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In the table below 4.Equ means Equations and Algorithms, 5.Ver means Verification, 6.Perf - Performance, 7. Val - Validation, - competed, - in progress, - not done
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OpenMP threading in MPAS-Ocean
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Requirements
Requirement: bit-for-bit
Date last modified: September 25, 2015
Contributors: Doug Jacobsen (Unlicensed)
Regardless of whether decomposition is flat MPI or hybrid MPI/OpenMP, simulation results are bit-for-bit identical.
Algorithmic Formulations
Design solution: element-based OpenMP
Date last modified: September 26, 2015
Contributors: Doug Jacobsen (Unlicensed)
After scoping and prototyping several different approaches, the algorithmic approach will employ loop-by-loop OpenMP directives.
Design and Implementation
Implementation: element-based OpenMP
Date last modified: September 26, 2015
Contributors: Doug Jacobsen (Unlicensed)
This section should detail the plan for implementing the design solution for requirement XXX. In general, this section is software-centric with a focus on software implementation. Pseudo code is appropriate in this section. Links to actual source code are appropriate. Project management items, such as svn branches, timelines and staffing are also appropriate. How do we typeset pseudo code?
Planned Verification and Unit Testing
Verification and Unit Testing: short-desciption-of-testing-here
Date last modified: September 26, 2015
Contributors: Doug Jacobsen (Unlicensed)
Since we require bit-for-bit, verification is straightforward. We will verify bit-for-bit across the full suite of MPAS-Ocean test cases.
Planned Validation Testing
Validation Testing: short-desciption-of-testing-here
Date last modified: September 26, 2015
Contributors: Doug Jacobsen (Unlicensed)
Since we require bit-for-bit, validation is not a part of this process.
Planned Performance Testing
Performance Testing: short-desciption-of-testing-here
Date last modified: September 26, 2015
Contributors: Doug Jacobsen (Unlicensed)
Performance evaluation will be carried out on (at a minimum) Edison and Mira. On both platforms, we will evaluate performance across a broad range of thread-per-MPI task. An example of our testing can be found in the file below. This testing will be conducted again at completion of the implementation.
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