Improving performance of the Hypre iterative solver for. Uintah combustion codes on manycore architectures using MPI Endpoints and Kernel Consolidation ?
The GPU performance was improved by fusing these micro kernels and was further optimized by using Cuda-aware MPI. The overall speedup of 1.26x to 1.44x was�...
This approach minimized OpenMP synchronization overhead, avoided slowdowns, performed as fast or (up to 1.5x) faster than Hypre's MPI only version, and allowed�...
The use of Hypre with OpenMP leads to at least 2x slowdowns due to OpenMP overheads, however. This behavior is analyzed and a solution proposed by using the MPI�...
The Hypre iterative solver has solved such systems in a scalable way for Uintah, but the use of OpenMP with Hypre leads to at least 2 � slowdown due to OpenMP�...
Improving performance of the hypre iterative solver for Uintah combustion codes on manycore architectures using MPI endpoints and kernel consolidation. D�...
Oct 18, 2020 � This approach minimizes OpenMP synchronization overhead and performs as fast or (up to 1.44�) faster than Hypre's MPI-only version, and allows�...
“Improving Performance of the Hypre Iterative Solver for Uintah Combustion Codes on Manycore Architectures Using MPI Endpoints and Kernel Consolidation,” In�...
Improving Performance of the Hypre Iterative Solver for Uintah Combustion Codes on Manycore Architectures Using MPI Endpoints and Kernel Consolidation.
Improved CPU performance of Hypre (linear equations solver) up to 2.4x on 256 KNLs (ANL's Bebop cluster) using MPI EndPoints and a new threading model.