PI: Hong Zhang, MCS

Description:  As the Aurora supercomputer will be built using GPUs, it is important for us to prepare PETSc for the upcoming challenges early. The goal of this project is to test PETSc’s configuration and build system on GPU , benchmark some selective linear algebra kernels in PETSc on GPU, identify the performance bottlenecks, and improve the workflow, data structures and algorithms to better utilize the GPU resources.

Testbed: KNL Nodes