Call for Papers: Special Issue on "Emerging Tools and Techniques for Multi-Core and Many-Core Systems"

Guest Editorial Team:

  • Dr. Carlos Enrique Montenegro Marin, District University Francisco José de Caldas, Bogotá, Colombia
  • Dr. Xuyun Zhang, Macquarie University, Australia
  • Dr. Nallappan Gunasekaran, Shibaura Institute of Technology, Saitama 337-8570, Japan.

Currently, the digital revolution has begun, and high-performance computing (HPC) is at the forefront. Consequently, computing infrastructures are experiencing a tremendous shift from traditional network infrastructures to a well-balanced and more optimized computing platform.  As the evolution of HPC has made the computation faster and easier than on-premises, business organizations require to accommodate it to remain competitive over the future decades and beyond. It is ultimately one of the best ways to provide new innovative computing power to meet the emerging demands of big data applications. This is because the effective utilization of computing resources has become a significant challenge as businesses penetrate new marketplaces and personalize the user experiences. Further, the demand to process the big data resources has reached double the capacity of parallel and distributed systems in the last decades. To date, ways to accelerate conventional computing platforms with HPC is still on research, but it rapidly changes with growing big data requirements. Exploring advanced tools and techniques for multi-core and many-core systems is typically the appropriate way to unlocks the potential of HPC so that end-users can access its capacity to complete. Multi-core and many-core systems are the trendsetters today that executes tasks on an independent execution core in a concurrent manner. Besides, multi-core and many-core systems are now applied across a wide range of computation problems and across industries to solve large-scale computational problems in a timely and efficient manner. Some of its typical advantages include reduced time delay, improved performance, reliability, robustness, system efficiency, and lesser computation power requirements. Despite the advantages, multi-core and many-core systems require a new generation of tools and techniques to realize the potential of HPC applications. These tools and techniques must address the fundamental challenges possessed by multi and many-core systems such as scalable parallelism, resource sharing, and heterogeneity. This special issue offers the researchers an opportunity to better understand the possibilities of multi-core and many-core systems in the coming decade and the possibility of innovating emerging tools and paradigms. The key objective is to explore more advanced techniques, algorithms, programming models, methodologies, and frameworks for multi-core and many-core systems in the context of HPC. The topic of interest includes the following:Advanced programming languages and tools for multi-core and many-core systemsInnovative programming models and algorithms for next generation multi-core and many-core systemsMemory consistent programming models for multi-core and many-core systemsEffective ways of achieving scalable parallelism in multi-core and many-core applicationsResource sharing in multi-core and many-core systemsEmbedded design methodologies for multi-core and many-core systemsInnovative architectures and interconnectsEnergy efficiency in multi-core and many-core systems from a future perspectiveCurrent trends in multi and many-core processing with future applicationsShared memory architectures and technologies Application mapping, scheduling, and resource management in a changing real-time environmentAdaptive run-time optimization approaches for multi and many-core systemsImportant Dates: 

  • Paper Submission Deadline: October 30, 2021
  • Author Notification: December 18, 2021
  • Revised Papers Submission: February 25, 2022
  • Final Acceptance: April 20, 2022