Adds the JNI call for Cuda.deviceSynchronize

[abellina]

Running tests locally, but putting this up as WIP for now.

Discussing with @jlowe a solution to NVIDIA/spark-rapids#4818 could involve cudaDeviceSynchronize. I noticed that's not in our JNI exposed calls, so I am adding it here.

[codecov]

Codecov Report

Merging #10839 (06a72f1) into branch-22.06 (e0d94f3) will increase coverage by 0.03%.
The diff coverage is n/a.

❗ Current head 06a72f1 differs from pull request most recent head 7b3dd82. Consider uploading reports for the commit 7b3dd82 to get more accurate results

@@               Coverage Diff                @@
##           branch-22.06   #10839      +/-   ##
================================================
+ Coverage         86.28%   86.32%   +0.03%     
================================================
  Files               144      144              
  Lines             22654    22654              
================================================
+ Hits              19548    19555       +7     
+ Misses             3106     3099       -7     

Impacted Files	Coverage Δ
python/cudf/cudf/core/dataframe.py	93.78% <0.00%> (+0.04%)	⬆️
python/cudf/cudf/core/column/string.py	88.78% <0.00%> (+0.12%)	⬆️
python/cudf/cudf/core/groupby/groupby.py	91.79% <0.00%> (+0.22%)	⬆️
python/cudf/cudf/core/column/numerical.py	96.17% <0.00%> (+0.29%)	⬆️
python/cudf/cudf/core/tools/datetimes.py	84.49% <0.00%> (+0.30%)	⬆️
python/cudf/cudf/core/column/lists.py	91.70% <0.00%> (+0.97%)	⬆️

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[abellina]

ok I can use this locally. It looks to be good to go in, pending CI.

[abellina]

@gpucibot merge