Mateusz Paciorek - Desynchronized Information Propagation (...) | Lambda Days 2019

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DESYNCHRONIZED INFORMATION PROPAGATION FOR HIGHLY SCALABLE SIMULATIONS
by Mateusz Paciorek

ABSTRACT
Efficient information flow in complex, often micro-scale simulation systems is a challenging task. In previous work we presented the way to utilize Akka in the process of creating highly concurrent, distributed, message-driven simulation system. Mechanisms of Akka Actors and Akka Clustering proven to be efficient enough to provide near linear scalability in range of tens of thousands of computational cores. We delved further into this topic to ensure that developed method does not influence correctness of simulation. Experimental tests show that wide variety of simulations can be implemented using our framework with negligible impact on the results.

Read the full abstract: http://www.lambdadays.org/lambdadays2019/mateusz-paciorek

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THE SPEAKER - MATEUSZ PACIOREK
Enthusiast of too many things

PhD student at University of Science and Technology. Acquainted with HPC computation and omnipresent machine learning, currently focused on massively distributed simulation systems.

More on Mateusz Paciorek: http://www.lambdadays.org/lambdadays2019/mateusz-paciorek

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