Ultra-scale Parallel Discrete Event Applications
نویسنده
چکیده
Lately, an increasing number of critical applications, which are traditionally not supercomputing-based, are now evolving to warrant high end computing capabilities (e.g., in emergency/event planning and response). In contrast to traditional scientific computing methods, these applications use discrete event simulation approaches, and hence require the development of new, highly scalable techniques and engines for parallel discrete event simulation (PDES). At the Oak Ridge National Laboratory (ORNL), we are involved in multiple projects that are focused on various facets of such applications, and are faced with their related computational challenges. The applications are characterized by their scale (several millions of simulated entities), their need for fast simulation of multiple scenarios (thousands of alternatives explored as fast as possible for reasoning, understanding and refining the models or solutions), and their (re)configuration based on large-sized dynamic data.
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