The wide variety of parallel and distributed versions of EAs make them an ideal candidate for use with HPC systems.
Consequently, EAs have gathered considerable attention for their ability to accelerate finding solutions for a variety of computationally expensive problem domains, including reinforcement learning, neural architecture search, and model calibration for complex simulations.
However, use of HPC resources adds an implicit secondary objective of ensuring those resources are efficiently used. This means that practitioners have to make decisions regarding evolutionary algorithms tailored to maximumize HPC resource use, as well as associated software and hardware support. New EA-oriented HPC benchmarks might also be needed to guide practitioners in making those decisions.
We are looking for papers on the following sub-topics to facilitate discussion:
Please note that the dates are subject to change.
|Submission opening||February 11, 2022|
|Submission deadline||April 11, 2022|
|Notification of paper acceptance||April 25, 2022|
|Camera-ready submission of accepted papers||May 2, 2022|
|Author registration deadline||May 2, 2022|
The 2nd Workshop on Evolutionary Algorithms in HPC will be part of the 2022 Genetic Algorithms and Evolutionary Computation Conference (GECCO 2022) in Boston, Massachusetts, USA. The workshop will be held as a 110 minute virtual session event during the conference.