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检索条件"任意字段=Proceedings of the 14th ACM SIGPLAN symposium on Principles and practice of parallel programming"

共 360 条记录，以下是181-190 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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Compiling CHR to parallel hardware 12

Compiling CHR to parallel hardware

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14th symposium on principles and practice of Declarative programming, PPDP 2012

作者： Triossi, Andrea Orlando, Salvatore Raffaetà, Alessandra Frühwirth, thom DAIS Università Ca'Foscari Venezia Italy Inst. for Software Engineering and Compiler Construction Ulm University Germany

ISBN: (纸本)9781450315227

this paper investigates the compilation of a committed-choice rulebased language, Constraint Handling Rules (CHR), to specialized hardware circuits. the developed hardware is able to turn the intrinsic concurrency of the language into parallelism. Rules are applied by a custom executor that handles constraints according to the best degree of parallelism the implemented CHR specification can offer. Our framework deploys the target digital circuits through the Field Programmable Gate Array (FPGA) technology, by first compiling the CHR code fragment into a low level hardware description language. We also discuss the realization of a hybrid CHR interpreter, consisting of a software component running on a general purpose processor, coupled with a hardware accelerator. the latter unburdens the processor by executing in parallel the most computational intensive CHR rules directly compiled in hardware. Finally the performance of a prototype system is evaluated by time efficiency measures. Copyright © 2012 acm.

关键词： Field programmable gate arrays (FPGA)

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An Overview of Medusa: Simplified Graph Processing on GPUs 12

An Overview of Medusa: Simplified Graph Processing on GPUs

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

作者： Zhong, Jianlong He, Bingsheng Nanyang Technol Univ Singapore 639798 Singapore

ISBN: (纸本)9781450311601

Graphs are the de facto data structures for many applications, and efficient graph processing is a must for the application performance. GPUs have an order of magnitude higher computational power and memory bandwidth compared to CPUs and have been adopted to accelerate several common graph algorithms. However, it is difficult to write correct and efficient GPU programs and even more difficult for graph processing due to the irregularities of graph structures. To address those difficulties, we propose a programming framework named Medusa to simplify graph processing on GPUs. Medusa offers a small set of APIs, based on which developers can define their application logics by writing sequential code without awareness of GPU architectures. the Medusa runtime system automatically executes the developer defined APIs in parallel on the GPU, with a series of graph-centric optimizations. this poster gives an overview of Medusa, and presents some preliminary results.

关键词： Algorithms Performance GPGPU GPU programming Graph Processing Runtime Framework

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Linear dependent types in a call-by-value scenario 12

Linear dependent types in a call-by-value scenario

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14th symposium on principles and practice of Declarative programming, PPDP 2012

作者： Dal Lago, Ugo Petit, Barbara INRIA Università di Bologna Italy

ISBN: (纸本)9781450315227

Linear dependent types [11] allow to precisely capture both the extensional behavior and the time complexity of λ-terms, when the latter are evaluated by Krivine's abstract machine. In this work, we show that the same paradigm can be applied to call-by-value computation. A system of linear dependent types for Plotkin's PCF is introduced, called dPCFV, whose types reflect the complexity of evaluating terms in the so-called CEK machine. dPCFV is proved to be sound, but also relatively complete: every true statement about the extensional and intentional behavior of terms can be derived, provided all true index term inequalities can be used as assumptions. Copyright © 2012 acm.

关键词： Functional programming

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Using GPU's to Accelerate Stencil-based Computation Kernels for the Development of Large Scale Scientific Applications on Heterogeneous Systems 12

Using GPU's to Accelerate Stencil-based Computation Kernels ...

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

作者： Tao, Jian Blazewicz, Marek Brandt, Steven R. Louisiana State Univ Ctr Computat & Technol Baton Rouge LA 70803 USA Poznan Supercomp & Networking Ctr Applicat Dept Poznan Poland

ISBN: (纸本)9781450311601

We present CaCUDA - a GPGPU kernel abstraction and a parallel programming framework for developing highly efficient large scale scientific applications using stencil computations on hybrid CPU/GPU architectures. CaCUDA is built upon the Cactus computational toolkit, an open source problem solving environment designed for scientists and engineers. Due to the flexibility and extensibility of the Cactus toolkit, the addition of a GPGPU programming framework required no changes to the Cactus infrastructure, guaranteeing that existing features and modules will continue to work without modification. CaCUDA was tested and benchmarked using a 3D CFD code based on a finite difference discretization of Navier-Stokes equations.

关键词： Algorithms Design Languages GPGPU programming Computational Framework HPC Stencil Computation

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Goal-directed execution of answer set programs 12

Goal-directed execution of answer set programs

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14th symposium on principles and practice of Declarative programming, PPDP 2012

作者： Marple, Kyle Bansal, Ajay Min, Richard Gupta, Gopal University of Texas at Dallas 800 W. Campbell Road Richardson TX United States Arizona State University 7231 E. Sonoran Arroyo Mall Mesa AZ United States

ISBN: (纸本)9781450315227

Answer Set programming (ASP) represents an elegant way of introducing non-monotonic reasoning into logic programming. ASP has gained popularity due to its applications to planning, default reasoning and other areas of AI. However, none of the approaches and current implementations for ASP are goal-directed. In this paper we present a technique based on coinduction that can be employed to design SLD resolution-style, goal-directed methods for executing answer set *** also discuss advantages and applications of such goal-directed execution of answer set programs, and report results from our implementation. Copyright © 2012 acm.

关键词： Logic programming

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PPDP'12 - proceedings of the 2012 acm sigplan principles and practice of Declarative programming

PPDP'12 - Proceedings of the 2012 ACM SIGPLAN Principles and...

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14th symposium on principles and practice of Declarative programming, PPDP 2012

ISBN: (纸本)9781450315227

the proceedings contain 19 papers. the topics discussed include: symbolic evaluation graphs and term rewriting a general methodology for analyzing logic programs;automatic synthesis of specifications for first order curry programs;goal-directed execution of answer set programs;layered fixed point logic;a polynomial time ?-calculus with multithreading and side effects;modeling datalog fact assertion and retraction in linear logic;regular expression sub-matching using partial derivatives;functional semantics of parsing actions, and left recursion elimination as continuation passing;linear dependent types in a call-by-value scenario;transparent function types: clearing up opacity;exception handling for copyless messaging;declarative distributed advertisement system for iDTV: an industrial experience;task-oriented programming in a pure functional language;and a linear concurrent constraint approach for the automatic verification of access permissions.

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