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Feature alpaka #8

Merged
merged 62 commits into from
Jan 19, 2024
Merged

Feature alpaka #8

merged 62 commits into from
Jan 19, 2024

Commits on Jan 18, 2024

  1. Start implementing the alpaka version of the algorithm

    @sbaldu
    sbaldu committed Jan 18, 2024
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  2. Add Points and PointsAlpaka data structures

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  3. [feature_alpaka] write convolutional kernels with alpaka

    @slanzi00 @sbaldu
    slanzi00 authored and sbaldu committed Jan 18, 2024
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  4. Include cms VecArray in alpaka data formats

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  5. Corrections in Points and PointsAlpaka classes

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  6. Add draft of kernels for the clustering methods 

    Fixes in the Points data structure

Fix typo in Points
    @slanzi00 @sbaldu
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  7. Add copy/move constructors in PointsAlpaka and PointsAlpakaView 

    Fix in the convolutional kernels
    @sbaldu
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  8. Add kernel for local density 

    Fix relative paths in AlpakaCore
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  9. Add header for TilesAlpaka class

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  10. Add temporary main and data for testing

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  11. Add first draft of CLUEAlgoAlpaka class header 

    Fix typo in PointsAlpaka
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  12. Written kernel for the search of the most energetic neighbour

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  13. add KernelFindClusters and KernelAssignClusters 

    Fixes in the Points classes
    @slanzi00 @sbaldu
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  14. Fix non trivial copyability in the TilesAlpaka class

    @sbaldu
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  15. Write methods for CLUEAlgoAlpaka 

    Fixes in the CLUE alpaka kernels
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  16. Fix typing errors in CLUEAlgo

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  17. Debugging executions of alpaka kernels

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  18. Fix std::invoke_result error in alpaka kernels 

    Fix warnings in alpaka code
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  19. Add construction of tiles size in alpaka code

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  20. Add resize of output vectors in Points constructor

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  21. Add memcpy in make_clusters after execution of kernels. Make calc_til… 

    …es methods private
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  22. Add header for run functions

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  23. Structure binding of alpaka code for different backends 

    Fixes in alpaka kernels

Fix compilation of tbb binding
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  24. Add compilation and binding of cuda version to makefile

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  25. Add binding file for cuda

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  26. Rewrite convolutional kernels and add method for extracting call oper… 

    …ator
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  27. Separate the binding of the convolutional kernels

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  28. Add convolutional kernels to the alpaka version of the algorithm

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  29. Trying to restructure convolutional kernels without virtual functions

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  30. Testing new implementation of convolutional kernels

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  31. Add pybind11 as submodule

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  32. Debugging gpu version (it doesn't find the device) 

    Still debugging
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  33. Change initialization of devices vector 

    Cleaning
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  34. Add information about the cuda architecture in the makefile 

    Cleaning
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  35. Use unsafe push_backs in tiles and fix globalBin

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  36. Rewrite use of tiles and clean printouts

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  37. Use unsafe push_backs in alpaka kernels

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  38. Use different working division when launching KernelAssignClusters

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  39. Change max sizes of tiles VecArrays 

    Formatting
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  40. Keep che number of tiles fixed and known at compile time

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  41. Update pybind submodule to sbaldu's fork, which fixes error by nvcc 

    Cleaning
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  42. Add boost and alpaka submodules

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  43. Update paths of alpaka and boost in test makefile

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  44. Remove unneeded headers in AlpakaCore

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  45. Use cms::alpakatools::divide_up_by when creating working divisions

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  46. Add CLUEAlgo member for block size and bind its setter

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  47. Fix wrong include

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  48. Change block_size to parameter for mainRun

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  49. Formatting

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  50. Use endswith in _read_string

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  51. Clean alpaka version of CLUEstering.py

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  52. Implement method for listing devices from python

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  53. Add option for choosing device from python

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  54. Cleaning and formatting

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  55. Remove unneeded boost submodule

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  56. Prepare compilation for AMD GPUs

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  57. Update CLUEstering.py and Makefile

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  58. Uncommenting other dimensions run functions

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  59. Clean Makefile

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  60. Add conditional compilation of modules and handling of import errors

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  61. Formatting

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  62. Rename energy as weight or density

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