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16th international conference on algorithms and architectures for parallel processing, ica3pp 2016

16th International Conference on Algorithms and Architecture...

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16th international conference on algorithms and architectures for parallel processing, ica3pp 2016

ISBN: (纸本)9783319495828

the proceedings contain 52 papers. the special focus in this conference is on parallel, Distributed architectures, Software Systems, Programming, Distributed, Network-Based Computing, Big Data, Its Applications, parallel, Distributed algorithms, Performance Modeling and Evaluation. the topics include: Optimizing execution performance by automatic query relaxation and queue scheduling;hardware-based sequential consistency violation detection made simpler;optimized mapping spiking neural networks onto network-on-chip;a portable lock-free bounded queue;creating distributed execution plans with bobolangng;a new scalable approach for distributed metadata in HPC;enabling android-based devices to high-end GPGPUs;3-additive approximation algorithm for multicast time in 2D torus networks;a novel optical high-radix switch architecture for 3D integration;a platform based on microclouds for neighborhood services;impact of shutdown techniques for energy-efficient cloud data centers;implement and optimization of indoor positioning system based on Wi-Fi signal;road segment information based named data networking for vehicular environments;energy-aware query processing on a parallel database cluster node;current flow betweenness centrality with apache spark;light loss-less data compression, with GPU implementation;a GPU-based backtracking algorithm for permutation combinatorial problems;scaling DBSCAN-like algorithms for event detection systems in twitter;towards parallel CFD computation for the ADAPT framework;leveraging the performance of LBM-HPC for large sizes on GPUs using ghost cells;locality of computation for stencil optimization;an efficient implementation of LZW compression in the FPGA and GPU-based heterogeneous coding architecture for HEVC.

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16th international conference on algorithms and architectures for parallel processing - ica3pp 2016 Collocated Workshops: 1st Workshop on Supercomputing Co-Design Technology, SCDT-2016, 1st international Workshop on theoretical Approaches to Performance Evaluation, Modeling and Simulation, TAPEMS 2016, 1st international Workshop on Trust, Security and Privacy for Big Data, BigTrust 2016, 1st edition of the workshop on Ultrascale Computing for Early Researchers, UCER 2016 and 1st international Workshop on Data Locality in Modern Computing Systems, DLMCS 2016

16th International Conference on Algorithms and Architecture...

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16th international conference on algorithms and architectures for parallel processing - ica3pp 2016 Collocated Workshops: 1st Workshop on Supercomputing Co-Design Technology, SCDT-2016, 1st international Workshop on theoretical Approaches to Performance Evaluation, Modeling and Simulation, TAPEMS 2016, 1st international Workshop on Trust, Security and Privacy for Big Data, BigTrust 2016, 1st edition of the workshop on Ultrascale Computing for Early Researchers, UCER 2016 and 1st international Workshop on Data Locality in Modern Computing Systems, DLMCS 2016

ISBN: (纸本)9783319499550

the proceedings contain 30 papers. the special focus in this conference is on TAPEMS 2016 and BigTrust 2016. the topics include: An in-memory event tracing extension to the open trace format 2;network-aware optimization of MPDATA on homogeneous multi-core clusters with heterogeneous network;formalizing data locality in task parallel applications;improving the energy efficiency of evolutionary multi-objective algorithms;a parallel model for heterogeneous cluster;comparative analysis of OpenACC compilers;traffic sign recognition based on parameter-free detector and multi-modal representation;reversible data hiding using non-local means prediction;secure data access in hadoop using elliptic curve cryptography;statistical analysis of CCM.M-K1 international comparison based on monte carlo method;redundancy elimination in the ExaStencils code generator;a dataflow IR for memory efficient RIPL compilation to FPGAs;exploring a distributed iterative reconstructor based on split bregman using PETSc;implementation of the beamformer algorithm for the NVIDIA jetson;efficiency of GPUs for relational database engine processing;geocon;a middleware for location-aware ubiquitous applications and cellular ANTomata as engines for highly parallel pattern processing.

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algorithms and architectures for parallel processing: ica3pp 2016 collocated workshops: SCDT, TAPEMS, BigTrust, UCER, DLMCS Granada, Spain, December 14-16, 2016 proceedings 16th

Algorithms and architectures for parallel processing: ICA3PP...

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作者： Carretero, Jesus

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Educational and Research Systems for Evaluating the Efficiency of parallel Computations 16th

Educational and Research Systems for Evaluating the Efficien...

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16th international conference on algorithms and architectures for parallel processing (ica3pp)

作者： Gergel, Victor Kozinov, Evgeny Linev, Alexey Shtanyk, Anton Lobachevsky State Univ Nizhni Novgorod Nizhnii Novgorod Russia

ISBN: (纸本)9783319499567;9783319499550

In this paper we consider the educational and research systems that can be used to estimate the efficiency of parallel computing. ParaLab allows parallel computation methods to be studies. With the ParaLib library, we can compare the parallel programming languages and technologies. the Globalizer Lab system is capable of estimating the efficiency of algorithms for solving computationally intensive global optimization problems. these systems can build models of various high-performance systems, formulate the problems to be solved, perform computational experiments in the simulation mode and analyze the results. the crucial matter is that the described systems support a visual representation of the parallel computation process. If combined, these systems can be useful for developing high-performance parallel programs which take the specific features of modern supercomputing systems into account.

关键词： High-performance system parallel computations parallel algorithm Numerical experiment Simulation parallel speedup parallel efficiency

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Generalized Approach to Scalability Analysis of parallel Applications 16th

Generalized Approach to Scalability Analysis of Parallel App...

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16th international conference on algorithms and architectures for parallel processing (ica3pp)

作者： Antonov, Alexander Teplov, Alexey Moscow MV Lomonosov State Univ Moscow Russia

ISBN: (纸本)9783319499567;9783319499550

this article describes an approach to scalability analysis of parallel applications, which is a major part of the algorithm description used in AlgoWiki, the Open Encyclopedia of parallel Algorithmic Features. the proposed approach is based on the suggested definition of generalized scalability of a parallel application. this study uses joined and structured data on an application's execution and supercomputing co-design technologies. parallel application properties are studied by analyzing data collected from all available sources of its dynamic characteristics and information about the hardware and software platforms corresponding with the features of an algorithm and its implementation. this allows reasonable conclusion to be drawn regarding potential reasons of changes in the execution quality for any parallel applications and to compare the scalability of various programs.

关键词： Scalability Dynamic characteristics Efficiency parallel computing Supercomputing co-design

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A parallel Model for Heterogeneous Cluster 16th

A Parallel Model for Heterogeneous Cluster

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16th international conference on algorithms and architectures for parallel processing (ica3pp)

作者： Soares, thiago Marques dos Santos, Rodrigo Weber Lobosco, Marcelo Univ Fed Juiz de Fora Juiz De Fora Brazil

ISBN: (纸本)9783319499567;9783319499550

the LogP model was used to measure the effects of latency, occupancy and bandwidth on distributed memory multiprocessors. the idea was to characterize distributed memory multiprocessor using these key parameters, studying their impacts on performance in simulation environments. this work proposes a new model, based on LogP, that describes the impacts on performance of applications executing on a heterogeneous cluster. this model can be used, in a near future, to help choose the best way to split a parallel application to be executed on this architecture. the model considers that a heterogeneous cluster is composed by distinct types of processors, accelerators and networks.

关键词： Performance modeling parallel architectures Heterogeneous clusters Scheduling

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Towards parallel CFD Computation for the ADAPT Framework 16th

Towards Parallel CFD Computation for the ADAPT Framework

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16th international conference on algorithms and architectures for parallel processing (ica3pp)

作者： Kissami, Imad Cerin, Christophe Benkhaldoun, Fayssal Scarella, Gilles Univ Paris 13 LIPN Ave Jean Baptiste Clement F-93430 Villetaneuse France Univ Paris 13 LAGA 99 Ave Jean Baptiste Clement F-93430 Villetaneuse France

ISBN: (纸本)9783319495835;9783319495828

In order to run Computational Fluid Dynamics (CFD) codes on large scale infrastructures, parallel computing has to be used because of the computational intensive nature of the problems. In this paper we investigate the ADAPT platform where we couple flow Partial Differential Equations and a Poisson equation. this leads to a linear system which we solve using direct methods. the implementation deals with the MUMPS parallel multi-frontal direct solver and mesh partitioning methods using METIS to improve the performance of the framework. We also investigate, in this paper, how the mesh partitioning methods are able to optimize the mesh cell distribution for the ADAPT solver. the experience gained in this paper facilitates the move to a Service Oriented view of ADAPT as future work.

关键词： Unstructured mesh Mesh partitioning parallel direct solver Multi-frontal method MUMPS METIS Multi-physics Multi-scale and multilevel algorithms

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Improving Hash Distributed A* for Shared Memory architectures Using Abstraction 16th

Improving Hash Distributed A* for Shared Memory Architecture...

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16th international conference on algorithms and architectures for parallel processing (ica3pp)

作者： Sanz, Victoria De Giusti, Armando Naiouf, Marcelo Natl Univ La Plata Sch Comp Sci III LIDI La Plata Argentina Minist Sci Technol & Product Innovat CONICET Buenos Aires DF Argentina

ISBN: (纸本)9783319495835;9783319495828

the A* algorithm is generally used to solve combinatorial optimization problems, but it requires high computing power and a large amount of memory, hence, efficient parallel A* algorithms are needed. In this sense, Hash Distributed A* (HDA*) parallelizes A* by applying a decentralized strategy and a hash-based node distribution scheme. However, this distribution scheme results in frequent node transfers among processors. In this paper, we present Optimized AHDA*, a version of HDA* for shared memory architectures, that uses an abstraction-based node distribution scheme and a technique to group several nodes before transferring them to the corresponding thread. Both methods reduce the amount of node transfers and mitigate communication and contention. We assess the effect of each technique on algorithm performance. Finally, we evaluate the scalability of the proposed algorithm, when it is run on a multicore machine, using the 15-puzzle as a case study.

关键词： HDA* for shared memory architectures Abstraction-based node distribution scheme Hash-based node distribution scheme Scalability Combinatorial optimization problems

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Formalizing Data Locality in Task parallel Applications 16th

Formalizing Data Locality in Task Parallel Applications

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16th international conference on algorithms and architectures for parallel processing (ica3pp)

作者： Ceballos, German Hagersten, Erik Black-Schaffer, David Uppsala Univ Dept Informat Technol Uppsala Sweden

ISBN: (纸本)9783319499567;9783319499550

Task-based programming provides programmers with an intuitive abstraction to express parallelism, and runtimes with the flexibility to adapt the schedule and load-balancing to the hardware. Although many profiling tools have been developed to understand these characteristics, the interplay between task scheduling and data reuse in the cache hierarchy has not been explored. these interactions are particularly intriguing due to the flexibility task-based runtimes have in scheduling tasks, which may allow them to improve cache behavior. this work presents StatTask, a novel statistical cache model that can predict cache behavior for arbitrary task schedules and cache sizes from a single execution, without programmer annotations. StatTask enables fast and accurate modeling of data locality in task-based applications for the first time. We demonstrate the potential of this new analysis to scheduling by examining applications from the BOTS benchmarks suite, and identifying several important opportunities for reuse-aware scheduling.

关键词： Task-based Cache modeling Performance model

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Creating Distributed Execution Plans with BobolangNG 16th

Creating Distributed Execution Plans with BobolangNG

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16th international conference on algorithms and architectures for parallel processing (ica3pp)

作者： Bednarek, David Krulis, Martin Yaghob, Jakub Zavoral, Filip Charles Univ Prague Fac Math & Phys Parallel Architectures Algorithms Applicat Res Gr Malostranske Nam 25 Prague Czech Republic

ISBN: (纸本)9783319495835;9783319495828

Execution plans constitute the traditional interface between DBMS front-ends and back-ends;similar networks of interconnected operators are found also outside database systems. Tasks like adapting execution plans for distributed or heterogeneous runtime environments require a plan transformation mechanism which is simple enough to produce predictable results while general enough to express advanced communication schemes required for instance in skew-resistant partitioning. In this paper, we describe the BobolangNG language designed to express execution plans as well as their transformations, based on hierarchical models known from many environments but enhanced with a novel compile-time mechanism of component multiplication. Compared to approaches based on general graph rewriting, the plan transformation in BobolangNG is not iterative;therefore the consequences and limitations of the process are easier to understand and the development of distribution strategies and experimenting with distributed plans are easier and safer.

关键词： Execution plan Distributed computing Partitioning Distributed database Datalog Modeling language

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