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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61-70 订阅

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programming parallel Embedded and Consumer Applications in OpenMP Superscalar 12

Programming Parallel Embedded and Consumer Applications in O...

引用

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

作者： Andersch, Michael Chi, Chi Ching Juurlink, Ben TU Berlin D-10587 Berlin Germany

In this paper, we evaluate the performance and usability of the parallel programming model OpenMP Superscalar (OmpSs), apply it to 10 different benchmarks and compare its performance with corresponding POSIX threads i... 详细信息

ISBN: (纸本)9781450311601

关键词： Algorithms Design Measurement Performance OpenMP Superscalar OmpSs Embedded Consumer

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Automatic placement of communications in mesh-partitioning parallelization 97

Automatic placement of communications in mesh-partitioning p...

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6th acm sigplan symposium on principles and practice of parallel programming

作者： Hascoet, L INRIA Sophia-Antipolis B.P. 93 06902 Sophia-Antipolis France

ISBN: (纸本)9780897919067

We present a tool for mesh-partitioning parallelization of numerical programs working iteratively on an unstructured mesh. This conventional method splits a mesh into sub-meshes, adding some overlap on the boundaries of the sub-meshes. The program is then run in SPMD mode on a parallel architecture with distributed memory. It is necessary to add calls to communication routines at a few carefully selected locations in the code. The tool presented here uses the data-dependence information to mechanize the placement of these synchronizations. Additionally, we see that there is not a unique solution for placing these synchronizations, and performance depends on this choice.

关键词： parallel processing systems

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Intra-Application Shared Cache Partitioning For Multithreaded Applications

Intra-Application Shared Cache Partitioning For Multithreade...

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15th acm sigplan symposium on principles and practice of parallel programming

作者： Muralidhara, Sai Prashanth Kandemir, Mahmut Raghavan, Padma Penn State Univ University Pk PA 16802 USA

In this paper, we address the problem of partitioning a shared cache when the executing threads belong to the same application.

ISBN: (纸本)9781605587080

In this paper, we address the problem of partitioning a shared cache when the executing threads belong to the same application.

关键词： Cache Multicore parallel Applications

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Applying the Concurrent Collections programming Model to Asynchronous parallel Dense Linear Algebra

Applying the Concurrent Collections Programming Model to Asy...

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15th acm sigplan symposium on principles and practice of parallel programming

作者： Chandramowlishwaran, Aparna Knobe, Kathleen Vuduc, Richard Georgia Inst Technol Atlanta GA 30332 USA Intel Corp Santa Clara CA 95051 USA

ISBN: (纸本)9781605587080

This poster is a case study on the application of a novel programming model, called Concurrent Collections (CnC), to the implementation of an asynchronous-parallel algorithm for computing the Cholesky factorization of dense matrices. In CnC, the programmer expresses her computation in terms of application-specific operations, partially-ordered by semantic scheduling constraints. We demonstrate the performance potential of CnC in this poster, by showing that our Cholesky implementation nearly matches or exceeds competing vendor-tuned codes and alternative programming models. We conclude that the CnC model is well-suited for expressing asynchronous-parallel algorithms on emerging multicore systems.

关键词： Algorithms Performance

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ARMI: An adaptive, platform independent communication library 03

ARMI: An adaptive, platform independent communication librar...

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

作者： Saunders, S Rauchwerger, L Texas A&M Univ Dept Comp Sci College Stn TX 77843 USA

ISBN: (纸本)9781581135886

ARMI is a communication library that provides a framework for expressing fine-grain parallelism and mapping it to a particular machine using shared-memory and message passing library calls. The library is an advanced implementation of the RMI protocol and handles low-level details such as scheduling incoming communication and aggregating outgoing communication to coarsen parallelism when necessary. These details can be tuned for different platforms to allow user codes to achieve the highest performance possible without manual modification. ARMI is used by STAPL, our generic parallel library, to provide a portable, user transparent communication layer, We present the basic design as well as the mechanisms used in the current Pthreads/OpenMP, MPI implementations and/or a combination thereof. Performance comparisons between ARMI and explicit use of Pthreads or MPI are given on a variety of machines, including an HP V2200, SGI Origin 3800, IBM Regatta-HPC and IBM RS6000 SP cluster.

关键词： languages RMI MPI pthreads OpenMP RPC run-time system communication library parallel programming

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Using Butterfly-Patterned Partial Sums to Draw from Discrete Distributions 17

Using Butterfly-Patterned Partial Sums to Draw from Discrete...

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22nd acm sigplan symposium on principles and practice of parallel programming (PPoPP)

作者： Steele, Guy L., Jr. Tristan, Jean-Baptiste Oracle Labs Ludhiana Punjab India

ISBN: (纸本)9781450344937

We describe a SIMD technique for drawing values from multiple discrete distributions, such as sampling from the random variables of a mixture model, that avoids computing a complete table of partial sums of the relative probabilities. A table of alternate ("butterfly-patterned") form is faster to compute, making better use of coalesced memory accesses;from this table, complete partial sums are computed on the fly during a binary search. Measurements using CUBA 7.5 on an NVIDIA Titan Black GPU show that this technique makes an entire machine-learning application that uses a Latent Dirichlet Allocation topic model with 1024 topics about about 13% faster (when using single-precision floating-point data) or about 35% faster (when using double precision floating-point data) than doing a straightforward matrix transposition after using coalesced accesses.

关键词： butterfly coalesced memory access discrete distribution GPU latent Dirichlet allocation LDA machine learning multithreading memory bottleneck parallel computing random sampling SIMD transposed memory access

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Active Pebbles: A programming Model For Highly parallel Fine-Grained Data-Driven Computations 11

Active Pebbles: A Programming Model For Highly Parallel Fine...

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16th acm symposium on principles and practice of parallel programming

作者： Willcock, Jeremiah Hoefler, Torsten Edmonds, Nicholas Lumsdaine, Andrew Indiana Univ Bloomington IN 47405 USA Univ Illinois Urbana IL 61801 USA

ISBN: (纸本)9781450301190

A variety of programming models exist to support large-scale, distributed memory, parallel computation. These programming models have historically targeted coarse-grained applications with natural locality such as those found in a variety of scientific simulations of the physical world. Fine-grained, irregular, and unstructured applications such as those found in biology, social network analysis, and graph theory are less well supported. We propose Active Pebbles, a programming model which allows these applications to be expressed naturally;an accompanying execution model ensures performance and scalability.

关键词： Performance Design Irregular applications programming models active messages

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MAPA: An Automatic Memory Access Pattern Analyzer for GPU Applications 22

MAPA: An Automatic Memory Access Pattern Analyzer for GPU Ap...

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22nd acm sigplan symposium on principles and practice of parallel programming (PPoPP)

作者： Jo, Gangwon Jung, Jaehoon Park, Jiyoung Lee, Jaejin Seoul Natl Univ Ctr Manycore Programming Dept Comp Sci & Engn Seoul 08826 South Korea

ISBN: (纸本)9781450344937

Various existing optimization and memory consistency management techniques for GPU applications rely on memory access patterns of kernels. However, they suffer from poor practicality because they require explicit user interventions to extract kernel memory access patterns. This paper proposes an automatic memory-access-pattern analysis framework called MAPA. MAPA is based on a source-level analysis technique derived from traditional symbolic analyses and a run-time pattern selection technique. The experimental results show that MAPA properly analyzes 116 real-world OpenCL kernels from Rodinia and Parboil.

关键词： Auto-tuning Compiler GPGPU Memory access pattern OpenCL Optimization Symbolic analysis

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An Infrastructure for Dynamic Optimization of parallel Programs 12

An Infrastructure for Dynamic Optimization of Parallel Progr...

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

作者： Noll, Albert Gross, Thomas R. Swiss Fed Inst Technol Zurich Switzerland

ISBN: (纸本)9781450311601

Object-oriented programming languages like Java provide only low-level constructs (e.g., starting a thread) to describe concurrency. High-level abstractions (e.g., thread pools) are merely provided as a library. As a result, a compiler is not aware of the high-level semantics of a parallel library and therefore misses important optimization opportunities. This paper presents a simple source language extension based on which a compiler can perform new optimizations that are particularly effective for parallel code.

关键词： Performance Languages parallel programming performance JIT compilation

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Compactly representing parallel program executions 03

Compactly representing parallel program executions

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

作者： Goel, A Roychoudhury, A Mitra, T Natl Univ Singapore Sch Comp Singapore 117543 Singapore

ISBN: (纸本)9781581135886

Collecting a program's execution profile is important for many reasons: code optimization, memory layout, program debugging and program comprehension. Path based execution profiles are more detailed than count based execution profiles, since they present the order of execution of the various blocks in a program: modules, procedures, basic blocks etc. Recently, online string compression techniques have been employed for collecting compact representations of sequential program executions. In this paper, we show how a similar approach can be taken for shared memory parallel programs. Our compaction scheme yields one to two orders of magnitude compression compared to the uncompressed parallel program trace on some of the SPLASH benchmarks. Our compressed execution traces contain detailed information about synchronization and control/data flow which can be exploited for post-mortem analysis. In particular, information in our compact execution traces are useful for accurate data race detection (detecting unsynchronized shared variable accesses that occurred in the execution).

关键词： algorithms measurement path profiling program path compression dynamic program analysis

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