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IEEE International Symposium on parallel and Distributed Processing Workshops and Phd Forum (IPDPSW)

作者： Alice Lasserre Raymond Namyst Pierre-André Wacrenier Computer Science department University of Bordeaux Talence France

ISBN: (数字)9781728174457

ISBN: (纸本)9781728174570

This paper presents EASYPAP, an easy-to-use programming environment designed to help students to learn parallel programming. EASYPAP features a wide range of 2D computation kernels that the students are invited to parallelize using Pthreads, OpenMP, OpenCL or MPI. Execution of kernels can be interactively visualized, and powerful monitoring tools allow students to observe both the scheduling of computations and the assignment of 2D tiles to threads/processes. By focusing on algorithms and data distribution, students can experiment with diverse code variants and tune multiple parameters, resulting in richer problem exploration and faster progress towards efficient solutions. We present selected lab assignments which illustrate how EASYPAP improves the way students explore parallel programming.

关键词： Kernel Monitoring Microsoft Windows Task analysis parallel programming Mice Instruction sets

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JAMPI: A C++ parallel programming Interface Allowing the Implementation of Custom and Generic Scheduling Mechanisms

JAMPI: A C++ Parallel Programming Interface Allowing the Imp...

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International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)

作者： Daniel Di Domenico Gerson G. H. Cavalheiro Federal University of Pelotas Pelotas RS Brazil

ISBN: (数字)9781728199245

ISBN: (纸本)9781728199252

The widespread of modern parallel architectures brought many challenges in terms of programming. In response, many parallel programming tools intend to aid the user in order to exploit hardware resources effectively. As a new alternative, this paper introduces the design and implementation of JAMPI, a generic parallel programming interface developed in C++ focused on code reuse, productivity and high-level abstraction to enable the construction of parallel applications. JAMPI is totally integrated with its host programming language and offers, as main feature, a fully disassociation of its programming interface from its scheduling mechanism. Aiming to manage and optimize the parallel execution, the proposed interface allows the programmer to implement a custom scheduling heuristic for each portion of the application code. Besides JAMPI model description, we proceeded some preliminary experiments using applications encoded with the proposed framework. Results showed that JAMPI can be used to reach performance on multicore platforms and does not add performance penalty over the sequential version of the benchmarks.

关键词： C++ languages Task analysis parallel processing Tools parallel programming Multicore processing Concurrent computing

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Learning parallel programming Through programming Challenges

Learning Parallel Programming Through Programming Challenges

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Frontiers in Education (FIE) Conference

作者： Guilherme Martins Paulo Sergio Lopes de Souza Davi Jose Conte Sarita Mazzini Bruschi Institute of Mathematics and Computer Sciences University of São Paulo São Carlos Brazil

ISBN: (数字)9781728189611

ISBN: (纸本)9781728189628

This research full paper describes the use of challenges to teach parallel programming, regardless of teaching methodology (traditional, Problem-Based Learning and others) or programming-contest support systems. We verify how challenges contribute to the learning of parallel programming, considering technical and motivational aspects. Studies demonstrate the potential of using programming contests as educational resources at the end of courses, encouraging students to practice and learn more about parallel programming. However, there are no proposals exploring programming challenges as part of the learning process, since the beginning of the course. This paper presents four different experiments applying challenges to teach parallel programming for undergraduate and graduate students. We evaluated different teaching/learning methodologies, contexts, educational resources (including programming marathon systems), and groups of students. Considering all the experiments, almost 250 students participated and were evaluated. We developed and applied 58 challenges to analyze theoretical and practical knowledge about parallel programming. Different metrics were used to evaluate the students during the experiments: theoretical assessments, source-code quality, program output correctness, and student́s receptivity/motivation to learning from challenges. Results from experiments show scores of up to 96% of learning on technical aspects and up to 83% on student satisfaction. Challenges stimulated the development of high-quality parallel solutions and promoted a healthy environment among students, where the lightly-competitive context contributed to create a collaborative atmosphere. The use of programming marathon systems as an educational tool is not imperative. The use of challenges for the students' learning, not on their classification, showed that it is possible to teach parallel programming, maintaining students focused and motivated.

关键词： parallel programming Education programming profession Tools Computational modeling Mathematics Games

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Technique for teaching parallel programming via solving a computational electrodynamics problems 4th

Technique for teaching parallel programming via solving a co...

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4th Russian Supercomputing Days Conference, RuSCDays 2018

作者： Mosin, Sergey Pleshchinskii, Nikolai Pleshchinskii, Ilya Tumakov, Dmitrii Kazan Federal University Kazan Russia

ISBN: (纸本)9783030058067

Three-dimensional problems of computational electrodynamics for the regions of complex shape can be solved within the reasonable time only using multiprocessor computer systems. The paper discusses the process of converting sequential algorithms into more efficient programs using some special techniques, including object-oriented programming concepts. The special classes for data storage are recommended to use at the first stage of programming. Many objects in the program can be destroyed when optimizing the code. Special attention is paid to the testing of computer programs. As an example, the problem of the electromagnetic waves diffraction by screens in three-dimensional waveguide structures and its particular cases are considered. The technique of constructing a parallel code for solving the diffraction problem is used in teaching parallel programming. © 2019, Springer Nature Switzerland AG.

关键词： parallel programming

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Understanding learners problem-solving strategies in concurrent and parallel programming: A game-based approach

arXiv

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arXiv 2020年

作者： Zhu, Jichen Alderfer, Katelyn Smith, Brian Char, Bruce Ontanon, Santiago Drexel University Philadelphia United States

Concurrent and parallel programming (CPP) is an increasingly important subject in Computer Science Education. However, the conceptual shift from sequential programming is notoriously difficult to make. Currently, relatively little research exists on how people learn CPP core concepts. This paper presents our results of using parallel, an educational game about CPP, focusing on the learners self-efficacy and how they learn CPP concepts. Based on a study of 44 undergraduate students, our research shows that (a) self-efficacy increased significantly after playing the game;(b) the problem-solving strategies employed by students playing the game can be classified in three main types: Trial and error, single-Thread, and multi-Threaded strategies, and (c) that self-efficacy is correlated with the percentage of time students spend in multithreaded problem-solving. Copyright © 2020, The Authors. All rights reserved.

关键词： parallel programming

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Teaching parallel programming for Beginners in Computer Science

Teaching Parallel Programming for Beginners in Computer Scie...

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Frontiers in Education (FIE) Conference

作者： Davi Jose Conte Paulo Sergio Lopes de Souza Guilherme Martins Sarita Mazzini Bruschi Institute of Mathematics and Computer Sciences University of São Paulo São Carlos Brazil

ISBN: (数字)9781728189611

ISBN: (纸本)9781728189628

This research full paper describes our experience in teaching parallel programming for students without previous knowledge of basic concepts of computing, comparing their levels of learning. The use of parallel software grew considerably in recent years due to the increasing availability of multi and many-core devices. The evolution of hardware and software resources collaborated for a remarkable computational processing power offered by parallel programs. However, parallel programming is taught usually in more advanced years of the undergraduate computer courses, due to its supposed prerequisites as sequential programming, operating systems, computer architectures and others. Postponing parallel programming teaching hinder students to apply parallelism other subjects, reducing the probability of these future professionals think on parallel solutions naturally. We executed 05 experiments teaching parallel programming subjects for 252 students. We analyzed whether students without prerequisites could learn parallel programming in the same level verified with students with prior computing knowledge. We used three different teaching methodologies: traditional, Problem Based Learning (PBL), and Team-Based Learning (TBL). The teaching and learning evaluation took into account such metrics: parallelism thinking of students, use of programming-model, correct output of the program, source-code readability and satisfaction of the students. The paper shows that it is possible to teach parallel programming to students without previous knowledge of computing, obtaining high scores and interest in such learning. Our results contribute positively to disseminate parallel programming, which is vital to extract performance from nowadays computers.

关键词： Education parallel programming parallel processing programming profession Software Measurement Computer architecture

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Towards Generic parallel programming in Computer Science Education with Kokkos

Towards Generic Parallel Programming in Computer Science Edu...

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Workshop on Education for High Performance Computing (EduHPC)

作者： Jan Ciesko David Poliakoff Daisy S. Hollman Christian C. Trott Damien Lebrun-Grandié Computer Science Research Institute Sandia National Laboratories Albuquerque NM USA Computer Science Research Institute Sandia National Laboratories Livermore CA USA Computational Sciences and Engineering Oak Ridge National Laboratory Oak Ridge TN USA

ISBN: (数字)9781665422963

ISBN: (纸本)9781665404495

parallel patterns, views, and spaces are promising abstractions to capture the programmer's intent as well as the contextual information that can be used by an underlying runtime to efficiently map software to parallel hardware. These abstractions can be valuable in cases where an algorithm must accommodate requirements of code and performance portability across hardware architectures and vendor programming models. Kokkos is a parallel programming model for host- and accelerator architectures that relies on these abstractions and targets these requirements. It consists of a pure C++ interface, a specification, and a programming library. The programming library exposes patterns and types and maps them to an underlying abstract machine model. The abstract machine model offers a generic view of parallel hardware. While Kokkos is gaining popularity in large-scale HPC applications at some DOE laboratories, we believe that the implemented concepts are of interest to a broader audience including academia as they may contribute to a generic, vendor, and architecture-independent education of parallel programming. In this work, we give an insight into the design considerations of this programming model and list important abstractions. Further, we document best practices obtained from giving virtual classes on Kokkos and give pointers to resources that the reader may consider valuable for a lecture on generic parallel programming for students with preexisting knowledge on this matter.

关键词： programming profession Semantics parallel programming Computational modeling Computer architecture Hardware Education

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parallel programming with OCaml: A Tutorial 16

Parallel Programming with OCaml: A Tutorial

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International Conference on High Performance Computing & Simulation (HPCS)

作者： Allombert, Victor Bourgoin, Mathias Loulergue, Frederic Univ Orleans INSA Ctr Val de Loire LIFO EA 4022 Orleans France No Arizona Univ SICCS Flagstaff AZ USA

ISBN: (纸本)9781538678794

OCaml is a multi-paradigm (functional, imperative, object-oriented) high level sequential language. Types are statically inferred by the compiler and the type system is expressive and strong. These features make OCaml a very productive language for developing efficient and safe programs. In this tutorial we present three frameworks for using OCaml to program scalable parallel architectures: BSML, Multi-ML and Spoc.

关键词： parallel programming functional programming bulk synchronous parallelism Multi-BSP GPGPU

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parallel programming in Real-Time Systems

Parallel Programming in Real-Time Systems

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ARCS Workshop 2019;32nd International Conference on Architecture of Computing Systems

作者： Michael Schmid Florian Fritz Juergen Mottok Laboratory for Safe and Secure Systems - LaS~3 Technical University of Applied Sciences Regensburg

ISBN: (纸本)9783800749577

The enormous amounts of data modern real-time systems have to process lead to expensive, long-lasting calculations. In order to manage those computations in a timely manner, parallel task models have gained a lot of popularity lately. However, parallel programming can be very cumbersome and verbose. Other computationally intensive sectors have dealt with parallel computing for decades and have accumulated their experience in the development of parallel frameworks. Examples of well known parallel runtime systems are OpenMP, Intel Threading Building Blocks (TBB) and Microsoft parallel Pattern Library (PPL). These runtime systems allow developers to enhance parallelism in their applications in a straightforward fashion. However, those parallel frameworks and the patternbased interfaces they provide might not be easily applicable in real-time systems. In this paper, we investigate the use of parallel programming frameworks in time-critical systems. On that account, we discuss considerations for the design of real-time applications that make use of such parallel runtime systems. Furthermore, we evaluate three library-based frameworks from different computing sectors, namely Intel Threading Building Blocks, Embedded Multicore Building Blocks (EMBB) and High Performance ParalleX (HPX), by conducting benchmarks of various parallel algorithms on an embedded multicore architecture.

关键词： real-time systems parallel programming Frameworks Runtime parallel Lines Building blocks parallel algorithms real-time application program parallel PROCESSING (COMPUTERS) TAPPING

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parallel programming with arrays in Kappa 5

Parallel programming with arrays in Kappa

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5th ACM SIGPLAN International Workshop on Libraries, Languages, and Compilers for Array programming, ARRAY 2018, in conjunction with PLDI 2018

作者： Åkerblom, Beatrice Castegren, Elias Wrigstad, Tobias Stockholm University Sweden Uppsala University Sweden

ISBN: (纸本)9781450358521

Array algorithms where operations are applied to disjoint parts of an array lend themselves well to parallelism, since parallel threads can operate on the parts of the array without synchronisation. However, implementing such algorithms requires programmer diligence to verify that a thread does not accidentally access an element of the array while another thread is updating the same element. An off-by-one error can lead to data-races and non-deterministic bugs which are notoriously hard to track down. Previous work on Kappa, a capability-based type system, provides data-race freedom for concurrent, object-oriented programs, even in the presence of concurrent mutating accesses to the same object. In this paper we show how Kappa can be extended to handle concurrent programming with arrays. By defining array capabilities which grant access to (parts of) an array, we can piggy-back on the existing type system in a straightforward fashion. We illustrate how split and merge operations integrate with Kappa in practise by discussing the implementation of a divide-and-conquer quicksort algorithm. We explore the semantics of the Kappa extension by using a simple imperative calculus and sketch on how it could be implemented efficiently. © 2018 ACM.

关键词： parallel programming

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