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检索条件"任意字段=2003 ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming"

共 560 条记录，以下是121-130 订阅

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Performance Analysis of parallel Constraint-Based Local Search 12

Performance Analysis of Parallel Constraint-Based Local Sear...

引用

17th acm sigplan symposium on principles and practice of parallel programming

作者： Caniou, Yves Diaz, Daniel Richoux, Florian Codognet, Philippe Abreu, Salvador Univ Paris 01 F-75231 Paris 05 France Univ Tokyo CNRS JFLI UPMC Tokyo 1138654 Japan Univ Evora Evora Portugal

ISBN: (纸本)9781450311601

We present a parallel implementation of a constraint-based local search algorithm and investigate its performance results for hard combinatorial optimization problems on two different platforms up to several hundreds of cores. On a variety of classical CSPs benchmarks, speedups are very good for a few tens of cores, and good up to a hundred cores. More challenging problems derived from real-life applications (Costas array) shows even better speedups, nearly optimal up to 256 cores.

关键词： Experimentation Performance Algorithms combinatorial optimization meta-heuristics parallelism implementation Constraints local search

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DOJ: Dynamically parallelizing Object-Oriented Programs 12

DOJ: Dynamically Parallelizing Object-Oriented Programs

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17th acm sigplan symposium on principles and practice of parallel programming

作者： Eom, Yong Hun Yang, Stephen Jenista, James C. Demsky, Brian Univ Calif Irvine Irvine CA 92717 USA

ISBN: (纸本)9781450311601

We present Dynamic Out-of-Order Java (DOJ), a dynamic parallelization approach. In DOJ, a developer annotates code blocks as tasks to decouple these blocks from the parent execution thread. The DOJ compiler then analyzes the code to generate heap examiners that ensure the parallel execution preserves the behavior of the original sequential program. Heap examiners dynamically extract heap dependences between code blocks and determine when it is safe to execute a code block. We have implemented DOJ and evaluated it on twelve benchmarks. We achieved an average compilation speedup of 31.15x over OoOJava and an average execution speedup of 12.73x over sequential versions of the benchmarks.

关键词： Algorithms Performance parallel programming Dynamic Analysis Object-Oriented Analysis Heap Analysis parallelization

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Establishing a Miniapp as a Programmability Proxy 12

Establishing a Miniapp as a Programmability Proxy

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17th acm sigplan symposium on principles and practice of parallel programming

作者： Stone, Andrew I. Dennis, John M. Strout, Michelle Mills Colorado State Univ Ft Collins CO 80523 USA Natl Ctr Atmospher Res Boulder CO USA

ISBN: (纸本)9781450311601

Miniapps serve as test beds for prototyping and evaluating new algorithms, data structures, and programming models before incorporating such changes into larger applications. For the miniapp to accurately predict how a prototyped change would affect a larger application it is necessary that the miniapp be shown to serve as a proxy for that larger application. Although many benchmarks claim to proxy the performance for a set of large applications, little work has explored what criteria must be met for a benchmark to serve as a proxy for examining programmability. In this poster we describe criteria that can be used to establish that a miniapp serves as a performance and programmability proxy.

关键词： Languages Measurement Performance Programmability Proxy miniapp benchmark POP conjugate gradient parallel programming

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OpenCL as a Unified programming Model for Heterogeneous CPU/GPU Clusters 12

OpenCL as a Unified Programming Model for Heterogeneous CPU/...

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17th acm sigplan symposium on principles and practice of parallel programming

作者： Kim, Jungwon Seo, Sangmin Lee, Jun Nah, Jeongho Jo, Gangwon Lee, Jaejin Seoul Natl Univ Sch Comp Sci & Engn Ctr Manycore Programming Seoul 151744 South Korea

ISBN: (纸本)9781450311601

In this paper, we propose an OpenCL framework for heterogeneous CPU/GPU clusters, and show that the framework achieves both high performance and ease of programming. The framework provides an illusion of a single system for the user. It allows the application to utilize multiple heterogeneous compute devices, such as multicore CPUs and GPUs, in a remote node as if they were in a local node. No communication API, such as the MPI library, is required in the application source. We implement the OpenCL framework and evaluate its performance on a heterogeneous CPU/GPU cluster that consists of one host node and nine compute nodes using eleven OpenCL benchmark applications.

关键词： Algorithm Design Experimentation Languages Measurement Performance OpenCL Clusters Heterogeneous computing programming models

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LogGPS: A parallel computational model for synchronization analysis 01

LogGPS: A parallel computational model for synchronization a...

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8th acm sigplan symposium on the principles and practice of parallel Computing

作者： Ino, F Fujimoto, N Hagihara, K Osaka Univ Grad Sch Engn Sci Osaka 5608531 Japan

ISBN: (纸本)9781581133462

We present a new parallel computational model, named Log-GPS, which captures synchronization. The LogGPS model is an extension of the LogGP model, which abstracts communication on parallel platforms. Although the LogGP model captures long messages with one bandwidth parameter (G), it does not capture synchronization that is needed before sending a long message by high-level communication libraries. Our model has one additional parameter, S, defined as the threshold for message length, above which synchronous messages are sent. We also present some experimental results using both models. The results include (1) a verification of the LogGPS model, (2) an example of synchronization analysis using an MPI program and (3) a comparison of the models. The results indicate that the LogGPS model is more accurate than the LogGP model, and analyzing synchronization costs is important when improving parallel program performance.

关键词： parallel processing systems

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Transforming high-level data-parallel programs into vector operations 93

Transforming high-level data-parallel programs into vector o...

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4th acm sigplan symposium on principles and practice of parallel programming, PPOPP 1993

作者： Prins, Jan F. Palmer, Daniel W. Department of Computer Science University of North Carolina Chapel HillNC27599-3175 United States

ISBN: (纸本)0897915895

Efficient parallel execution of a high-level data-parallel language based on nested sequences, higher order functions and generalized iterators can be realized in the vector model using a suitable representation of nested sequences and a small set of transformational rules to distribute iterators through the constructs of the language. © 1993 acm.

关键词： Metadata

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Modeling wildcard-free MPI programs for verification 05

Modeling wildcard-free MPI programs for verification

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2005 acm sigplan symposium on principles and Practise of parallel programming, PROPP 05

作者： Siegel, Stephen F. Avrunin, George S. Department of Computer Science University of Massachusetts Amherst MA 01003 Department of Mathematics University of Massachusetts Amherst MA 01003

ISBN: (纸本)9781595930804

We give several theorems that can be used to substantially reduce the state space that must be considered in applying finite-state verification techniques, such as model checking, to parallel programs written using a subset of MPI. We illustrate the utility of these theorems by applying them to a small but realistic example. Copyright 2005 acm.

关键词： Computer programming

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POSTER: Graph partitioning applied to DAG scheduling to reduce NUMA effects 23

POSTER: Graph partitioning applied to DAG scheduling to redu...

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23rd acm sigplan symposium on principles and practice of parallel programming (PPoPP)

作者： Sanchez Barrera, Isaac Casas, Marc Moreto, Miguel Ayguade, Eduard Labarta, Jesus Valero, Mateo Univ Politecn Cataluna Barcelona Supercomp Ctr Barcelona Spain

ISBN: (纸本)9781450349826

The complexity of shared memory systems is becoming more relevant as the number of memory domains increases, with different access latencies and bandwidth rates depending on the proximity between the cores and the devices containing the data. In this context, techniques to manage and mitigate non-uniform memory access (NUMA) effects consist in migrating threads, memory pages or both and are typically applied by the system software. We propose techniques at the runtime system level to reduce NUMA effects on parallel applications. We leverage runtime system metadata in terms of a task dependency graph. Our approach, based on graph partitioning methods, is able to provide parallel performance improvements of 1.12x on average with respect to the state-of-the-art.

关键词： shared memory scheduling task-based programming model NUMA graph partitioning

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AUTOMATIC ALIGNMENT OF ARRAY DATA AND PROCESSES TO REDUCE COMMUNICATION TIME ON DMPPS 95

AUTOMATIC ALIGNMENT OF ARRAY DATA AND PROCESSES TO REDUCE CO...

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

作者： PHILIPPSEN, M ICSI International Computer Science Institute Berkeley CA and Dept. of Informatics University of Karlsruhe

ISBN: (纸本)9780897917001

This paper investigates the problem of aligning array data and processes in a distributed-memory implementation. We present complete algorithms for compile-time analysis, the necessary program restructuring, and subsequent code-generation, and discuss their complexity. We finally evaluate the practical usefulness by quantitative experiments. The technique presented analyzes complete programs, including branches, loops, and nested parallelism. Alignment is determined with respect to offset, stride, and general ass's relations. Pplacement of both data and processes are computed in a unifying framework based on an extended preference graph and its analysis. Dynamic redistributions are derived. The experimental results are very encouraging. The optimization algorithms implemented in our Modula-2* compiler improved the execution times of the programs by an average over 40% on a MasPar MP-1 with 16384 processors.

关键词： parallel processing systems

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parallelizing dynamic programming through rank convergence 14

Parallelizing dynamic programming through rank convergence

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

作者： Maleki, Saeed Musuvathi, Madanlal Mytkowicz, Todd Univerity of Illinois at Urbana-Champaign United States Microsoft Research United States

ISBN: (纸本)9781450326568

This paper proposes an efficient parallel algorithm for an important class of dynamic programming problems that includes Viterbi, Needleman-Wunsch, Smith-Waterman, and Longest Common Subsequence. In dynamic programming, the subproblems that do not depend on each other, and thus can be computed in parallel, form stages or wavefronts. The algorithm presented in this paper provides additional parallelism allowing multiple stages to be computed in parallel despite dependences among them. The correctness and the performance of the algorithm relies on rank convergence properties of matrix multiplication in the tropical semiring, formed with plus as the multiplicative operation and max as the additive operation. This paper demonstrates the efficiency of the parallel algorithm by showing significant speed ups on a variety of important dynamic programming problems. In particular, the parallel Viterbi decoder is up-to 24× faster (with 64 processors) than a highly optimized commercial baseline. Copyright © 2014 acm.

关键词： Dynamic programming

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