ACM Journal on Emerging Technologies in Computing Systems
Scope & Guideline
Fostering Insights into Next-Gen Computing Systems
Introduction
Aims and Scopes
- Hardware Security and Trust:
The journal extensively covers hardware security topics, including physical unclonable functions (PUFs), hardware trojan detection, and secure architectures, addressing vulnerabilities and proposing solutions for reliable hardware systems. - Machine Learning and AI in Hardware Design:
A significant focus is placed on integrating machine learning techniques into hardware design, optimization, and security, including the development of hardware accelerators for deep learning and resilient machine learning systems. - Neuromorphic Computing and Spiking Neural Networks:
Research on neuromorphic computing architectures, particularly spiking neural networks, is prevalent, exploring energy-efficient designs and novel computing paradigms that mimic biological processes. - Emerging Technologies and Architectures:
The journal emphasizes the exploration of new computing architectures, such as photonic networks, memristor-based systems, and quantum computing, discussing their implications for future computing systems. - Energy Efficiency and Performance Optimization:
There is a consistent focus on energy-efficient designs and performance optimization strategies for computing systems, addressing challenges in high-performance computing and edge devices. - Interconnect and Communication Systems:
Research related to on-chip and off-chip communication architectures is a core area, with studies focusing on improving data transfer, reducing latency, and enhancing reliability in complex systems.
Trending and Emerging
- Integration of Machine Learning in Hardware Systems:
There is a growing trend towards the integration of machine learning techniques in hardware design and optimization, enabling smarter and more adaptive computing systems. - Resilience and Security in Emerging Technologies:
Research focusing on resilience against attacks, particularly in hardware security, is gaining traction, highlighting the need for robust design methodologies in the face of increasing cybersecurity threats. - Photonic and Quantum Computing:
Emerging technologies like photonic and quantum computing are becoming a central theme, with research exploring their potential to revolutionize computing systems and improve performance. - Edge Computing and IoT Applications:
The rise of edge computing and Internet of Things (IoT) applications is reflected in the journal's increasing focus on low-power, efficient computing solutions designed for distributed environments. - Neuromorphic and Brain-Inspired Computing:
Research in neuromorphic computing continues to trend upward, with a focus on developing brain-inspired architectures that offer energy-efficient solutions for complex computations.
Declining or Waning
- Traditional CMOS Technology:
Research centered around conventional CMOS technology is decreasing, as the field shifts towards exploring alternative materials and architectures that promise better performance and energy efficiency. - Basic Circuit Design Techniques:
There is a noticeable decline in publications focused solely on fundamental circuit design techniques, as the journal's emphasis has moved towards more integrated and application-oriented approaches. - General Purpose Computing:
The focus on general-purpose computing architectures is waning, with more emphasis on specialized architectures tailored for specific applications, such as machine learning and edge processing. - Static Security Measures:
Static hardware security measures are being overshadowed by dynamic and adaptive security solutions that respond to evolving threats and vulnerabilities in real-time.
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