DASHMM

Dynamic Adaptive System for Hierarchical Multipole Methods

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DASHMM

The Dynamic Adaptive System for Hierarchical Multipole Methods (DASHMM) is a flexible, extensible library implementing multipole methods using a dynamic and adaptive computational approach. DASHMM is designed to easily allow users to create tools usable in production-level end science that display significantly improved strong scaling and efficiency for these applications.

More details about the project can be found under Details. To start learning how to use DASHMM, please visit the DASHMM Tutorial. To download the latest version of DASHMM, please visit Resources. To learn more about the DASHMM team, visit DASHMM Team.

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Acknowledgments

DASHMM was initially funded by the NSF.