Researcher Profile

Mark Coletti


I am a computer scientist with a research focus on evolutionary algorithms (EA) within a High Performance Computing (HPC) context.  EAs are well positioned to exploit HPC platforms because of their scalable and embarrassingly parallel nature, and ORNL is ideal for research in this area due to ready access to HPC platforms, such as Summit.

Asynchronous steady-state EAs (ASEA) are typically used for HPC-related work, and some of my most recent work entailed using ASEAs to optimize deep-learner (DL) hyper-parameters and architectures on Summit.  However, we are still getting an understanding of the unique dynamics of ASEAs to scale on very large, Summit-sized systems.  I am actively engaged in improving our understanding of ASEAs on such platforms to provide useful guidelines for practitioners that wish to use ASEAs to solve real-world problems.


George Mason University
Computer Science

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Last Updated: January 11, 2021 - 9:24 am