Advanced Technologies in Intelligent Computer System Architecture
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 6235
Special Issue Editors
Interests: compiler technologies for performance, energy efficiency, and security
Interests: embedded systems design; low-power computing systems
Special Issue Information
Dear Colleagues,
Intelligent computer systems are increasingly gaining traction thanks to the improvements in the underlying machine intelligence theory and applications. This is also driving intelligence into embedded devices, which are expected to implement complex decision logics, with or without the support of remote networked servers, and possibly coordinate information from multiple sources to achieve a correct understanding of the environment they are operating in.
These scenarios pose numerous challenges in terms of performance, battery life, reliability, and security, which must be addressed through appropriate architectural solutions, including hardware accelerators for specific tasks, as well as through software-level optimizations, including compiler transformations and software design methodologies. The combination and co-design of software and hardware become particularly important when resources are constrained, and holistic techniques need to be adopted.
This Special Issue aims at collecting advances in the field, including a mix of application-specific and methodological contributions. The topics of interest include, but are not limited to, the following:
- Hardware architectures and accelerators for intelligent embedded and cyberphysical systems;
- Compiler-based techniques for enforcing extrafunctional properties;
- Approximate computing and mixed-precision techniques;
- Low-power embedded systems architectures for AI and machine learning applications;
- Embedded systems compiler/runtime frameworks to support AI and machine learning applications;
- Programmability of self-driving cars and other safety-critical intelligent computer systems;
- Models and learning discretization for low-end microcontrollers;
- Performance/memory tradeoffs and optimizations in intelligent computer systems;
- Hardware/software co-design and platform-based design of intelligent computer systems.
Prof. Dr. Giovanni Agosta
Prof. Dr. Carlo Brandolese
Dr. Stefano Cherubin
Guest Editors
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Keywords
- Intelligent systems architecture
- Embedded systems design
- Cyberphysical systems
- Approximate computing
- Energy efficiency
- Compiler optimization
- Ubiquitous computing systems
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