Advances of HPC for AI Applications
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematics and Computer Science".
Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 262
Special Issue Editors
Interests: resource allocation and job scheduling; optimization for deep learning applications; cloud computing; supercomputing
Special Issue Information
Dear Colleagues,
Artificial intelligence (AI) is a cross-disciplinary technology based on mathematics, computer science, linguistics, psychology, and many more domains. It allows machines to simulate human behaviour or to solve problems intelligently by training AI models using vast volumes of application data. As more and more AI applications such as personalized shopping, autonomous vehicles, facial recognition, recommendation system, and voice assistant are available in our daily lives, a significant amount of computation and storage space are needed to improve AI applications. To better serve AI applications, there is a significant amount of inter-domain studies in the High-Performance Computing (HPC) and AI communities that aim to 1) improve AI with the help of HPC techniques (i.e., “HPC for AI”) and 2) improve HPC through the use of AI techniques (i.e., “AI for HPC”). In this Special Issue, we would like to see all inter-domain research work between HPC and AI.
Dr. Shanjiang Tang
Dr. Yusen Li
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. Mathematics 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 2600 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
- AI for HPC and HPC for AI
- efficient data storage and parallelism for AI
- resource management and job scheduling for AI applications
- programming models for AI
- performance modelling for AI applications
- accuracy and efficiency optimization for AI model training and inference
- efficient hardware and software systems for AI
- fault Tolerance, High Availability, and Reliability for AI
- I/O optimization for AI applications
