@inproceedings{84c33ef3f36d41f3886df5c2153f1167,
title = "High-Performance Programming and Execution of a Coral Biodiversity Mapping Algorithm Using Chapel",
abstract = "This paper will demonstrate how the parallelism and expressiveness of the Chapel programming language are used to achieve an enormous improvement in computational speed for a problem related to coral reef conservation. Chapel's concise syntax and versatile data structures enable this problem to be solved in under 300 lines of code, while reducing the time to solution from days down to the order of seconds. This improvement is so substantial that it represents a paradigm shift in the way biodiversity can be measured at scale, providing a wealth of novel information for marine ecosystem managers and opening up brand new avenues for scientific inquiry. This paper will review the solution strategy and data structures in Chapel that allowed these improvements to be realized, and will preview future extensions of this work that have been made possible by this drastic speedup.",
keywords = "Chapel, Rao's Q, coral reef, ecosystem, habitat heterogeneity",
author = "Scott Bachman and Rebecca Green and Anna Bakker and Helen Fox and Sam Purkis and Ben Harshbarger",
note = "Publisher Copyright: {\textcopyright} 2023 ACM.; 2023 International Conference on High Performance Computing, Network, Storage, and Analysis, SC Workshops 2023 ; Conference date: 12-11-2023 Through 17-11-2023",
year = "2023",
month = nov,
day = "12",
doi = "10.1145/3624062.3624599",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
pages = "1162--1170",
booktitle = "Proceedings of 2023 SC Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis, SC Workshops 2023",
address = "United States",
}