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State of the Art in Parallel and Distributed Systems: Emerging Trends and Challenges

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Publicado en:Electronics vol. 14, no. 4 (2025), p. 677
Autor principal: Dai, Fei
Otros Autores: Md Akbar Hossain, Wang, Yi
Publicado:
MDPI AG
Materias:
Big Data
Quantum computing
Simulation
Collaboration
Artificial intelligence
Edge computing
Trends
Bandwidths
Supercomputers
Blockchain
Fault tolerance
Cloud computing
Workloads
High performance computing
Internet of Things
Field programmable gate arrays
Array processors
Distributed processing
Computer networks
Efficiency
Acceso en línea:Citation/Abstract
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Resumen:Driven by rapid advancements in interconnection, packaging, integration, and computing technologies, parallel and distributed systems have significantly evolved in recent years. These systems have become essential for addressing modern computational demands, offering enhanced processing power, scalability, and resource efficiency. This paper provides a comprehensive overview of parallel and distributed systems, exploring their interrelationships, their key distinctions, and the emerging trends shaping their evolution. We analyse four parallel computing paradigms—heterogeneous computing, quantum computing, neuromorphic computing, and optical computing—and examine emerging distributed systems such as blockchain, serverless computing, and cloud-native architectures. The associated challenges are highlighted, and potential future directions are outlined. This work serves as a valuable resource for researchers and practitioners aiming to stay informed about trends in parallel and distributed computing while understanding the challenges and future developments in the field.
ISSN:2079-9292
DOI:10.3390/electronics14040677
Fuente:Advanced Technologies & Aerospace Database