ACM Journal on Emerging Technologies in Computing Systems

Scope & Guideline

Exploring the Future of Computing Innovations

Introduction

Explore the comprehensive scope of ACM Journal on Emerging Technologies in Computing Systems through our detailed guidelines, including its aims and scope. Stay updated with trending and emerging topics, and delve into declining areas to understand shifts in academic interest. Our guidelines also showcase highly cited topics, featuring influential research making a significant impact. Additionally, discover the latest published papers and those with high citation counts, offering a snapshot of current scholarly conversations. Use these guidelines to explore ACM Journal on Emerging Technologies in Computing Systems in depth and align your research initiatives with current academic trends.
LanguageEnglish
ISSN1550-4832
PublisherASSOC COMPUTING MACHINERY
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 2005 to 2024
AbbreviationACM J EMERG TECH COM / ACM J. Emerg. Technol. Comput. Syst.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address1601 Broadway, 10th Floor, NEW YORK, NY 10019-7434

Aims and Scopes

The ACM Journal on Emerging Technologies in Computing Systems (JETC) focuses on the intersection of computer systems and emerging technologies, emphasizing innovative methodologies and applications. The journal aims to advance the understanding and development of computing systems that leverage emerging technologies, fostering a multidisciplinary approach.
  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
The ACM JETC is witnessing a shift in focus towards several trending and emerging themes that reflect the evolving landscape of computing systems. These themes are increasingly relevant and hold significant potential for future research.
  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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

While the journal continues to explore a wide range of topics, certain themes have shown a reduction in prominence in recent years. This section highlights those areas that appear to be gradually waning in focus.
  1. 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.
  2. 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.
  3. 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.
  4. 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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