04:20 PM - 06:05 PM (105 min)
Lorenzo Ennoggi, Jay Kalinani, and Federico Lopez Armengol (Rochester Institute of Technology and University of Padova)
Abstract: With an increasing demand of extensive parallel computing in numerical simulations addressing various astrophysical problems, codes which can efficiently work on GPUs are the need of the hour. In the first part of this tutorial, we will provide a short introduction on CarpetX, a new driver for the Einstein Toolkit. Next, we will briefly discuss features of a new general relativistic (magneto)hydrodynamic code AsterX, based on CarpetX, which is designed to work on GPUs. AsterX also takes advantage of the block-structured adaptive mesh refinement provided by CarpetX through the AMReX framework. The second part of the tutorial will be a hands-on session during which participants will work on a few basic examples based on CarpetX, followed by a test simulation performed with AsterX on a GPU.
For the hands-on part of the tutorial we will be using a cloud based environment to simplify setting up the toolkit, hosted at Perimeter Institute of Theoretical Physics.
There are two different environments offered:
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New button in the file listingrm -rf $HOMEControl Panel button then Stop My ServerThis will restore all files to the state they were at your initial login.