Use cuco::static_set in JSON tree algorithm by karthikeyann · Pull Request #13928 · rapidsai/cudf

karthikeyann · 2023-08-21T14:52:22Z

Description

In JSON tree algorithms of JSON reader, cuco static_map is used as a set. This PR replaces it with static_set.
No tests are changed. No significant runtime changes.
Addresses part of #12261

Checklist

I am familiar with the Contributing Guidelines.
New or existing tests cover these changes.
The documentation is up to date with these changes.

karthikeyann · 2023-08-21T14:53:17Z

Benchmark Comparison:
['before.json', 'after.json']

nested_json_gpu_parser

[0] Quadro GV100

string_size	Ref Time	Ref Noise	Cmp Time	Cmp Noise	Diff	%Diff	Status
2^20	4.880 ms	4.49%	4.898 ms	5.69%	18.864 us	0.39%	PASS
2^21	4.895 ms	9.06%	4.913 ms	4.03%	17.902 us	0.37%	PASS
2^22	5.317 ms	10.41%	5.321 ms	12.66%	3.876 us	0.07%	PASS
2^23	6.422 ms	0.50%	6.412 ms	0.34%	-10.405 us	-0.16%	PASS
2^24	9.930 ms	14.53%	9.787 ms	14.77%	-143.676 us	-1.45%	PASS
2^25	15.002 ms	11.11%	15.006 ms	11.65%	3.727 us	0.02%	PASS
2^26	22.675 ms	6.45%	22.183 ms	9.47%	-492.229 us	-2.17%	PASS
2^27	40.288 ms	4.58%	40.130 ms	3.07%	-158.362 us	-0.39%	PASS
2^28	76.542 ms	1.90%	75.338 ms	2.95%	-1204.252 us	-1.57%	PASS
2^29	145.540 ms	2.20%	141.689 ms	1.44%	-3851.651 us	-2.65%	FAIL
2^30	280.676 ms	1.14%	273.563 ms	0.40%	-7112.382 us	-2.53%	FAIL

nested_json_gpu_parser_depth

[0] Quadro GV100

depth	string_size	Ref Time	Ref Noise	Cmp Time	Cmp Noise	Diff	%Diff	Status
2^1	2^20	4.794 ms	3.81%	4.844 ms	13.07%	50.668 us	1.06%	PASS
2^2	2^20	4.806 ms	13.63%	4.821 ms	0.32%	15.013 us	0.31%	PASS
2^3	2^20	9.694 ms	0.28%	9.728 ms	0.26%	33.102 us	0.34%	FAIL
2^4	2^20	11.520 ms	0.38%	11.549 ms	0.32%	29.233 us	0.25%	PASS
2^1	2^22	5.921 ms	0.33%	5.944 ms	0.37%	23.099 us	0.39%	FAIL
2^2	2^22	5.932 ms	0.39%	5.930 ms	0.64%	-1.492 us	-0.03%	PASS
2^3	2^22	10.719 ms	0.27%	10.749 ms	0.29%	30.260 us	0.28%	FAIL
2^4	2^22	12.800 ms	0.27%	12.836 ms	0.23%	36.276 us	0.28%	FAIL
2^1	2^24	11.261 ms	10.01%	11.321 ms	10.55%	59.724 us	0.53%	PASS
2^2	2^24	11.306 ms	10.39%	11.296 ms	10.66%	-9.278 us	-0.08%	PASS
2^3	2^24	15.109 ms	0.90%	15.232 ms	4.67%	122.651 us	0.81%	PASS
2^4	2^24	18.559 ms	3.69%	18.820 ms	5.51%	260.069 us	1.40%	PASS
2^1	2^26	30.345 ms	4.05%	30.058 ms	3.64%	-287.165 us	-0.95%	PASS
2^2	2^26	30.467 ms	4.22%	30.053 ms	3.81%	-413.853 us	-1.36%	PASS
2^3	2^26	35.087 ms	2.81%	35.038 ms	3.47%	-49.738 us	-0.14%	PASS
2^4	2^26	44.072 ms	3.11%	43.698 ms	3.43%	-373.460 us	-0.85%	PASS
2^1	2^28	105.235 ms	2.31%	103.592 ms	1.38%	-1643.400 us	-1.56%	FAIL
2^2	2^28	105.108 ms	1.54%	103.375 ms	1.34%	-1732.831 us	-1.65%	FAIL
2^3	2^28	131.532 ms	1.10%	126.514 ms	1.18%	-5017.671 us	-3.81%	FAIL
2^4	2^28	163.348 ms	1.29%	160.052 ms	1.21%	-3296.169 us	-2.02%	FAIL
2^1	2^30	402.572 ms	0.74%	396.564 ms	0.50%	-6008.528 us	-1.49%	FAIL
2^2	2^30	403.850 ms	0.71%	396.296 ms	0.32%	-7553.944 us	-1.87%	FAIL
2^3	2^30	511.063 ms	0.19%	489.892 ms	0.49%	-21171.784 us	-4.14%	FAIL
2^4	2^30	631.286 ms	0.30%	610.291 ms	0.44%	-20995.106 us	-3.33%	FAIL

json_read_data_type

[0] Quadro GV100

data_type	io	Ref Time	Ref Noise	Cmp Time	Cmp Noise	Diff	%Diff	Status
FLOAT	DEVICE_BUFFER	769.726 ms	0.21%	741.506 ms	0.07%	-28219.922 us	-3.67%	FAIL
DECIMAL	DEVICE_BUFFER	848.174 ms	0.16%	826.489 ms	0.14%	-21684.851 us	-2.56%	FAIL
STRING	DEVICE_BUFFER	334.214 ms	0.48%	321.141 ms	0.36%	-13072.504 us	-3.91%	FAIL
LIST	DEVICE_BUFFER	246.600 ms	0.79%	247.035 ms	0.76%	435.057 us	0.18%	PASS
STRUCT	DEVICE_BUFFER	936.482 ms	0.25%	905.342 ms	0.35%	-31139.343 us	-3.33%	FAIL

json_read_io

[0] Quadro GV100

io	Ref Time	Ref Noise	Cmp Time	Cmp Noise	Diff	%Diff	Status
FILEPATH	549.848 ms	1.97%	554.247 ms	1.72%	4.398 ms	0.80%	PASS
HOST_BUFFER	427.906 ms	0.05%	426.857 ms	0.11%	-1049.323 us	-0.25%	FAIL
DEVICE_BUFFER	278.015 ms	0.50%	280.157 ms	0.21%	2.142 ms	0.77%	FAIL

Summary

Total Matches: 43
- Pass (diff <= min_noise): 23
- Unknown (infinite noise): 0
- Failure (diff > min_noise): 20

bdice · 2023-08-21T15:15:29Z

The memory usage should change as a result of this, right? (By not having to store both keys and values)

karthikeyann · 2023-08-21T15:50:41Z

The memory usage should change as a result of this, right? (By not having to store both keys and values)

It makes no difference in peak memory usage of JSON reader, because this part of code does not take the highest memory usage.
But in that particular section of code, it may have reduced usage.

Details

Benchmark Results

nested_json_gpu_parser

[0] Quadro GV100

string_size	Samples	CPU Time	Noise	GPU Time	Noise	Elem/s	bytes_per_second	peak_memory_usage
2^20 = 1048576	1x	5.325 ms	inf%	5.319 ms	inf%	197.138M	197137516	8.201 MiB
2^21 = 2097152	1x	5.204 ms	inf%	5.198 ms	inf%	403.472M	403472256	16.164 MiB
2^22 = 4194304	1x	6.203 ms	inf%	6.196 ms	inf%	676.969M	676968835	32.090 MiB
2^23 = 8388608	1x	7.006 ms	inf%	7.000 ms	inf%	1.198G	1198427349	63.942 MiB
2^24 = 16777216	1x	9.618 ms	inf%	9.612 ms	inf%	1.745G	1745433173	127.645 MiB
2^25 = 33554432	1x	14.918 ms	inf%	14.912 ms	inf%	2.250G	2250143707	255.051 MiB
2^26 = 67108864	1x	24.056 ms	inf%	24.049 ms	inf%	2.790G	2790480400	509.864 MiB
2^27 = 134217728	1x	43.231 ms	inf%	43.225 ms	inf%	3.105G	3105067902	1019.489 MiB
2^28 = 268435456	1x	80.947 ms	inf%	80.942 ms	inf%	3.316G	3316411689	1.991 GiB
2^29 = 536870912	1x	150.893 ms	inf%	150.888 ms	inf%	3.558G	3558083870	3.982 GiB
2^30 = 1073741824	1x	280.867 ms	inf%	280.863 ms	inf%	3.823G	3823012817	7.963 GiB

nested_json_gpu_parser_depth

[0] Quadro GV100

depth	string_size	Samples	CPU Time	Noise	GPU Time	Noise	Elem/s	bytes_per_second	peak_memory_usage
2^1 = 2	2^20 = 1048576	1x	4.872 ms	inf%	4.867 ms	inf%	215.464M	215461301	9.353 MiB
2^2 = 4	2^20 = 1048576	1x	4.818 ms	inf%	4.812 ms	inf%	217.920M	217917251	9.353 MiB
2^3 = 8	2^20 = 1048576	1x	9.756 ms	inf%	9.751 ms	inf%	107.542M	107537957	8.883 MiB
2^4 = 16	2^20 = 1048576	1x	11.506 ms	inf%	11.500 ms	inf%	91.187M	91180015	9.301 MiB
2^1 = 2	2^22 = 4194304	1x	5.917 ms	inf%	5.911 ms	inf%	709.560M	709552031	36.695 MiB
2^2 = 4	2^22 = 4194304	1x	10.150 ms	inf%	10.144 ms	inf%	413.475M	413469808	36.695 MiB
2^3 = 8	2^22 = 4194304	1x	15.130 ms	inf%	15.124 ms	inf%	277.333M	277327103	34.815 MiB
2^4 = 16	2^22 = 4194304	1x	12.886 ms	inf%	12.881 ms	inf%	325.623M	325622078	36.487 MiB
2^1 = 2	2^24 = 16777216	1x	10.795 ms	inf%	10.789 ms	inf%	1.555G	1554989405	146.063 MiB
2^2 = 4	2^24 = 16777216	1x	10.893 ms	inf%	10.888 ms	inf%	1.541G	1540890587	146.063 MiB
2^3 = 8	2^24 = 16777216	1x	15.193 ms	inf%	15.188 ms	inf%	1.105G	1104654900	138.542 MiB
2^4 = 16	2^24 = 16777216	1x	18.558 ms	inf%	18.553 ms	inf%	904.319M	904309708	145.234 MiB
2^1 = 2	2^26 = 67108864	1x	29.362 ms	inf%	29.356 ms	inf%	2.286G	2286068158	583.537 MiB
2^2 = 4	2^26 = 67108864	1x	29.405 ms	inf%	29.399 ms	inf%	2.283G	2282669096	583.537 MiB
2^3 = 8	2^26 = 67108864	1x	33.626 ms	inf%	33.621 ms	inf%	1.996G	1996061478	553.448 MiB
2^4 = 16	2^26 = 67108864	1x	42.606 ms	inf%	42.601 ms	inf%	1.575G	1575302932	580.215 MiB
2^1 = 2	2^28 = 268435456	1x	117.928 ms	inf%	117.923 ms	inf%	2.276G	2276371219	2.279 GiB
2^2 = 4	2^28 = 268435456	1x	112.866 ms	inf%	112.861 ms	inf%	2.378G	2378465548	2.279 GiB
2^3 = 8	2^28 = 268435456	1x	132.348 ms	inf%	132.343 ms	inf%	2.028G	2028335758	2.161 GiB
2^4 = 16	2^28 = 268435456	1x	157.249 ms	inf%	157.245 ms	inf%	1.707G	1707121026	2.266 GiB
2^1 = 2	2^30 = 1073741824	1x	396.339 ms	inf%	396.336 ms	inf%	2.709G	2709167443	9.114 GiB
2^2 = 4	2^30 = 1073741824	1x	395.608 ms	inf%	395.606 ms	inf%	2.714G	2714168334	9.114 GiB
2^3 = 8	2^30 = 1073741824	1x	489.010 ms	inf%	489.009 ms	inf%	2.196G	2195751585	8.644 GiB
2^4 = 16	2^30 = 1073741824	1x	607.419 ms	inf%	607.419 ms	inf%	1.768G	1767712462	9.062 GiB

json_read_data_type

[0] Quadro GV100

data_type	io	Samples	CPU Time	Noise	GPU Time	Noise	bytes_per_second	peak_memory_usage	encoded_file_size
FLOAT	DEVICE_BUFFER	1x	736.726 ms	inf%	736.726 ms	inf%	728725276	15.066 GiB	1.796 GiB
DECIMAL	DEVICE_BUFFER	1x	828.822 ms	inf%	828.823 ms	inf%	647750935	14.779 GiB	1.791 GiB
STRING	DEVICE_BUFFER	1x	325.747 ms	inf%	325.742 ms	inf%	1648147628	7.610 GiB	944.307 MiB
LIST	DEVICE_BUFFER	1x	246.325 ms	inf%	246.320 ms	inf%	2179565997	9.880 GiB	1.158 GiB
STRUCT	DEVICE_BUFFER	1x	905.458 ms	inf%	905.459 ms	inf%	592926575	15.515 GiB	1.688 GiB

json_read_io

[0] Quadro GV100

io	Samples	CPU Time	Noise	GPU Time	Noise	bytes_per_second	peak_memory_usage	encoded_file_size
FILEPATH	1x	548.927 ms	inf%	548.927 ms	inf%	978037858	10.416 GiB	1.224 GiB
HOST_BUFFER	1x	423.777 ms	inf%	423.775 ms	inf%	1266877007	10.416 GiB	1.224 GiB
DEVICE_BUFFER	1x	277.196 ms	inf%	277.192 ms	inf%	1936819745	10.416 GiB	1.224 GiB

cpp/src/io/json/json_tree.cu

ttnghia · 2023-08-21T18:06:31Z

cpp/src/io/json/json_tree.cu

+    cuco::experimental::extent{compute_hash_table_size(num_nodes)},
+    cuco::empty_key<cudf::size_type>{empty_node_index_sentinel},
+    d_equal,
+    cuco::experimental::linear_probing<1, hasher_type>{d_hashed_cache},


Why using linear_probing here? Do we have other options?

used the same probing used in distinct_count. What other probing options are there?

@PointKernel?

We can switch between linear_probing and double_hashing. In general, linear_probing delivers better performance for set/map and double_hashing is preferred for multiset/multimap.

cpp/src/io/json/json_tree.cu

karthikeyann · 2023-08-21T18:31:38Z

After replacing static_map with static_set in "node type + field name hashing".
['before.json', 'after2.json']

nested_json_gpu_parser

[0] Quadro GV100

string_size	Ref Time	Ref Noise	Cmp Time	Cmp Noise	Diff	%Diff	Status
2^20	4.880 ms	4.49%	4.611 ms	0.37%	-268.940 us	-5.51%	FAIL
2^21	4.895 ms	9.06%	4.774 ms	0.32%	-120.961 us	-2.47%	FAIL
2^22	5.317 ms	10.41%	5.190 ms	11.42%	-126.517 us	-2.38%	PASS
2^23	6.422 ms	0.50%	6.204 ms	0.38%	-217.953 us	-3.39%	FAIL
2^24	9.930 ms	14.53%	9.615 ms	18.52%	-315.873 us	-3.18%	PASS
2^25	15.002 ms	11.11%	13.463 ms	11.93%	-1538.816 us	-10.26%	PASS
2^26	22.675 ms	6.45%	20.569 ms	5.89%	-2105.785 us	-9.29%	FAIL
2^27	40.288 ms	4.58%	37.852 ms	5.66%	-2436.356 us	-6.05%	FAIL
2^28	76.542 ms	1.90%	67.596 ms	2.47%	-8946.637 us	-11.69%	FAIL
2^29	145.540 ms	2.20%	129.453 ms	0.18%	-16087.117 us	-11.05%	FAIL
2^30	280.676 ms	1.14%	254.863 ms	0.24%	-25813.133 us	-9.20%	FAIL

nested_json_gpu_parser_depth

[0] Quadro GV100

depth	string_size	Ref Time	Ref Noise	Cmp Time	Cmp Noise	Diff	%Diff	Status
2^1	2^20	4.794 ms	3.81%	4.758 ms	1.03%	-35.237 us	-0.74%	PASS
2^2	2^20	4.806 ms	13.63%	4.759 ms	0.33%	-47.073 us	-0.98%	FAIL
2^3	2^20	9.694 ms	0.28%	9.639 ms	0.50%	-55.950 us	-0.58%	FAIL
2^4	2^20	11.520 ms	0.38%	11.431 ms	0.21%	-89.160 us	-0.77%	FAIL
2^1	2^22	5.921 ms	0.33%	5.803 ms	0.35%	-117.992 us	-1.99%	FAIL
2^2	2^22	5.932 ms	0.39%	5.807 ms	0.33%	-124.324 us	-2.10%	FAIL
2^3	2^22	10.719 ms	0.27%	10.606 ms	0.46%	-113.268 us	-1.06%	FAIL
2^4	2^22	12.800 ms	0.27%	12.689 ms	0.33%	-110.459 us	-0.86%	FAIL
2^1	2^24	11.261 ms	10.01%	10.507 ms	1.91%	-754.056 us	-6.70%	FAIL
2^2	2^24	11.306 ms	10.39%	10.493 ms	1.58%	-812.631 us	-7.19%	FAIL
2^3	2^24	15.109 ms	0.90%	15.620 ms	10.60%	511.498 us	3.39%	FAIL
2^4	2^24	18.559 ms	3.69%	18.562 ms	5.30%	2.206 us	0.01%	PASS
2^1	2^26	30.345 ms	4.05%	29.219 ms	4.78%	-1126.209 us	-3.71%	PASS
2^2	2^26	30.467 ms	4.22%	29.164 ms	4.85%	-1303.629 us	-4.28%	FAIL
2^3	2^26	35.087 ms	2.81%	34.047 ms	4.49%	-1040.550 us	-2.97%	FAIL
2^4	2^26	44.072 ms	3.11%	41.409 ms	3.47%	-2662.539 us	-6.04%	FAIL
2^1	2^28	105.235 ms	2.31%	100.108 ms	0.65%	-5127.800 us	-4.87%	FAIL
2^2	2^28	105.108 ms	1.54%	100.133 ms	0.50%	-4975.085 us	-4.73%	FAIL
2^3	2^28	131.532 ms	1.10%	120.932 ms	0.74%	-10599.756 us	-8.06%	FAIL
2^4	2^28	163.348 ms	1.29%	152.227 ms	1.03%	-11120.952 us	-6.81%	FAIL
2^1	2^30	402.572 ms	0.74%	377.403 ms	0.33%	-25169.766 us	-6.25%	FAIL
2^2	2^30	403.850 ms	0.71%	377.667 ms	0.33%	-26182.859 us	-6.48%	FAIL
2^3	2^30	511.063 ms	0.19%	461.863 ms	0.39%	-49200.109 us	-9.63%	FAIL
2^4	2^30	631.286 ms	0.30%	585.737 ms	0.50%	-45548.761 us	-7.22%	FAIL

json_read_data_type

[0] Quadro GV100

data_type	io	Ref Time	Ref Noise	Cmp Time	Cmp Noise	Diff	%Diff	Status
FLOAT	DEVICE_BUFFER	769.726 ms	0.21%	710.914 ms	0.24%	-58812.134 us	-7.64%	FAIL
DECIMAL	DEVICE_BUFFER	848.174 ms	0.16%	811.799 ms	0.22%	-36374.756 us	-4.29%	FAIL
STRING	DEVICE_BUFFER	334.214 ms	0.48%	313.744 ms	0.68%	-20469.883 us	-6.12%	FAIL
LIST	DEVICE_BUFFER	246.600 ms	0.79%	241.710 ms	0.49%	-4889.477 us	-1.98%	FAIL
STRUCT	DEVICE_BUFFER	936.482 ms	0.25%	854.513 ms	0.48%	-81968.657 us	-8.75%	FAIL

json_read_io

[0] Quadro GV100

io	Ref Time	Ref Noise	Cmp Time	Cmp Noise	Diff	%Diff	Status
FILEPATH	549.848 ms	1.97%	549.053 ms	2.05%	-795.637 us	-0.14%	PASS
HOST_BUFFER	427.906 ms	0.05%	420.848 ms	0.05%	-7058.240 us	-1.65%	FAIL
DEVICE_BUFFER	278.015 ms	0.50%	272.230 ms	0.49%	-5784.574 us	-2.08%	FAIL

Summary

Total Matches: 43
- Pass (diff <= min_noise): 7
- Unknown (infinite noise): 0
- Failure (diff > min_noise): 36

PointKernel

Looks great! Thanks!

karthikeyann · 2023-08-28T09:53:31Z

/merge

use static_set instead of static_map

f69188a

karthikeyann requested a review from a team as a code owner August 21, 2023 14:52

karthikeyann self-assigned this Aug 21, 2023

karthikeyann requested review from divyegala and robertmaynard August 21, 2023 14:52

karthikeyann changed the title ~~Use static_set in JSON tree algorithm~~ Use cuco::static_set in JSON tree algorithm Aug 21, 2023

karthikeyann mentioned this pull request Aug 21, 2023

[FEA] Refactor hash-based algorithms with new cuco data structures #12261

Closed

PointKernel reviewed Aug 21, 2023

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replace cuco::static_map with static_set in field name hash

80fcf53

remove unused variable name

d3ca496

ttnghia approved these changes Aug 21, 2023

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karthikeyann changed the title ~~Use cuco::static_set in JSON tree algorithm~~ Use cuco::static_set in JSON tree algorithm Aug 22, 2023

karthikeyann changed the title ~~Use cuco::static_set in JSON tree algorithm~~ Use cuco::static_set in JSON tree algorithm Aug 25, 2023

Merge branch 'branch-23.10' into enh-json_use_static_set

2127bd8

karthikeyann changed the title ~~Use cuco::static_set in JSON tree algorithm~~ Use cuco::static_set in JSON tree algorithm Aug 27, 2023

Merge branch 'branch-23.10' into enh-json_use_static_set

34839d7

karthikeyann added 5 - Ready to Merge Testing and reviews complete, ready to merge and removed 3 - Ready for Review Ready for review by team 4 - Needs Review Waiting for reviewer to review or respond 4 - Needs cuIO Reviewer labels Aug 27, 2023

rapids-bot bot merged commit aba001c into rapidsai:branch-23.10 Aug 28, 2023

Conversation

karthikeyann commented Aug 21, 2023

Description

Checklist

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karthikeyann commented Aug 21, 2023

nested_json_gpu_parser

[0] Quadro GV100

nested_json_gpu_parser_depth

[0] Quadro GV100

json_read_data_type

[0] Quadro GV100

json_read_io

[0] Quadro GV100

Summary

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Benchmark Results

nested_json_gpu_parser

[0] Quadro GV100

nested_json_gpu_parser_depth

[0] Quadro GV100

json_read_data_type

[0] Quadro GV100

json_read_io

[0] Quadro GV100

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karthikeyann commented Aug 21, 2023

nested_json_gpu_parser

[0] Quadro GV100

nested_json_gpu_parser_depth

[0] Quadro GV100

json_read_data_type

[0] Quadro GV100

json_read_io

[0] Quadro GV100

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karthikeyann commented Aug 28, 2023

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4 participants

bdice commented Aug 21, 2023 •

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karthikeyann commented Aug 21, 2023 •

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PointKernel Aug 21, 2023 •

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