Special Issue "Parallel Programming in the Era of Heterogeneous Computing: Recent Developments and Challenging Issues"

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Applications".

Deadline for manuscript submissions: closed (15 January 2020).

Special Issue Editor

Dr. Nicola Bombieri
E-Mail Website
Guest Editor
Information Processing Systems, University of Verona, Verona, Italy
Interests: Parallel Computing; Heterogeneous architectures; GPU; Parallel graph algorithms

Special Issue Information

Dear Colleagues,

Heterogeneous parallel computing is gaining increasing acceptance as the best solution to simultaneously target different non-functional constraints like power consumption and energy efficiency (excluding performance). However, as the complexity of such computing systems increases, performance limitations due to slow memory access; workload balancing; synchronization; and communication between multi-cores, many-cores, and heterogeneous cores are expected to get worse, making it hard for developers to fully exploit the theoretically available computing power. Compute- and data-intensive tasks can only benefit from hardware's full potential if both processor and architecture characteristics are taken into account at all stages—from the early algorithmic design, via appropriate programming models, to the final implementation. This Special Issue’s objectives include but are not limited to novel programming models and frameworks, or extensions of existing programming models, to ease offloading and parallelization of computation to multi- and many-cores; multi- and many-core applications for emerging scientific computing applications; novel architectural concepts to boost software execution and to overcome scalability issues of current heterogeneous parallel systems; many-core HW/SW design for machine/deep learning processing and applications; software engineering, code optimization, and code generation strategies for parallel systems with heterogeneous processors; multi- and manycore-aware approaches for large-scale parallel simulations in both implementation and algorithm design, including scalability studies, application parallelization use cases, benchmarking, and benchmark suites; and hardware-aware, compute-, and memory-intensive simulations of real-world problems in computational science and engineering.

Dr. Nicola Bombieri
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers

There is no accepted submissions to this special issue at this moment.
Back to TopTop