applications, shared address-space platforms are preferable for fine-grained computation, while distributed address-space platforms are more suitable for coarse-grained computation. However, currently only distributed address-space systems scale beyond the low hundreds of processors. In this paper we introduce a hybrid architecture that allows users to trade off local memory usage for coherence communication, making possible larger-scale shared memory architectures. We introduce a programming model and examine possible implementations of hardware mechanisms, evaluating some of the trade-offs inherent in each. Preliminary experiments on an application with particularly fine-grained communication requirements indicate that effective placement of directives can reduce coherence communication by more than a factor of 10 for 64 processors.

关键词： performance design languages parallel computation shared memory architectures distributed memory architectures irregular computation

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Provably good scheduling for parallel programs that use data structures through implicit batching 14

Provably good scheduling for parallel programs that use data...

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2014 19th acm sigplan symposium on principles and practice of parallel programming, PPoPP 2014

作者： Agrawal, Kunal Fineman, Jeremy T. Sheridan, Brendan Sukha, Jim Utterback, Robert Washington University in Saint Louis United States Georgetown University United States Intel Corporation United States

this poster proposes an efficient runtime scheduler that provides provable performance guarantees to parallel programs that use data structures through the use of implicit batching.

ISBN: (纸本)9781450326568

this poster proposes an efficient runtime scheduler that provides provable performance guarantees to parallel programs that use data structures through the use of implicit batching.

关键词： Data structures

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parallel and Distributed Bounded Model Checking of Multi-threaded Programs 20

Parallel and Distributed Bounded Model Checking of Multi-thr...

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25th acm sigplan symposium on principles and practice of parallel programming (PPoPP)

作者： Inverso, Omar Trubiani, Catia Gran Sasso Sci Inst Laquila Italy

ISBN: (纸本)9781450368186

We introduce a structure-aware parallel technique for context-bounded analysis of concurrent programs. the key intuition consists in decomposing the set of concurrent traces into symbolic subsets that are separately explored by multiple instances of the same decision procedure running in parallel. the decision procedures work on different partitions of the search space without cooperating, whence distribution follows effortlessly. Our experiments on a selection of complex multi-threaded programs show significant analysis speedups and scalability, and greater performance gains than with general-purpose parallel solvers.

关键词： Concurrency Multithreading Sequentialization Software Verification parallel Analysis Bounded Model Checking SAT

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Swift/T: Scalable Data Flow programming for Many-Task Applications 13

Swift/T: Scalable Data Flow Programming for Many-Task Applic...

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18th acm sigplan symposium on principles and practice of parallel programming

作者： Wozniak, Justin M. Armstrong, Timothy G. Wilde, Michael Katz, Daniel S. Lusk, Ewing Foster, Ian T. Argonne Natl Lab Argonne IL 60439 USA Univ Chicago Chicago IL 60637 USA

Swift/T, a novel programming language implementation for highly scalable data flow programs, is presented.

ISBN: (纸本)9781450319225

Swift/T, a novel programming language implementation for highly scalable data flow programs, is presented.

关键词： Languages MPI ADLB Swift Turbine exascale concurrency dataflow futures

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Turbocharging Boosted Transactions or: How I Learnt to Stop Worrying and Love Longer Transactions

Turbocharging Boosted Transactions or: How I Learnt to Stop ...

引用

14th acm sigplan symposium on principles and practice of parallel programming

作者： Kulkarni, Chinmay Unsal, Osman Cristal, Adrian Ayguade, Eduard Valero, Mateo Birla Inst Technol & Sci Pilani Rajasthan India Tech Univ Catalunya Catalunya Spain

ISBN: (纸本)9781605583976

Boosted transactions offer an attractive method that enables programmers to create larger transactions that scale well and offer deadlock-free guarantees. However, as boosted transactions get larger, they become more susceptible to conflicts and aborts. We describe a linear-time algorithm to detect transactions that cannot make progress, which transactions need to be aborted, and when. the algorithm guarantees zero false positives with minimal aborts. Our proposals, as implemented in DSTM2, increase the transactional throughput of the system, often by more than 30%.

关键词： Algorithms Performance Concurrency parallel programming transactional memory deadlocks deadlock-detection

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Flattening and parallelizing irregular, recurrent loop nests 95

Flattening and parallelizing irregular, recurrent loop nests

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proceedings of the 5th acm sigplan symposium on principles and practice of parallel programming

作者： Ghuloum, Anwar M. Fisher, Allan L. Carnegie Mellon Univ Pittsburgh PA United States

ISBN: (纸本)9780897917001

Irregular loop nests in which the loop bounds are determined dynamically by indexed arrays are difficult to compile into expressive parallel constructs, such as segmented scans and reductions. In this paper, we describe a suite of transformations to automatically parallelize such irregular loop nests, even in the presence of recurrences. We describe a simple, general loop flattening transformation, along with new optimizations which make it a viable compiler transformation. A robust recurrence parallelization technique is coupled to the loop flattening transformation, allowing parallelization of segmented reductions, scans, and combining-sends over arbitrary associative operators. We discuss the implementation and performance results of the transformations in a parallelizing Fortran 77 compiler for the Cray C90 supercomputer. In particular, we focus on important sparse matrix-vector multiplication kernels, for one of which we are able to automatically derive an algorithm used by one of the fastest library routines available.

关键词： parallel processing systems

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Software caching and computation migration in Olden 95

Software caching and computation migration in Olden

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proceedings of the 5th acm sigplan symposium on principles and practice of parallel programming

作者： Carlisle, Martin C. Rogers, Anne Princeton Univ Princeton NJ United States

ISBN: (纸本)9780897917001

the goal of the Olden project is to build a system that provides parallelism for general purpose C programs with minimal programmer annotations. We focus on programs using dynamic structures such as trees, lists, and DAGs. We demonstrate that providing both software caching and computation migration can improve the performance of these programs, and provide a compile-time heuristic that selects between them for each pointer dereference. We have implemented a prototype system on the thinking Machines CM-5. We describe our implementation and report on experiments with ten benchmarks.

关键词： parallel processing systems

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