matlab-upgrade-mex-ic
Upgrade C, C++, and Fortran MEX source files from the Separate Complex (SC) API to the Interleaved Complex (IC) API
Install / Use
npx skills add matlab/matlab-agentic-toolkit --skill matlab-upgrade-mex-icInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Development & EngineeringSupported Platforms
Our assessment of matlab-upgrade-mex-ic
matlab-upgrade-mex-ic scores 90/100 on our quality scale, 1539th of 4,582 Development & Engineering skills we index (top 34%).
Its SKILL.md is 19 KB long, well organised into 24 sections with 10 code examples: a thorough specification that gives an agent plenty to work with.
With 1,098 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 21 days ago, so matlab-upgrade-mex-ic is actively maintained.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 88/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
matlab-upgrade-mex-ic compared with similar skills
All 4 of these similar skills score higher than matlab-upgrade-mex-ic; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| matlab-upgrade-mex-ic (this skill)by matlab | 90 | 1.1k | 21d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 92.6k | 21d ago | CLAUDE.md |
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Frequently asked questions
- How do I install matlab-upgrade-mex-ic?
- Run
npx skills add matlab/matlab-agentic-toolkit --skill matlab-upgrade-mex-ic. The install tabs above show the steps for each supported agent. - Which AI agents does matlab-upgrade-mex-ic work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is matlab-upgrade-mex-ic safe to use?
- It declares no license and scores 88/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is matlab-upgrade-mex-ic still maintained?
- The repository was last updated 21 days ago, so matlab-upgrade-mex-ic is actively maintained.
Skill content
View source on GitHubname: matlab-upgrade-mex-ic description: > Upgrade C, C++, and Fortran MEX source files from the Separate Complex (SC) API to the Interleaved Complex (IC) API. Use when converting mxGetPr/mxGetPi to mxGetComplexDoubles, migrating MEX files to -R2018a, adding MX_HAS_INTERLEAVED_COMPLEX guards for SC/IC guarded builds, or modernizing legacy MEX code that uses mxGetData/mxSetData/mxGetImagData/mxSetImagData. Covers C (.c), C++ (.cpp, .cxx), and Fortran (.F, .f90) MEX functions. Triggers on: interleaved complex, IC MEX, mex upgrade, mex migration, separate complex, mxGetPi, mxGetPr replacement, -R2018a, complex MEX, Fortran MEX, .F MEX file, C++ MEX, .cpp MEX file, MEX performance, MEX slow complex, MEX call overhead, improve MEX performance complex. license: https://www.mathworks.com/content/dam/mathworks/license/pmrl/license.md metadata: author: MathWorks version: "1.0"
Upgrade MEX Files to Interleaved Complex API
Convert C, C++, and Fortran MEX source files from the Separate Complex (SC) API to the Interleaved Complex (IC) API, following the MathWorks upgrade workflow with guardrails for SC/IC guarded builds using MX_HAS_INTERLEAVED_COMPLEX, required vs recommended changes, and verification.
When to Use
- User has a C, C++, or Fortran MEX file using
mxGetPr/mxGetPi,mxGetData/mxGetImagData, ormxSetPr/mxSetPi - User wants to build with
mex -R2018a - User asks about interleaved complex, IC MEX, or modernizing MEX code
- User has legacy MEX code from File Exchange, GitHub, or pre-R2018a era
- User has a C++ MEX file (
.cpp,.cxx) using the C Matrix API (mxGetPr/mxGetPi, etc.) - User has a Fortran MEX file (
.F,.f90) usingmxGetPr/mxGetPivia%val()pointers - User reports a MEX function is slow on large complex arrays (call overhead, not loop)
- User asks how to improve MEX performance for complex data
When NOT to Use
- Writing a new MEX function from scratch — no conversion needed, but advise the user to use IC APIs (
mxGetDoubles,mxGetComplexDoubles, etc.) from the start for better performance on complex data and modern, type-safe data access instead of legacymxGetPr/mxGetPi - C++ MEX API (
matlab::mex::Function) — different API entirely; this skill covers C++ files that use the C Matrix API (mex.h), not the MATLAB Data API for C++ and C++ Engine - MEX file already uses typed accessors (
mxGetDoubles,mxGetComplexDoubles, etc.) — already IC-compatible, no conversion needed
Workflow
Follow these 7 steps in order. Do NOT skip steps.
Step 1: Pre-Upgrade Verification
Before changing anything, understand the current state:
- Read the source file completely
- Identify all SC API calls (see Key API Mappings)
- Note which data types the MEX handles (double, single, int32, etc.)
- Note whether it handles complex data (
mxGetPi,mxIsComplex,mxCOMPLEX)
Report to the user:
- Number of SC API calls found
- Whether file processes complex numbers (complex arrays in SC mode incur deinterleave/re-interleave overhead)
- Performance impact: If the file handles complex data, note that SC MEX calls incur O(n) deinterleave/re-interleave copies at the MATLAB boundary. For large arrays, IC conversion eliminates this overhead entirely (see Performance Benefits).
- Any other issues noticed (missing error checking, etc.)
Step 2: Output File Decision
ASK the user before proceeding:
"Where should I write the converted code?
- New file — creates a separate file (e.g.,
<name>_ic.cor<name>_dual.c), preserving the original untouched- Modify in place — edits the original file directly. Choose this if the file is under version control and you can revert if needed."
If user chooses new file, use these naming defaults (or a user-specified name):
- IC-only:
<name>_ic.c/<name>_ic.F - SC/IC guarded:
<name>_dual.c/<name>_dual.F
If user chooses modify in place, confirm the file is recoverable (e.g., "This file is tracked by git — you can revert with git checkout <file> if needed."). Then edit the original directly.
Tell the user which file you're writing to and why.
Step 3: Decision Point — IC-Only or SC/IC Guarded?
What is "SC/IC guarded"? A single source file that uses
#if MX_HAS_INTERLEAVED_COMPLEXpreprocessor guards to compile under both the Separate Complex API (mex -R2017b) and the Interleaved Complex API (mex -R2018a). The compiler definesMX_HAS_INTERLEAVED_COMPLEX=1in IC mode and0in SC mode, so the guards select the correct code path at build time.
ASK the user before proceeding:
"Do you need this MEX file to compile under both the old SC API and the new IC API?
- SC/IC guarded — wraps code in
#if MX_HAS_INTERLEAVED_COMPLEX/#elseguards so the same source builds with bothmex -R2017b file.c(SC mode) andmex -R2018a file.c(IC mode). Choose this if you support multiple MATLAB versions.- IC-only — converts fully to IC API. Requires
mex -R2018ato build. Simpler code but only works on R2018a+."
If user chooses SC/IC guarded, use the #if MX_HAS_INTERLEAVED_COMPLEX preprocessor pattern:
C/C++ files:
#if MX_HAS_INTERLEAVED_COMPLEX
/* IC code path */
mxComplexDouble *pc = mxGetComplexDoubles(prhs[0]);
#else
/* SC code path */
double *pr = mxGetPr(prhs[0]);
double *pi = mxGetPi(prhs[0]);
#endif
Fortran files (.F preprocessed source):
#if MX_HAS_INTERLEAVED_COMPLEX
mwPointer mxGetComplexDoubles
complex*16, pointer :: pc(:)
call mxGetComplexDoubles(prhs(1), pc)
#else
mwPointer mxGetPr, mxGetPi
mwPointer pr, pi
pr = mxGetPr(prhs(1))
pi = mxGetPi(prhs(1))
#endif
Fortran note: SC/IC guarded Fortran files MUST use
.Fextension (uppercase) so the MEX compiler invokes the C preprocessor. The.for.f90extension skips preprocessing and#ifguards will not work. For.f90files that cannot use preprocessor guards, use IC-only conversion.
If user chooses IC-only, convert directly without guards.
Step 4: Iterative Refactoring
All legacy data-access APIs are REQUIRED to be converted for a complete IC upgrade. Convert every pattern in this table:
| Legacy Pattern | Replacement | Reason |
|----------------|-------------|--------|
| mxGetPi(arr) for data access | mxGetComplexDoubles(arr) + .imag | Does not exist in IC |
| mxSetPi(arr, ptr) | mxSetComplexDoubles(arr, ptr) | Does not exist in IC |
| mxGetImagData(arr) | Type-specific complex accessor | Does not exist in IC |
| mxSetImagData(arr, ptr) | Type-specific complex setter | Does not exist in IC |
| mxGetPi(arr) != NULL for complexity check | mxIsComplex(arr) — works in both SC and IC | Does not exist in IC |
| mxGetPr(arr) | mxGetDoubles(arr) | Wrong results on complex arrays in IC; untyped |
| mxSetPr(arr, ptr) | mxSetDoubles(arr, ptr) | Wrong results on complex arrays in IC; untyped |
| mxGetData(arr) + void* cast | Type-specific accessor (mxGetDoubles, mxGetInt32s, etc.) | Wrong results on complex arrays in IC; untyped |
| mxSetData(arr, ptr) | Type-specific setter (mxSetDoubles, mxSetInt32s, etc.) | Wrong results on complex arrays in IC; untyped |
Why all REQUIRED?
mxGetPr/mxGetDataon complex arrays in IC mode return a pointer to interleaved data (real and imaginary interleaved) — iterating as if it were real-only gives wrong results silently. On real-only arrays they still work, but are untyped (void*or alwaysdouble*). When upgrading to IC, convert everything in one pass for correctness and type safety.
See references/pitfalls.md for common conversion mistakes (complexity checks, output allocation, buffer sizing, Fortran interleaved layout).
Reducing Code Duplication in SC/IC Guarded Mode
In SC/IC guarded mode, minimize duplication by guarding only the accessor calls, not entire logic blocks.
C/C++ files:
/* Guard only the pointer acquisition — logic stays shared */
double *pr_in, *pr_out;
#if MX_HAS_INTERLEAVED_COMPLEX
pr_in = mxGetDoubles(prhs[0]);
#else
pr_in = mxGetPr(prhs[0]);
#endif
plhs[0] = mxCreateDoubleMatrix(m, n, mxREAL);
#if MX_HAS_INTERLEAVED_COMPLEX
pr_out = mxGetDoubles(plhs[0]);
#else
pr_out = mxGetPr(plhs[0]);
#endif
/* Shared logic — no duplication */
for (i = 0; i < numElements; i++) {
pr_out[i] = pr_in[i] * factor;
}
Fortran files (.F):
c Guard only the pointer acquisition
#if MX_HAS_INTERLEAVED_COMPLEX
pr_in = mxGetDoubles(prhs(1))
#else
pr_in = mxGetPr(prhs(1))
#endif
c Shared logic — no duplication
call mxCopyPtrToReal8(pr_in, data, numElements)
do i = 1, numElements
data(i) = data(i) * factor
end do
For complex data, the layout differs between modes (interleaved struct vs separate arrays), so full #if/#else blocks around the logic are unavoidable.
Rule of thumb:
- Real data paths — guard only the accessor, share the loop
- Complex data paths — guard the entire block (different data layouts require different loop bodies). See
references/api-mappings.md§ "SC/IC Guarded Pattern" for full complex loop examples in C, C++, and Fortran.
See references/api-mappings.md for the complete function mapping table.
Step 5: Build
Provide the exact build commands (adjust extension for language):
% C/C++ files
mex -R2018a <filename>.c % Explicit IC mode
mex -R2017b <filename>.c % Explicit SC mode
mex <filename>.c % Default (version-dependent)
% For C++: same flags with .cpp or .cxx extension
mex -R2018a <filename>.cpp % Explicit IC mode
% Fortran files (.F with preprocessor guards)
mex -R2018a <filename>.F % Explicit IC mode
mex -R2017b <filename>.F % Explicit SC mode
mex <filename>.F % Default (version-dependent)
If the file is SC/IC guarded, remind the user to test all three build modes: -R2017b (SC), -R2018a (IC), and default (no flag).
Fortran: Files must use
.F(uppercase) extension for preprocessor guards to work. If the source is.for.f90, rename to.For.F90when adding#ifguards.
Step 6: Verify
Provide MATLAB test commands that compare the converted MEX against the original.
For IC-only conversions (separate source files):
%% Build original with SC, converted with IC
mex -R2017b originalFile.c -output func_sc % Explicit SC build
mex -R2018a convertedFile_ic.c -output func_ic % Explicit IC build
%% Compare outputs
Z = complex(rand(4,4), rand(4,4));
assert(isequal(func_sc(Z), func_ic(Z)), 'Output mismatch!');
For SC/IC guarded files (same source, three build modes):
%% Build same source in all three modes
mex -R2017b convertedFile.c -output func_sc % Explicit SC (forces separate complex)
mex -R2018a convertedFile.c -output func_ic % Explicit IC (forces interleaved complex)
mex convertedFile.c -output func_default % Default (no API flag)
%% Compare outputs — all three must match
Z = complex(rand(4,4), rand(4,4));
out_sc = func_sc(Z);
out_ic = func_ic(Z);
out_default = func_default(Z);
assert(isequal(out_sc, out_ic), 'SC vs IC mismatch!');
assert(isequal(out_sc, out_default), 'SC vs default mismatch!');
Always test with:
- Complex inputs (if the MEX handles complex data)
- Real inputs (if the MEX handles real data)
- Edge cases: empty arrays, scalars, large arrays
- All three build modes:
-R2017b(SC),-R2018a(IC), and default (no flag) - The original source file still compiles with
mex -R2017b(confirms it was not modified)
Step 7: Document
Add build information to the converted file's header comment:
/*
* Compile (Interleaved Complex API, R2018a+):
* mex -R2018a filename.c
*
* Original (Separate Complex API):
* mex or
Truncated for display — read the full file on GitHub.
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