Advances in Computer Architecture Design, Parallel Processing, and Fault Tolerance
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: closed (20 May 2025) | Viewed by 2822
Special Issue Editors
Interests: functional testing; general-purpose graphics processing units (gpgpus); parallel processing
Interests: fault tolerance; in-network computing; computer architectures; Internet of Things; artificial intelligence
Interests: affective computing; agreement technology; artificial intelligence; computational chemistry; computer science
Special Issues, Collections and Topics in MDPI journals
Interests: cryptography; information/data security; computer security; digital watermarking; cloud computing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The advances in computer architectures and systems play a key role in supporting and boosting the development and deployment of complex applications in several domains, including machine learning and high-performance scientific computing.
This Special Issue aims to disseminate relevant contributions to modern and emerging designs and techniques in computer architecture and parallel processing. The primary focus is on original and pertinent methodologies, techniques, and architectures in hardware accelerators for machine learning, processor architectures, and systems. Topics include enhancements in energy efficiency, performance, and fault tolerance. Additionally, this Special Issue aims to address the evaluation of reliability in emerging and novel computer architectures and systems.
The primary scope of this Special Issue includes, but is not limited to:
- Parallel architectures;
- Emerging architectures for hardware accelerators;
- Design and programming of large language model (LLM) accelerators;
- Reliability and fault tolerance;
- Graphics processing units;
- Vector processors and accelerators;
- High-performance computing.
Dr. Josie E. Rodriguez Condia
Dr. José Rodrigo Azambuja
Prof. Dr. Vicent Botti
Dr. Arcangelo Castiglione
Guest Editors
Manuscript Submission Information
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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
- parallel architectures
- parallel processing
- architectures for hardware accelerators
- design of large language model accelerators
- programming of large language model accelerators
- reliability
- fault tolerance
- graphics processing units
- vector processors
- high-performance computing systems
- energy-efficient architectures and programming
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