Compiler and Hardware Design Systems for High-Performance Computing
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Circuit and Signal Processing".
Deadline for manuscript submissions: 15 January 2025 | Viewed by 1337
Special Issue Editors
Interests: compiler optimization for high-performance computing; accelerated computing; machine learning
Special Issue Information
Dear Colleagues,
Compilers and computer architecture are both critical components of modern computing systems (from mobile devices to supercomputers) because their significance lies in their essential roles in making software and hardware work together efficiently and effectively. Compilers enable developers to write code in higher-level languages and convert it into machine code, making programming more accessible and efficient. In addition, computer architecture forms the foundation of hardware design, influencing performance, compatibility, scalability, energy efficiency, and parallelism in computing systems. Therefore, compilers and computer architecture both play a critical role in enhancing modern computing technology given that high-performance parallel architectures are exploited to solve many critical challenges in a variety of areas.
This Special Issue aims to present the latest research results and new ideas in compiler and hardware design systems for high-performance computing. In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- High-performance computer architectures;
- IoT, mobile, Edge, and embedded architectures;
- Compilers, runtimes, and programming languages for parallel computer systems;
- Compilers and programming languages for novel architectures;
- Heterogeneous computing accelerators;
- Machine learning compilers and runtime;
- Programming languages for machine learning;
- Specialized hardware for machine learning.
Dr. Jinsung Kim
Dr. Jaehwan Lee
Guest Editors
Manuscript Submission Information
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Keywords
- computer architectures
- compilers
- parallel and distributed computing
- programming languages
- accelerated computing
- machine learning for systems
- parallel algorithms
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