Topics of interest, formatting and submission instructions, and important dates.
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 for maximum 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:
The 1st Workshop on Evolutionary Algorithms in HPC will be part of the 2021 Genetic Algorithms and Evolutionary Computation Conference (GECCO 2021). The workshop will be held as a 110 minute session event held during the conference. GECCO 2021 was originally scheduled to take place in Lille, France, but is now an all virtual conference due to the global COVID-19 pandemic and we will continue to follow GECCO with plans regarding the virtual format. For more information regarding the virtual format, please see the conference website.
The dates are subject to change.
|Submission opening||February 11, 2021|
|Submission deadline||April 12, 2021|
|Notification of paper acceptance||April 26, 2021|
|Camera-ready submission of accepted papers||May 3, 2021|
|Workshop||July 10, 2021 - 4-5:50pm (GMT+2)|
We will update the exact date of the workshop once it has been decided by the conference workshop committee.