We designed an introductory parallel programming course at the bachelor level. The class differs from other courses in its structure: The course is organized along the tiers of parallelism [25]. The tiers categorize a...
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This paper develops some ideas expounded in [1]. It distinguishes a number of ways of using parallelism, including disjoint processes, competition, cooperation, communication and "colluding". In each case an...
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The first vector supercomputers appeared on the market in the early to mid seventies. Yet, because of the lag in developing supporting software, it is only recently that vectorizing compilers powerful enough to effect...
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The prevalence of multicore processors is bound to drive most kinds of software development towards parallel programming. To limit the difficulty and overhead of parallel software design and maintenance, it is crucial...
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A sequential program is difficult to parallelize often because of the complexity in its implementation and the uncertainty in its behavior. Behavior-oriented parallelization (bop) provides annotations for a user to ma...
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ISBN:
(纸本)9781450309424
A sequential program is difficult to parallelize often because of the complexity in its implementation and the uncertainty in its behavior. Behavior-oriented parallelization (bop) provides annotations for a user to mark possibly parallel tasks and a safe implementation to execute the annotated tasks in parallel if they produce the correct result - the same result as the sequential execution. The demonstration includes a description of the interface and two examples.
Nowadays, many fields of science and engineering are evolving through the joint contribution of complementary fields. Computer science, and especially High Performance Computing, has become a key factor in the develop...
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Nowadays, many fields of science and engineering are evolving through the joint contribution of complementary fields. Computer science, and especially High Performance Computing, has become a key factor in the development of many research fields, establishing a new paradigm called computational science. Researchers and professionals from many different fields require knowledge of High Performance Computing, including parallel programming, to develop fruitful and efficient work in their particular field. Therefore, at Universitat Autonoma of Barcelona (Spain), an interdisciplinary Master on "Modeling for Science and Engineering" was started 5 years ago to provide a thorough knowledge of the application of modeling and simulation to graduate students in different fields (Mathematics, Physics, Chemistry, Engineering, Geology, etc.). In this Master's degree, "parallel programming" appears as a compulsory subject because it is a key topic for them. The concepts learned in this subject must be applied to real applications. Therefore, a complementary subject on "Applied Modeling and Simulation" has also been included. It is very important to show the students how to analyze their particular problems, think about them from a computational perspective and consider the related performance issues. So, in this paper, the methodology and the experience in introducing computational thinking, parallel programming and performance engineering in this interdisciplinary Master's degree are shown. This overall approach has been refined through the Master's life, leading to excellent academic results and improving the industry and students appraisal of this programme. (C) 2017 Elsevier Inc. All rights reserved.
作者：
Rodriguez, Diego A.Oteiza, Paola P.Brignole, Nelida B.UNS
CONICET Planta Piloto Ingn Quim PLAPIQUI Bahia Blanca Buenos Aires Argentina UNS
DIQ Bahia Blanca Buenos Aires Argentina UNS
Lab Invest & Desarrollo Comp Cient LIDECC DCIC Bahia Blanca Buenos Aires Argentina Univ Nacl Salta UNSa
Dept Informat Fac Ciencias Exactas Salta Argentina
An innovative optimization strategy by means of hyper-heuristics is proposed. It consists of a parallel combination of three metaheuristics. In view of the need both to escape from local optima and to achieve high div...
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An innovative optimization strategy by means of hyper-heuristics is proposed. It consists of a parallel combination of three metaheuristics. In view of the need both to escape from local optima and to achieve high diversity, the algorithm cooperatively combines simulated annealing with genetic algorithms and ant colony optimization. A location routing problem (LRP), which aims at the design of transport networks, was adopted for the performance evaluation of the proposed algorithm. Information exchanges took place effectively between the metaheuristics and speeded up the search process. Moreover, the parallel implementation was useful since it allowed several metaheuristics to run simultaneously, thus achieving a significant reduction in the computational time. The algorithmic efficiency and effectiveness were ratified for a medium-sized city. The proposed optimization algorithm not only accelerated computations, but also helped to improve solution quality.
We describe a set of software utilities designed to facilitate the writing of parallel codes and porting sequential ones. Emphasis is placed on portability so that code can be developed simultaneously on a sequential ...
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Nowadays, performance in processors is increased by adding more cores or wider vector units, or by combining accelerators like GPUs and traditional cores on a chip. programming for these diverse architectures is a cha...
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The classical solution of electromagnetic problems using the finite element (FE) method needs to assemble, store and solve an Ax = b matrix system. A new technique for solving FE cases, considered much simpler than tr...
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