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Optimizations with and for Supercomputers

Call for Papers

Large-scale computing in science and engineering requires development of optimal applications on supercomputers with tens of millions of cores; for example, the Sunway TaihuLight system delivers floating-point performance approximately 100 Petaflops/s. Other supercomputing systems, including the NUDT’s Tianhe-2, Cray’s XC40, XC50, and XK7, IBM’s Blue Gene, and Fujitsu’s K Computer, are the state of the art and diverse in architectures. To realize their potentials for achieving scalable performance, we must exploit the techniques of optimization such as task mapping and load balancing for a wide variety of applications such as optimizations using Markov Chain Monte Carlo methods, simulated annealing, genetic algorithms, machine learning, and solution of differential equations. These new accelerated optimizations will enable a new class of applications in engineering, science, and finance. On the other hand, optimization must be employed to enable design of more advanced architectures, particularly, the interconnection network and IO subsystems.

Potential topics include but are not limited to the following:

  • Discoveries of optimal network topologies including graph theory
  • Optimal routing algorithms
  • Task mapping and task scheduling
  • Load balance
  • Parallel Markov chain Monte Carlo methods for optimization
  • Optimizing benchmarks of computing systems

Authors can submit their manuscripts through the Manuscript Tracking System at

Submission DeadlineFriday, 29 June 2018
Publication DateNovember 2018

Papers are published upon acceptance, regardless of the Special Issue publication date.

Lead Guest Editor

Guest Editors

  • Meng Guo, National Supercomputer Center in Jinan, Jinan, China
  • Alexander Ramos, University of São Paulo, São Paulo, Brazil
  • Peng Zhang, Stony Brook University, Stony Brook, USA