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GSoC 2025 ‐ Aayush Khanna

Aayush Khanna edited this page Aug 26, 2025 · 38 revisions

About me

Hey there! I'm Aayush Khanna from Noida, Uttar Pradesh, India. I am a third year undergrad pursuing civil engineering at the Indian institute of Technology (BHU), Varanasi. I am interested in all things related to tech in general! more recently, I've been trying to learn how interpreters work. I am also a huge football enthusiast :)

Project overview

My project aims to advance the state of LAPACK routines in stdlib, by extending conventional LAPACK APIs which ensures easy compatibility with stdlib ndarrays and adding support for both row-major (C-style) and column-major (Fortran-style) storage layouts. The project covers both lower level helper routines and higher level user facing routines. To further optimize these routines, techniques such as loop reordering and loop tiling were be used. A lot of time was spent on benchmarking and testing of these routines against the actual LAPACK implementations as well! The initial goal was to cover all LAPACK routines up to dgeev but we didn't quite make it there unfortunately.

Project recap

I started off by parsing the LAPACK source code into a directed graph where the nodes represent a LAPACK routine and the edges represent dependencies between these routines. To pick out which routines to work on first, I performed a topological sorting and started working on the ones with no dependencies. I've documented the process in this repository!

After that I started implementing these routines one by one, my workflow consisted of writing a base API that took strides and offsets as input parameters, this was to be kept private and not exported. Then I would make the ndarray wrappers over that and another API that was consistent with the LAPACK function signature.

To ensure consistency with the LAPACK function signatures, we have had to use a single element Float64Array to pass elements by value, for example in dlacn2 the LAPACK API is:

SUBROUTINE DLACN2( N, V, X, ISGN, EST, KASE, ISAVE )

where KASE is an integer value that changes repeatedly between multiple function calls to dlacn2. Hence, to pass the variables by reference we used a single-element typed array, that would make out JavaScript API to be:

function dlacn2( N, V, strideV, offsetV, X, strideX, offsetX, ISGN, strideISGN, offsetISGN, EST, offsetEST, KASE, offsetKASE, ISAVE, strideISAVE, offsetISAVE )

Completed work

TODO: include a list of links to all relevant PRs along with a short description for each. For small bug fix PRs, you can group them together and describe them as, e.g., "various maintenance work".

Current state

TODO: add a summary of the current state of the project.

What remains

TODO: add a summary of what remains left to do. If there is a tracking issue, include a link to that issue.

Challenges and lessons learned

TODO: add a summary of any unexpected challenges that you faced, along with any lessons learned during the course of your project.

Conclusion

TODO: add a report summary and include any acknowledgments (e.g., shout outs to contributors/maintainers who helped out along the way, etc).

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