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Copilot AI commented Nov 16, 2025

Description of the feature or the bug

The I25norm.F file contained substantial code duplication and inefficient arithmetic patterns affecting performance in interface type 25 (edge-to-edge contact) computations.

Description of the changes

Code Consolidation (I25TAGN subroutine)

  • Merged duplicate FLAGREMN conditional blocks (~140 lines) into unified loops with internal conditionals
  • Consolidated redundant edge processing sections that were computing the same operations twice
  • Reduced from separate IF/ELSE paths to single loop with conditional logic

Arithmetic Optimization (I25NORMP, I25ASSNP subroutines)

  • Split normalization operations for better instruction scheduling:
! Before: nested operations prevent optimization
AAA=RUN/MAX(REM30,SQRT(XN1(I)*XN1(I)+YN1(I)*YN1(I)+ZN1(I)*ZN1(I)))

! After: separated dot product enables better pipelining
AAA=XN1(I)*XN1(I)+YN1(I)*YN1(I)+ZN1(I)*ZN1(I)
AAA=RUN/MAX(REM30,SQRT(AAA))

Impact

  • Net reduction: 91 insertions, 136 deletions (-45 lines)
  • Enhanced compiler vectorization opportunities
  • Improved instruction cache utilization
  • Single code paths improve maintainability

All algorithm logic preserved exactly; changes are purely structural optimizations.

Original prompt

I would like to optimize the file I25norm.F.
Let's focus on performance.


💡 You can make Copilot smarter by setting up custom instructions, customizing its development environment and configuring Model Context Protocol (MCP) servers. Learn more Copilot coding agent tips in the docs.

…ove arithmetic operations

Co-authored-by: laurent-altr <[email protected]>
Copilot AI changed the title [WIP] Optimize performance of I25norm.F file Optimize I25norm.F: eliminate code duplication and improve arithmetic efficiency Nov 16, 2025
Copilot AI requested a review from laurent-altr November 16, 2025 22:27
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2 participants