Parthenon: A Performance Portable Block-Structured Adaptive Mesh Refinement Framework

Parthenon is a performance portable block-structured adaptive mesh refinement framework.

We are currently in the process of migrating to new documentation here. The old documentation can be found in markdown here.

Key Features

• Device first/device resident approach (work data only in device memory to prevent expensive transfers between host and device)

• Transparent packing of data across blocks (to reduce/hide kernel launch latency)

• Direct device-to-device communication via asynchronous, one-sided MPI communication

• Intermediate abstraction layer to hide complexity of device kernel launches

• Flexible, plug-in package system

• Abstract variables controlled via metadata flags

• Support for particles

• Multi-stage drivers/integrators with support for task-based parallelism

Community

• Chat room on matrix.org

Contents:

• How to Use Sphinx for Writing Docs

Indices and tables

• Index

• Module Index

• Search Page