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检索条件"主题词=parallel programming model"

共 52 条记录，以下是31-40 订阅

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Characterizing Fine-Grain parallelism on Modern Multicore Platform

Characterizing Fine-Grain Parallelism on Modern Multicore Pl...

引用

17th IEEE International Conference on parallel and Distributed Systems (ICPADS)

作者： Chen, Xuhao Chen, Wei Li, Jiawen Zheng, Zhong Shen, Li Wang, Zhiying Natl Univ Def Technol Sch Comp Changsha 410073 Hunan Peoples R China

ISBN: (纸本)9780769545769

Since chip multiprocessors have dominated the processor market, developing a parallel programming model with proper trade-off between productivity and efficiency become increasingly important. As a typical fine-grain parallelism model, Intel Threading Building Blocks (TBB) simplifies parallel programming by runtime schedule. Despite its simplicity, it costs non-trivial runtime overhead which may increase as the thread counts increase. In this work, we conduct an experiment on real commodity hardware to evaluate performance scalability of TBB using PARSEC benchmark suite. We first compare TBB with Pthreads to show that TBB applications can achieve comparable performance as Pthreads applications. To find the performance bottleneck of TBB applications, we measure the runtime overhead of TBB focused on 3 basic TBB runtime activities. The result provides valuable implications which can be used to develop scalable runtime libraries and architectural support for alleviating performance bottlenecks.

关键词： chip multiprocessor parallel programming model fine-grain parallelism Intel TBB runtime schedule

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parallelization Research of Algorithm for Detecting Borders on the Basis of Graph Representation 12

Parallelization Research of Algorithm for Detecting Borders ...

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12th International Conference on Actual Problems of Electronics Instrument Engineering (APEIE)

作者： Demin, A. Y. Dorofeev, V. A. Tomsk Polytech Univ Comp Sci & Engn Syst Tomsk Russia

ISBN: (纸本)9781479960200

In this paper we consider software implementation algorithm for finding the boundaries of objects in images using Sobel operator. Software implementation is presented in structural-graphical form. We propose a semi-automatic parallelization considered program load. parallelized algorithm implemented in software product and the efficiency of parallelization was analyzed.

关键词： Sobel operator image processing tree operators data flow graph parallel programming model

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MHPM: Multi-Scale Hybrid programming model A Flexible parallelization Methodology

MHPM: Multi-Scale Hybrid Programming Model A Flexible Parall...

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14th IEEE International Conference on High Performance Computing and Communications (HPCC) / IEEE 9th International Conference on Embedded Software and Systems (ICESS)

作者： Khammassi, Nader Le Lann, Jean-Christophe Diguet, Jean-Philippe Skrzyniarz, Alexandre ENSTA Bretagne CNRS Lab STICC UMR 6285 F-29806 Brest 9 France Univ South Brittany CNRS Lab STICC F-56321 Lorient France Thales Airbone Syst Radra & Warfare Syst Domain Desing Author F-29200 Brest France

ISBN: (纸本)9780769547497

The continuous proliferation of multicore architectures has placed developers under great pressure to parallelize their applications accordingly with what such platforms can offer. Unfortunately, traditional low-level programming models exacerbate the difficulties of building large and complex parallel applications. High-level parallel programming models are in high-demand as they reduce the burdens on programmers significantly and provide enough abstraction to accommodate hardware heterogeneity. In this paper, we propose a flexible parallelization methodology, and we introduce a new task-based hybrid programming model (MHPM) designed to provide high productivity and expressiveness without sacrificing performance. We show that MHPM allows easy expression of both sequential execution and several types of parallelism including task, data and temporal parallelism at all levels of granularity inside a single structured homogeneous programming model. In order to demonstrate the potential of our approach, we present a pure C++ implementation of MHPM, and we show that, despite its high abstraction, it provides comparable performances to lower-level programming models.

关键词： parallel programming model Structured parallelism Skeleton Execution Patterns parallel Constructs Multicore

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Compute Intensive Algorithm on Heterogeneous System: a Case Study about Fourier Transform

Compute Intensive Algorithm on Heterogeneous System: a Case ...

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22nd Euromicro International Conference on parallel, Distributed, and Network-Based Processing (PDP)

作者： Galizia, Antonella Danovaro, Emanuele Ripepi, Giuseppe Clematis, Andrea CNR Inst Appl Math & Informat Technol Genoa Italy

ISBN: (纸本)9781479927289

Current workstations can offer really amazing raw computational power: up to 10 TFlops on a single machine equipped with multiple CPUs and accelerators as the Intel Xeon Phi or GPU devices. Such results can only be achieved with a massive parallelism of computational devices, thus the actual barrier posed by the exploitation of modern heterogeneous HPC resources is the difficulty in development and/or (performance) efficient porting of software on such architectures. In this paper, we present an experimental study about achievable performance of a widely used, computational intensive application the Fourier Transform, i.e. Discrete Fourier Transform (DFT) and Fast Fourier Transform. We propose an evaluation of the benefits obtained exploiting such resources in terms of performance and programming efforts in the development of the code with a emphasis on the programming approach adopted for code parallelization. With the exception of the interesting performance achieved exploiting GPU for the DFT algorithm, the use state-of-the-art software libraries provide the best solution since they represent a good compromise to balance programming efforts and performance achievements.

关键词： Complex Heterogeneous System parallel programming model Fourier Transform

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CUDA Grid-Level Task Progression Algorithms 17

CUDA Grid-Level Task Progression Algorithms

引用

2015 IEEE 17th International Conference on High Performance Computing and Communications (HPCC)

作者： Kartsaklis, Christos Joubert, Wayne Hernandez, Oscar R. Eisenbach, Markus Elwasif, Wael R. Bernholdt, David E. Oak Ridge Natl Lab Oak Ridge TN 37831 USA

ISBN: (纸本)9781479989379

Tasking is a prominent parallel programming model. In this paper we conduct a first study into the feasibility of task-parallel execution at the CUDA grid, rather than the stream/kernel level, for regular, fixed in-out dependency task graphs, similar to those found in wavefront computational patterns, making the findings broadly applicable. We propose and evaluate three CUDA task progression algorithms, where threadblocks cooperatively process the task graph, and argue about their performance in terms of tasking throughput, atomics and memory IO overheads. Our initial results demonstrate a throughput of 38 million tasks/second on a Kepler K20X architecture.

关键词： parallel architectures parallel programming CUDA grid-level task progression algorithm CUDA task progression algorithm Kepler K20X architecture parallel programming model wavefront computational pattern Computational modeling Graphics processing units Instruction sets Kernel parallel processing Radiation detectors Runtime

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A NEW FRAMEWORK OF CLUSTER-BASED parallel PROCESSING SYSTEM FOR HIGH-PERFORMANCE GEO-COMPUTING

A NEW FRAMEWORK OF CLUSTER-BASED PARALLEL PROCESSING SYSTEM ...

引用

IEEE International Geoscience and Remote Sensing Symposium

作者： Ma, Yan Liu, Dingsheng Li, Jingshan Chinese Acad Sci Ctr Earth Observat & Digital Earth Beijing 100086 Peoples R China

ISBN: (纸本)9781424433940

Up to now, It still remains a big challenge for us to build a high performance geo-computing system with high processing speed and also be easy of use by domain researchers. The unprecedented scale data and various complex algorithms pose many computational and management challenges To properly settle these main issues above, a new system framework for high performance gco-computing is presented in this paper A High Performance Geo-data Object Storage System (HPGOSS) base on parallel file System is used for eliminating I/O performance bottleneck and deal with the data managing problem result from the close relevancy between geo-information and remote sensing image data. parallel programming models for fast parallelization of geo-computing algorithms are proposed. In addition, the job scheduling strategy and workflow engine are also discussed. Finally, such system could provide a parallel geo-computing environment with high performance, easy to use, optimal resource utilization, and high scalability.

关键词： high-performance computing geo-computing remote sensing image processing system framework parallel file system parallel programming model

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SCoOL - Scalable Common Optimization Library 30

SCoOL - Scalable Common Optimization Library

引用

30th International Conference on High Performance Computing, Data, and Analytics (HiPC)

作者： Sayed, Zainul Abideen Zola, Jaroslaw Univ Buffalo Buffalo NY 14260 USA

ISBN: (纸本)9798350383225

We propose SCoOL, a programming model and its corresponding parallel runtime systems for implementing optimization problem solvers. In SCoOL, users specify what task is performed for a point in a given search space, and what global information should be maintained during the search. The resulting optimization program is then efficiently executed in a BSP-style on a shared or distributed memory computers by a parallel runtime provided with the model. In the paper, we show details of our scalable runtime for distributed memory clusters, including algorithms for work stealing and tasks rebalancing. To benchmark the platform, we implement solutions to several optimization problems and provide performance analysis for Quadratic Assignment Problem, Parent Set Assignment, and Bayesian Networks Structure Learning. Our solvers show strong scaling on a cluster with 1,280 cores, significantly outperforming the current state-of-the-art solvers in Bayesian networks learning.

关键词： parallel programming model runtime system optimization problems

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parallel Paradigms and Run-time Management Techniques for Many-core Architectures: The 2PARMA Approach

Parallel Paradigms and Run-time Management Techniques for Ma...

引用

9th IEEE International Conference on Industrial Informatics (INDIN)

作者： Silvano, C. Fornaciari, W. Reghizzi, S. Crespi Agosta, G. Palermo, G. Zaccaria, V. Bellasi, P. Castro, F. Corbetta, S. Speziale, E. Melpignano, D. Zins, J. M. Siorpaes, D. Huebert, H. Stabernack, B. Brandenburg, J. Palkovic, M. Raghavan, P. Ykman-Couvreur, C. Bartzas, A. Soudris, D. Kempf, T. Ascheid, G. Meyr, H. Ansari, J. Maehoenen, P. Vanthournout, B. DEI Politecn Milano Milan Italy STMicroelect Paris France STMicroelect Rome Italy Fraunhofer HHI Berlin Germany IMEC Leuven Belgium IBBT Leuven Belgium Natl Tech Univ Athens ICCS Athens Greece Rhein Westfal TH Aachen RWTH Berlin Germany Synopsis Leuven Belgium

ISBN: (纸本)9781457704345

The 2PARMA project aims at overcoming the lack of parallel programming models and run-time resource management techniques to exploit the features of many-core processor architectures. More in detail, the 2PARMA project focuses on the definition of a parallel programming model combining component-based and single-instruction multiple-thread approaches, instruction set virtualisation based on portable byte-code, run-time resource management policies and mechanisms as well as design space exploration methodologies for Many-core Computing Fabrics.

关键词： 2PARMA project Computer architecture Fabrics Nickel Resource management Runtime Software Standards component-based approach design space exploration methodology instruction set virtualisation instruction sets many-core architectures many-core computing fabrics multi-threading parallel architectures parallel paradigm parallel programming model portable byte-code resource allocation run-time management technique run-time resource management policy run-time resource management technique single-instruction multiple-thread approach virtualisation

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The Massively parallel Computing model GCA

The Massively Parallel Computing Model GCA

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16th International Euro-Par Conference on parallel Processing

作者： Hoffmann, Rolf Tech Univ Darmstadt FB Informat FG Rechnerarchitektur Hsch Str 10 D-64289 Darmstadt Germany

ISBN: (纸本)9783642218781;9783642218774

The Global Cellular Automata model (GCA) is an extension of the Cellular Automata model (CA). Whereas in the CA model each cell is connected via fixed links to its local neighbors, in the GCA model each cell is connected via data dependent dynamic links to any (global) cell of the whole array. The GCA cell state does not only contain data information but also link information. The cell state is synchronously updated according to a local rule, modifying the data and the link information. Similar to the CA model, only the own cell state is modified. Thereby write conflicts cannot occur. The GCA model is related to the CROW (concurrent read owners write) model and it can be used to describe a large range of applications. GCA algorithms can be described in the language GCA-L which can be compiled into different target platforms: a generated data parallel multi-pipeline architecture, and a NIOS II multi-softcore architecture.

关键词： Global Cellular Automata parallel programming model

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COMPSs-Mobile: parallel programming for Mobile-Cloud Computing 16

COMPSs-Mobile: parallel programming for Mobile-Cloud Computi...

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16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid)

作者： Lordan, Francesc Badia, Rosa M. Univ Politecn Cataluna Barcelona Supercomp Ctr BSC CNS Barcelona Spain IIIA CSIC Barcelona Supercomp Ctr BSC CNS Barcelona Spain

ISBN: (纸本)9781509024537

The advent of Cloud and the popularization of mobile devices have led us to a shift in computing access. Computing users will have an interaction display while the real computation will be performed remotely, in the Cloud. COMPSs-Mobile is a framework that aims to ease the development of energy-efficient and high-performing applications for this environment. The framework provides an infrastructure-unaware programming model that allows developers to code regular Android applications that, transparently, are paral-lelized, and partially offloaded to remote resources. This paper gives an overview of the programming model and describes the internal components of the toolkit which supports it focusing on the offloading and checkpointing mechanisms. It also presents the results of some tests conducted to evaluate the behavior of the solution and to measure the potential benefits in Android applications.

关键词： Mobile Cloud Computing Framework parallel programming model Android Offloading Checkpointing

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