Comments (2)
In the AMR library based on Charm, MPI or any other load balancing techniques are independent of the computation inside a cell.
Each cell has its own local data for computing and they have the same amount of data. The refinement or coarsening is to increase or reduce the number of cells rather than changing the data amount inside a cell.
Load balancing is used to distribute the cells to different nodes for better parallelism, but doesn't affect the computing inside a cell directly.
Our goal is using metadirective to speed up the computing in all cases. For AMR in Charm, if the cell size is very large in an application, which indicates it has more data, the computing should be offloaded to GPU. It's irrelevant to how many cells there are in the application. Load balancing is responsible for that subject.
from llnl-work-notes.
Added to Overleaf.
MPI is used for load balancing for the outer parallelism, such as to distribute part fo AMR mesh to a compute node.
After that, within an MPI rank, the computing could be performed sequentially or in parallel by OpenMP, OpenACC, or CUDA. This is the inner-parallelism.
Metadirective is used for the inner-parallelism and doesn't affect the load balancing.
from llnl-work-notes.
Related Issues (20)
- Test Stencil on Pascal HOT 3
- Create a model for the computing that has multiple independent stages or portions HOT 3
- Create a metadirective guiding model named constant performance modeling HOT 1
- Test 2D stencil on Surface HOT 1
- Compare the performance of CPM HOT 1
- Compare FPM performance HOT 2
- Add CPM, FPM and ODDC related works to Overleaf
- Regenerate CPM and FPM testing results on Surface, Pascal and Lassen HOT 1
- Add the improvements to FreeCC since last publication to Overleaf HOT 1
- Provide a new metric to compare the models being evaluated HOT 9
- Add a feature in FreeCC to pass a file from container to the host HOT 1
- Find in ROSE where exactly Clang is called to create its own AST
- Revise ODDC description HOT 1
- Add Clang/LLVM background to FreeCC paper on Overleaf HOT 1
- Add ROSE background to FreeCC paper on Overleaf HOT 1
- Complete the TODO items in the FreeCC paper HOT 1
- Review the pull requests to FreeCC HOT 1
- Read the modeling papers from Dr. Liao and maybe use some of them
- Regenerate the table of detailed results HOT 1
- Rearrange the diagrams of testing results HOT 1
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from llnl-work-notes.