EditorialOn the road to exascale: Advances in High Performance Computing and Simulations—An overview and editorial
Section snippets
HPC hardware, software and applications domains
Advances in computer hardware and organization continue to show phenomenal growth. This includes the development of fast processors, new accelerators, and multicore chips. They also comprise of larger and faster memory designs and new interconnects. However, several hardware challenges that are related to the scalability and availability of the new and emerging processor architectures (e.g., cores, accelerating techniques and reconfigurables), memory and storage techniques, interconnect and
Themes of this special issue
This special issue “On The Road to Exascale: Advances in High Performance Computing and Simulations” contains selected research papers addressing the state-of-the-art and novel research directions on theoretical and practical aspects of high performance and large-scale computing systems, their use in modeling and simulations, their design and use, and their impact on emerging applications and domains. We received 30 proposals and 24 manuscripts were submitted for consideration. The majority of
Conclusions
The articles presented in this special issue provide examples of recent advances in High Performance Computing and simulations. Manuscripts address and explore challenges and current state-of-the-art in the domain of large-scale contemporary HPC systems. In particular, the articles tackle scalability and availability issues at hardware, system, and application levels, including data centers and cloud computing infrastructures, big data access and visualization, multicore and many-core
Acknowledgments
The Guest Editors of this special issue would like to express their special thanks to the Future Generation Computer Systems (FGCS) Editor in Chief Prof. Peter Sloot, for his strong support in helping with this special issue “On the Road to Exascale: Advances on High Performance Computing and Simulations”. We are also grateful to all of the authors who submitted their papers to this special issue and for their substantial efforts in considering reviewers comments and suggestions. We sincerely
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2020, Future Generation Computer SystemsCitation Excerpt :In this sense, it is expected that exascale computers will allow a significant decrease in the execution time required by B&B algorithms to solve COP instances to optimality. However, such large scale systems are going to be complex to program, and efforts towards productivity are crucial for better exploiting this future generation of computers [9,10]. The objective of the present research is to investigate whether it is possible to use a high-productivity language for efficient implementation of distributed B&B algorithms for solving COPs.
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