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46 篇 会议

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检索条件"任意字段=25th International European Conference on Parallel and Distributed Computing, Euro-Par 2019"

共 46 条记录，以下是11-20 订阅

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FLY: A Domain-Specific Language for Scientific computing on FaaS 25th

FLY: A Domain-Specific Language for Scientific Computing on ...

引用

25th international conference on parallel and distributed computing (euro-par)

作者： Cordasco, Gennaro D'Auria, Matteo Negro, Alberto Scarano, Vittorio Spagnuolo, Carmine Univ Campania Dipartimento Psicol Caserta Italy Univ Salerno Dipartimento Informat Fisciano Italy

ISBN: (纸本)9783030483401;9783030483395

Cloud computing is widely recognized as distributed computing paradigm for the next generation of dynamically scalable applications. Recently a novel service model, called Function-as-a-Service (FaaS), has been proposed, that enables users to exploit the computational power of cloud infrastructures, without the need to configure and manage complex computations systems. FaaS paradigm represents an opportunity to easily develop and execute extreme-scale applications as it allows fine-grain decomposition of the application with a much more efficient scheduling on cloud provider infrastructure. We introduce FLY, a domain-specific language for designing, deploying and executing scientific computing applications by exploiting the FaaS service model on different cloud infrastructures. In this paper, we present the design and the language definition of FLY on several computing (local and FaaS) back-ends: Symmetric multiprocessing (SMP), Amazon AWS Lambda, Microsoft Azure Functions, Google Cloud Functions, and IBM Bluemix/Apache OpenWhisk. We also present the first FLY source-to-source compiler, publicly available on Github, which supports SMP and AWS back-ends.

关键词： Domain-Specific Languages Scientific computing parallel computing distributed computing Serverless computing Functions as a Service (FaaS)

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Improving the Runtime Performance of Non-linear Mixed-Effects Model Estimation 25th

Improving the Runtime Performance of Non-linear Mixed-Effect...

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25th international conference on parallel and distributed computing (euro-par)

作者： Haber, Tom van Reeth, Frank Hasselt Univ Expertise Ctr Digital Media Hasselt Belgium

ISBN: (纸本)9783030483401;9783030483395

Non-linear mixed effects models (NLMEM) are frequently used in drug development for pharmacokinetic (PK) and pharmacokinetic-pharmacodynamic (PK-PD) analyses. parameter estimation for these models can be time-consuming due to the need for numerical integration. Additionally, the structural model is often expressed using differential equations requiring computationally intensive time-stepping ODE solvers. Overall, this often leads to long computation times in the order of hours or even days. Combining the right mathematical tools as well as techniques from computer science, the computational cost can be significantly reduced. In this paper, several approaches are detailed for improving the performance of parameter estimation for NLMEM. Applying these, often easy, techniques can lead to an order of magnitude speedup.

关键词： Non-linear Mixed effects models High-performance computing parallel

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Towards a Trusted Support Platform for the Job Placement Task 25th

Towards a Trusted Support Platform for the Job Placement Tas...

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25th international conference on parallel and distributed computing (euro-par)

作者： Dubovitskaya, Alevtina Mazzola, Luca Denzler, Alexander Hoschschule Luzern Informat HSLU I Suurstoffi 41b CH-6343 Risch Rotkreuz Switzerland

ISBN: (纸本)9783030483401;9783030483395

HR tech is a new trend in the hiring process, still facing some inefficiencies and limits. this paper sketches a high level architecture of a trusted support platform for the job placement task. Our design is based on a multifaceted analysis of current practices and requirements from technical, legal, and social perspectives. Relying on the properties of intelligent data analysis approaches, blockchain technology, and distributed identity management, this solution will enable optimisation, compliance, and improvements of the candidate selection process for job openings. the outcomes of the current work will be further applied for the identification of data formats and specific technologies to be used for the implementation. Practical use-cases are currently under development with industry partners.

关键词： HR tech Job placement distributed ledger Blockchain Data validation People analytics Automatic matching Self-sovereign identity

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Linear Systems Solvers for distributed-Memory Machines with GPU Accelerators 25th

Linear Systems Solvers for Distributed-Memory Machines with ...

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25th international conference on parallel and distributed computing (euro-par)

作者： Kurzak, Jakub Gates, Mark Charara, Ali YarKhan, Asim Yamazaki, Ichitaro Dongarra, Jack Univ Tennessee Knoxville TN 37996 USA Oak Ridge Natl Lab POB 2009 Oak Ridge TN 37831 USA Univ Manchester Manchester M13 9PL Lancs England

ISBN: (纸本)9783030294007;9783030293994

this work presents two implementations of linear solvers for distributed-memory machines with GPU accelerators one based on the Cholesky factorization and one based on the LU factorization with partial pivoting. the routines are developed as part of the Software for Linear Algebra Targeting Exascale (SLATE) package, which represents a sharp departure from the traditional conventions established by legacy packages, such as LAPACK and ScaLAPACK. the article lays out the principles of the new approach, discusses the implementation details, and presents the performance results.

关键词： Linear algebra distributed memory Linear systems of equations Cholesky factorization LU factorization GPU acceleration

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Load-Balancing for parallel Delaunay Triangulations 25th

Load-Balancing for Parallel Delaunay Triangulations

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25th international conference on parallel and distributed computing (euro-par)

作者： Funke, Daniel Sanders, Peter Winkler, Vincent Karlsruhe Inst Technolgy Karlsruhe Germany

ISBN: (纸本)9783030294007;9783030293994

computing the Delaunay triangulation (DT) of a given point set in R-D is one of the fundamental operations in computational geometry. Recently, Funke and Sanders [11] presented a divide-and-conquer DT algorithm that merges two partial triangulations by re-triangulating a small subset of their vertices - the border vertices - and combining the three triangulations efficiently via parallel hash table lookups. the input point division should therefore yield roughly equal-sized partitions for good load-balancing and also result in a small number of border vertices for fast merging. In this paper, we present a novel divide-step based on partitioning the triangulation of a small sample of the input points. In experiments on synthetic and real-world data sets, we achieve nearly perfectly balanced partitions and small border triangulations. this almost cuts running time in half compared to non-datasensitive division schemes on inputs exhibiting an exploitable underlying structure.

关键词： Triangulation

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A Novel Data-Centric Programming Model for Large-Scale parallel Systems 25th

A Novel Data-Centric Programming Model for Large-Scale Paral...

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25th international conference on parallel and distributed computing (euro-par)

作者： Talia, Domenico Trunfio, Paolo Marozzo, Fabrizio Belcastro, Loris Garcia-Blas, Javier del Rio, David Couvee, Philippe Goret, Gael Vincent, Lionel Fernandez-Pena, Alberto Martin de Blas, Daniel Nardi, Mirko Pizzuti, Teresa Spataru, Adrian Justyna, Marek Univ Calabria Arcavacata Di Rende Italy Univ Carlos III Madrid Madrid Spain Atos BDS R&D Data Management Echirolles France Inst Invest Sanitaria Gregorio Maranon Madrid Spain INTEGRIS Rome Italy Inst E Austria Timisoara Timisoara Romania PSNC Poznan Poland

ISBN: (纸本)9783030483401;9783030483395

this paper presents the main features and the programming constructs of the DCEx programming model designed for the implementation of data-centric large-scale parallel applications on Exascale computing platforms. To support scalable parallelism, the DCEx programming model employs private data structures and limits the amount of shared data among parallel threads. the basic idea of DCEx is structuring programs into data-parallel blocks to be managed by a large number of parallel threads. parallel blocks are the units of shared- and distributed-memory parallel computation, communication, and migration in the memory/storage hierarchy. threads execute close to data using near-data synchronization according to the PGAS model. A use case is also discussed showing the DCEx features for Exascale programming.

关键词： Large-scale parallelism Exascale systems Data-centric applications

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Optimization of Data-parallel Applications on Heterogeneous HPC Platforms for Dynamic Energy through Workload Distribution 25th

Optimization of Data-Parallel Applications on Heterogeneous ...

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25th international conference on parallel and distributed computing (euro-par)

作者： Khaleghzadeh, Hamidreza Fahad, Muhammad Manumachu, Ravi Reddy Lastovetsky, Alexey Univ Coll Dublin Sch Comp Sci Dublin 4 Ireland

ISBN: (纸本)9783030483401;9783030483395

Energy is one of the most important objectives for optimization on modern heterogeneous high performance computing (HPC) platforms. the tight integration of multicore CPUs with accelerators in these platforms present several challenges to optimization of multithreaded data-parallel applications for dynamic energy. In this work, we formulate the optimization problem of data-parallel applications on heterogeneous HPC platforms for dynamic energy through workload distribution. We propose a solution method to solve the problem. It consists of a data-partitioning algorithm that employs load imbalancing technique to determine the workload distribution minimizing the dynamic energy consumption of the parallel execution of an application. the inputs to the algorithm are discrete dynamic energy profiles of individual computing devices. We experimentally analyse the proposed algorithm using two multithreaded data-parallel applications, matrix multiplication and 2D fast Fourier transform. the load-imbalanced solutions provided by the algorithm achieve significant dynamic energy reductions (on the average 130% and 44%) compared to the load-balanced ones for the applications.

关键词： High performance computing Heterogeneous platforms Energy of computation Multicore CPU GPU Xeon Phi

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In Situ Visualization of Performance-Related Data in parallel CFD Applications 25th

In Situ Visualization of Performance-Related Data in Paralle...

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25th international conference on parallel and distributed computing (euro-par)

作者： Alves, Rigel F. C. Knuepfer, Andreas Tech Univ Dresden Ctr Informat Serv & High Performance Comp ZIH D-01062 Dresden Germany

ISBN: (纸本)9783030483401;9783030483395

this paper aims at investigating the feasibility of using paraView as visualization software for the analysis and optimization of parallel CFD codes' performance. the currently available software tools for reading profiling data do not match the generated measurements to the simulation's original mesh and somehow aggregate them (rather than showing them on a time-step basis). A plugin for the open-source performance tool Score-P has been developed, which intercept an arbitrary number of manually selected code regions (mostly functions) and send their respective measurements - amount of executions and cumulative time spent - to paraView (through its in situ library, Catalyst), as if they were any other flow-related variable. Results show that (i) the impact of mesh partition algorithms on code performance and (ii) the load imbalances (and their eventual relationship to mesh size/simulation physics) become easier to investigate.

关键词： parallel computing Performance analysis In situ processing

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Implementing Yewpar: A Framework for parallel Tree Search 25th

Implementing YewPar: A Framework for Parallel Tree Search

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25th international conference on parallel and distributed computing (euro-par)

作者： Archibald, Blair Maier, Patrick Stewart, Robert Trinder, Phil Univ Glasgow Sch Comp Sci Glasgow G12 8QQ Lanark Scotland Heriot Watt Univ Math & Comp Sci Edinburgh Midlothian Scotland Sheffield Hallam Univ Dept Comp Sheffield S Yorkshire England

ISBN: (纸本)9783030294007;9783030293994

Combinatorial search is central to many applications yet hard to parallelise. We argue for improving the reuse of parallel searches, and present the design and implementation of a new parallel search framework. Yewpar generalises search by abstracting search tree generation, and by providing algorithmic skeletons that support three search types, together with a set of search coordination strategies. the evaluation shows that the cost of Yewpar generality is low (6.1%);global knowledge is inexpensively shared between workers;irregular tasks are effectively distributed;and Yewpar delivers good runtimes, speedups and efficiency with up to 255 workers on 17 localities.

关键词： Exact combinatorial search parallel search HPX

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Hardware Counters' Space Reduction for Code Region Characterization 25th

Hardware Counters' Space Reduction for Code Region Character...

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25th international conference on parallel and distributed computing (euro-par)

作者： Alcaraz, Jordi Sikora, Anna Cesar, Eduardo Univ Autonoma Barcelona Cerdanyola Del Valles Barcelona Spain

ISBN: (纸本)9783030294007;9783030293994

this work proposes that parallel code regions in an OpenMP application can be characterized using a signature composed by the values of a set of hardware performance counters. Our proposal is aimed towards dynamic tuning and, consequently, the metrics must be collected at execution time, which limits the number of metrics that can be measured. therefore, our main contribution is the definition of a methodology to determine a reduced set of hardware performance counters that can be measured at application's execution time and that still contains enough information to characterize a parallel region. the proposed methodology is based on principal component analysis and linear correlation analysis. Preliminary results show that it can be used to successfully reduce the number of hardware counters needed to characterize a parallel region, and that this set of counters can be measured at run time with high accuracy and low overhead using counter multiplexing.

关键词： Performance analysis Hardware counters parallel/distributed applications

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