Next-Generation Intelligent Memory and Storage Systems: Design, Optimization, and AI Integration

Dear Colleagues,

The proliferation of data-intensive applications, ranging from large language models and real-time analytics to high-performance computing, has exposed critical bottlenecks in conventional memory and storage hierarchies. The gap between processing speeds and data access rates (the memory wall) is widening, challenging the efficiency and scalability of modern computing systems.

This Special Issue aims to collate cutting-edge research exploring novel architectures, design methodologies, and optimization techniques that integrate intelligence directly into the data path. We seek contributions that leverage artificial intelligence (AI) and machine learning (ML) to make memory and storage systems data-aware, adaptive, and predictive.

The call is open to a broad thematic range of papers covering the software optimizations of AI and ML across operating systems, covering memory and storage challenges, new hardware technologies, and research trends to provide readers with knowledge of adopting AI/ML for system software in various environments, including mobile, embedded, and enterprise.

Dr. Donghyun Kang
Dr. Jaeho Kim
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 250 words) can be sent to the Editorial Office for assessment.

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.