Parallel Programming 2019 : Advances in Parallel Programming: Languages, Models and Algorithms

Advances in Parallel Programming: Languages, Models and Algorithms

Scope and Objectives

Parallelism becomes ubiquitous. It is available in many ways, including multicore processors, GPUs, co-processors, and many-core processors. These hardware emerging trends impose demanding challenges on modern parallel programming languages, models and algorithms. Hence, there is a need for high-level parallel programming paradigms that address all these forms of hardware parallelism in a manner that is abstract enough, user-friendly, ease of learning, scalable and performance portable. This special issue aims to present new developments in programming homogenous and heterogeneous parallel systems. It focuses on language-based parallel programming such as OpenMP, Python, Microsoft .NET parallel extensions (TPL and PPL), Java parallel extensions, PGAS languages, and GPGPU language-based programming models such as CUDA, OpenCL and OpenACC. Contributions on other high-level programming models and supportive environments for parallel and distributed systems are equally welcome.
This special issue seeks high quality contributions in the field of High-level Parallel Programming. The authors of the best articles of PPAM-WLPP 2019 workshop selected by the program committee and the guest editors will be invited to submit extended versions of their work to this special issue. The submission should contain at least 30% of new content. Papers not presented at the workshop but that contribute to the High-level Parallel Programming area are also welcome. Submissions will be reviewed by the program committee members of the PPAM-WLPP 2019 workshop and other reviewers.

Topics of interests include:
• Language and library implementations
• Proposals for, and evaluation of, language extensions
• Applications and algorithms development experiences
• Comparisons between programming models
• Benchmark suites and performance studies
• Debuggers and performance analysis tools
• Compiler implementation and optimization
• Optimization techniques
• Performance portability
• Hybrid models (OpenMP-MPI etc.)
• Parallel languages and models for heterogeneous systems
• Parallel programming in core CS courses

High quality papers related to the topics listed above will be eligible for publication in this special issue. The manuscripts should follow the JPDC Guide for Authors online: https://www.elsevier.com/journals/journal-of-parallel-and-distributed-computing/0743-7315/guide-for-authors. All manuscripts submission and review will be handled by Elsevier Editorial System http://ees.elsevier.com/jpdc. Please make sure to choose “Parallel Programming” as article type.

IMPORTANT DATES

Full Paper Regular Submission Due: May 1, 2019
First Notification: October 1, 2019
Revisions Due: January 1, 2020
Notifications of Final Acceptance: February 1, 2020
Submissions of Camera-Ready Papers: March 1, 2020

GUEST EDITORS

Ami Marowka, Parallel Research Lab, Israel.
[email protected]

Przemysław Stpiczyński, Maria Curie-Skłodowska University, Poland.
[email protected]