Applied Sciences
ISSN: 2076-3417 / Impact factor (2023): 2.5 (Q2)

Dear Colleagues,

This Special Issue will delve into the innovative and rapidly evolving field of data structures tailored to graphics processing units (GPUs). GPUs, originally designed for rendering graphics, have emerged as powerful parallel processors, revolutionizing computational tasks across diverse domains. This Special Issue will explore the development and optimization of data structures that leverage the parallel processing capabilities of GPUs to achieve significant performance enhancements.

Contributors to this Special Issue will present cutting-edge research into a variety of GPU-optimized data structures, including, but not limited to, stacks, queues, trees, graphs, hash tables, and priority queues. The articles will highlight novel approaches to memory management, data access patterns, and algorithmic modifications that harness the massive parallelism of GPUs. Furthermore, this Special Issue will address practical challenges, such as synchronization, load balancing, and efficient data transfer between CPU and GPU memory.

By featuring both theoretical advancements and practical implementations, this Special Issue will bridge the gap between traditional CPU-centric data structures and their GPU-optimized counterparts. Readers will gain insights into the latest techniques for maximizing GPU performance, making this Special Issue an essential resource for researchers and practitioners seeking to exploit the full potential of GPU computing for data-intensive applications.

Dr. Byunghyun Jang
Prof. Dr. Juan A. Gómez-Pulido
Guest Editors

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 submissions that pass pre-check are 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. Applied Sciences is an international peer-reviewed open access semimonthly 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 2400 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.

Keywords:

- GPU computing
- concurrent data structures
- GPGPU
- parallel computing

Guest Editors:

Dr. Byunghyun Jang
Department of Computer and Information Science, University of Mississippi, USA
Interests: hardware architecture and compilers for parallel and heterogeneous processors; GPU computing (GPGPU) and CPU-GPU heterogeneous computing and CPU-GPU heterogeneous computing

Prof. Dr. Juan A. Gómez-Pulido
Department of Technologies of Computers and Communications, University of Extremadura, Spain
Interests: embedded computing; reconfigurable computing; computational intelligence; optimization