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Illya Shapoval

illya shapoval
Illya Shapoval
Postdoc

A member of ATLAS and a former member of LHCb, the two of four frontier high energy physics (HEP) experiments of the world leading Large Hadron Collider Project @CERN, as well as an active participant of the major Upgrade Initiative for GAUDI – an experiment independent software framework used in several frontier HEP experiments throughout the world (among which stand ATLAS, LHCb, FGST, DayaBay, MINERνA), Illya Shapoval is developing the core software solutions for high-throughput, massively concurrent, scalable and adaptive data processing in the next generation of post-2020 HEP experiments. In this context, the horizon of problems he is currently focused on embraces predictive task scheduling algorithms for generic, adaptive and non-intrusive throughput maximization in conditions of non-deterministic task sets and precedence patterns, analytics-based decision making systems for low-latency run-time resolution of irregular task constraints, as well as proactive task scheduling techniques for generic throughput maximization in the context of heterogeneous computing.