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. DASHMM can be applied to a number of application domains. To start learning how to use DASHMM, please visit User Guides and Tutorials. To download the latest version of DASHMM, please visit Get DASHMM, or for prior versions please visit Resources. To learn more about the DASHMM team, visit About DASHMM Team.



Funding for the DASHMM project is provided by the National Science Foundation.