[hpc-announce] Call for Papers: Special Issue on Parallel Computing and Artificial Intelligence - Network Virtualization and Edge/Fog Computing

[al inostrosa]

Dear Colleagues,
I hope this message finds you well.

In our role as Guest Editors for the journal Future Internet (ISSN
1999-5903), I am writing on behalf of Dr. Verónica Gil-Costa and me to
invite you to submit articles to our upcoming Special Issue: "Parallel
Computing and Artificial Intelligence".

In this Special Issue, ‘Parallel Computing and Artificial Intelligence’, we
aim to showcase recent advances at the intersection of high-performance
computing and intelligent systems. Modern AI workloads—ranging from deep
learning to large-scale data analytics—demand unprecedented computational
power, driving the need for optimized parallel algorithms, heterogeneous
architectures, and scalable software frameworks. At the same time, AI
techniques are increasingly applied to enhance performance modeling,
resource allocation, and system optimization in parallel and distributed
environments. We invite original research and reviews that explore novel
models, algorithms, tools, and applications leveraging parallelism to
accelerate AI, as well as AI-driven approaches that improve efficiency and
reliability in parallel computing systems. Contributions addressing
emerging hardware, edge–cloud orchestration, green HPC, digital twins, or
domain-specific accelerators are particularly welcome. Our goal is to
provide a comprehensive overview of the cutting-edge developments shaping
the future of intelligent and scalable computation.

Topics of interest include, but are not limited to, the following:

   - parallel and distributed algorithms for AI and machine learning
   - scalable training and inference methods for deep learning
   - high-performance computing architectures for AI workloads
   - GPU, TPU, FPGA, and heterogeneous accelerator-based computation
   - AI-driven optimization of parallel systems, scheduling, and resource
   management
   - performance modeling, simulation, and benchmarking of AI and HPC
   applications
   - parallel programming models, runtimes, and compilers for intelligent
   systems
   - edge–cloud continuum, fog computing, and distributed AI frameworks
   - energy-efficient and green HPC techniques for AI pipelines
   - digital twins for performance prediction and system optimization
   - big data analytics and large-scale scientific computing supported by AI
   - parallel processing for autonomous systems, robotics, and
   cyber–physical systems
   - fault tolerance, reliability, and resilience in AI-intensive parallel
   environments
   - domain-specific accelerators and specialized hardware for AI
   - applications of parallel AI in healthcare, industry, environment, and
   societal modeling
   - parallel and distributed simulations for large-scale applications


For more information, please visit:
https://urldefense.us/v3/__https://www.mdpi.com/journal/futureinternet/special_issues/17DFGPW657__;!!G_uCfscf7eWS!aSSj1nv6lgWZEHC4yNfPL53wxe0bARCHctcskY1iOXT1XiQJqyf3bjsZ4pw2dEaMB1kAR2MZDxiN2vNuZ1Y_YyZfhk_1k5S6aQ$ 

Kind regards,

Dr. Veronica Gil-Costa
Dr. Alonso Inostrosa Psijas
Guest Editors