Skip to content

Accelerated Integration #77

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom
Draft
dimitrivlachos wants to merge 63 commits into
base: main
Choose a base branch
from
Draft

Accelerated Integration #77

dimitrivlachos wants to merge 63 commits into from

Conversation

@dimitrivlachos
Copy link
Collaborator

@dimitrivlachos dimitrivlachos commented Dec 3, 2025 •
edited
Loading

WIP PR for the full accelerated integration step

@dimitrivlachos
Create base arg_parser as common infrastructure
86af513
@dimitrivlachos
Refactor argument parsing by creating SpotfinderArgumentParser class
b213f80
@dimitrivlachos
Add integrator module with CMake configuration and basic file layout
920e7f3
@dimitrivlachos
Include common libraries
87d758c
@dimitrivlachos
Add basic arg parsing and file handling
692ab9b
@dimitrivlachos
Refactor arg parsing for distinct modules
056827e
@dimitrivlachos
Implement CPU Kabsch coordinates computation
deedc34
@dimitrivlachos
Add DeviceBuffer class for managing CUDA device memory with RAII
a132f51
@dimitrivlachos
Add Vector3D class for CUDA-compatible 3D vector mathematics
bc8e8f5
@dimitrivlachos
Add CUDA implementation and header for Kabsch coordinate transformations
3d81b11
@dimitrivlachos
Refactor integrator to use CUDA Kabsch implementation
0e98c69
@dimitrivlachos
Implement CPU bounding box extent computation
7bd08d4
@dimitrivlachos
Refactor main to test transform and bbox computations
b408e38
@dimitrivlachos
Refactor and optimise vector3d.cuh to utilise cuda native vector types
596ecd7
@dimitrivlachos
Add centralized precision configuration for CUDA device code
7e6a6b0
@dimitrivlachos
Add common math utility functions for CUDA
c7f2079
@dimitrivlachos
Update type configuration
83eabaa
@dimitrivlachos
Add CUDA implementation for Kabsch bounding box extent computation
0e60648
@dimitrivlachos
Rename kabsch functions for clarity
4188737
@dimitrivlachos
Refactor integrator to utilise CUDA bbox computation
fe7549f
@dimitrivlachos
Add baseline integrator with CPU algorithms from testing
e1fdc82
@dimitrivlachos
Update from main
5c4a5c1
@dimitrivlachos
Add missing Eigen dependency
600442f
@dimitrivlachos
Refactor arg parser to require app specific hdf5 implementation
255adde
@dimitrivlachos
Merge remote-tracking branch 'origin' into integration
fad7c47
@dimitrivlachos
Apply precommit code format
eb767d9
@dimitrivlachos
Update reader to require flags
67de660
@dimitrivlachos
Add basic integration test
2aeb113
@dimitrivlachos
Fix formatting in Docker Image CI workflow
5ec1191
@dimitrivlachos
Add initial framework for multi-threaded image read and decompression
2eb399c
@dimitrivlachos dimitrivlachos requested review from jbeilstenedmands and removed request for jbeilstenedmands December 4, 2025 11:11
@dimitrivlachos dimitrivlachos changed the title Lay foundation for integration Integration Dec 8, 2025
@dimitrivlachos dimitrivlachos self-assigned this Dec 9, 2025
@dimitrivlachos dimitrivlachos changed the title Integration Accelerated Integration Dec 10, 2025
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Reviewers

No reviews

Assignees

@dimitrivlachos dimitrivlachos

Labels

None yet

Projects

None yet

Milestone

No milestone

Development

Successfully merging this pull request may close these issues.

2 participants

@dimitrivlachos