refactor(traccc): Clean up CCL kernel types

[stephenswat]

This commit unifies the CCL kernel types to 32 bit integers, which are most efficient on GPUs. It also removes some unused parameters to make the code more readable.

[stephenswat]

Performance summary

Here is a summary of the performance effects of this PR:

Graphical

Tabular

Kernel	Reciprocal Throughput			Parallelism
	bbbf49d	6dcf311	Delta	bbbf49d	6dcf311
propagate_to_next_surface	4.19 ms	4.19 ms	-0.1%	4.88	4.88
find_tracks	1.14 ms	1.14 ms	-0.0%	1.84	1.84
count_doublets	787.87 μs	788.09 μs	0.0%	1.61	1.61
count_triplets	552.89 μs	553.73 μs	0.2%	1.02	1.02
find_doublets	517.20 μs	508.10 μs	-1.8%	3.08	3.08
ccl_kernel	442.19 μs	440.16 μs	-0.5%	1.71	1.71
condense_tracks	250.07 μs	250.52 μs	0.2%	5.77	5.76
find_triplets	160.07 μs	159.76 μs	-0.2%	1.31	1.32
build_tracks	125.33 μs	125.58 μs	0.2%	3.72	3.72
Thrust::sort	85.07 μs	85.03 μs	-0.0%	17.72	17.73
select_seeds	58.36 μs	58.50 μs	0.2%	1.34	1.34
estimate_track_params	26.35 μs	26.31 μs	-0.2%	2.69	2.68
populate_grid	23.50 μs	23.54 μs	0.2%	1.22	1.22
count_grid_capacities	21.90 μs	21.88 μs	-0.1%	1.22	1.22
remove_duplicates	19.84 μs	19.94 μs	0.5%	25.76	25.64
update_triplet_weights	14.67 μs	14.64 μs	-0.2%	1.27	1.27
fill_sorted_measurements	12.21 μs	12.15 μs	-0.5%	1.50	1.50
fill_finding_propagation_sort_keys	9.84 μs	9.84 μs	0.1%	7.23	7.23
form_spacepoints	7.28 μs	7.32 μs	0.5%	1.47	1.47
reduce_triplet_counts	5.46 μs	5.49 μs	0.6%	3.08	3.08
fill_measurement_sort_keys	3.06 μs	3.07 μs	0.3%	1.48	1.48
count_spacepoints	2.97 μs	2.97 μs	0.1%	1.47	1.47
unknown	1.79 μs	1.79 μs	0.1%	9.85	9.85
Thrust::scan	1.79 μs	1.78 μs	-0.1%	92.38	92.61
fill_finding_duplicate_removal_sort_keys	1.56 μs	1.56 μs	0.2%	38.14	38.09
create_device_detector	None	None	-0.2%	32764.72	32764.72
Total	8.47 ms	8.45 ms	-0.1%	3.72	3.72

Important

All metrics in this report are given as reciprocal throughput, not as wallclock runtime.

Note

This is an automated message produced upon the explicit request of a human being.

[github-actions]

Public API surface diff

No change to the public API surface. ✅

[sonarqubecloud]

Quality Gate passed

Issues
0 New issues
0 Accepted issues

Measures
0 Security Hotspots
0.0% Coverage on New Code
7.1% Duplication on New Code

See analysis details on SonarQube Cloud

[github-actions]

📊: Physics performance monitoring for accef70

Full contents

physmon summary

• ✅ Particles fatras
• ✅ Particles geant4
• ✅ Particles ttbar
• ✅ Vertices ttbar
• ✅ Truth tracking (KF)
• ✅ Truth tracking (GSF)
• ✅ Truth tracking (GX2F)
• ✅ Truth tracking (KF refit)
• ✅ Truth tracking (GSF refit)
• ✅ CKF finding performance | trackfinding | single muon | truth smeared seeding
• ✅ CKF fitting performance | trackfinding | single muon | truth smeared seeding
• ✅ CKF track summary | trackfinding | single muon | truth smeared seeding
• ✅ Seeding trackfinding | single muon | truth estimated seeding
• ✅ CKF finding performance | trackfinding | single muon | truth estimated seeding
• ✅ CKF fitting performance | trackfinding | single muon | truth estimated seeding
• ✅ CKF track summary | trackfinding | single muon | truth estimated seeding
• ✅ Seeding trackfinding | single muon | default seeding
• ✅ CKF finding performance | trackfinding | single muon | default seeding
• ✅ CKF fitting performance | trackfinding | single muon | default seeding
• ✅ CKF track summary | trackfinding | single muon | default seeding
• ✅ Seeding trackfinding | single muon | orthogonal seeding
• ✅ CKF finding performance | trackfinding | single muon | orthogonal seeding
• ✅ CKF fitting performance | trackfinding | single muon | orthogonal seeding
• ✅ CKF track summary | trackfinding | single muon | orthogonal seeding
• ✅ Seeding trackfinding | 4 muon x 50 vertices | default seeding
• ✅ CKF finding performance | trackfinding | 4 muon x 50 vertices | default seeding
• ✅ CKF fitting performance | trackfinding | 4 muon x 50 vertices | default seeding
• ✅ CKF track summary | trackfinding | 4 muon x 50 vertices | default seeding
• ✅ Ambisolver finding performance | trackfinding | 4 muon x 50 vertices | default seeding
• ✅ IVF notime | trackfinding | 4 muon x 50 vertices | default seeding
• ✅ AMVF gauss notime | trackfinding | 4 muon x 50 vertices | default seeding
• ✅ AMVF grid time | trackfinding | 4 muon x 50 vertices | default seeding
• ✅ Seeding trackfinding | ttbar with 200 pileup | default seeding
• ✅ CKF finding performance | trackfinding | ttbar with 200 pileup | default seeding
• ✅ CKF fitting performance | trackfinding | ttbar with 200 pileup | default seeding
• ✅ CKF track summary | trackfinding | ttbar with 200 pileup | default seeding
• ✅ Ambisolver finding performance | trackfinding | ttbar with 200 pileup | default seeding
• ✅ ML Ambisolver | trackfinding | ttbar with 200 pileup | default seeding
• ✅ AMVF gauss notime | trackfinding | ttbar with 200 pileup | default seeding
• ✅ AMVF grid time | trackfinding | ttbar with 200 pileup | default seeding
• 🔵️ Comparison - Truth tracking (GX2F vs KF)

[paulgessinger]

looks simple enough.