[REVIEW] Add cugraph+UCX build instructions

[VibhuJawa]

This PR adds the instructions to build cugraph+UCX for benchmarking .

The current conda build does not support IB as well has challenges using NVLINK . This PR adds the dockefile as well as build instructions and test to streamline benchmarking effort.

The expected speedup on sampling is around 8x by using the UCX souce build and a 20x better bandwidth with compute.

See README for instructions .

Benchmarks

dask.compute bandwidth

With the standard conda build :

python3 test_client_bandwidth.py 

Getting 1,000,000 rows  of size 0.01 took = 168.32900047302246 ms
Bandwidth = 0.0594 gb/s
Getting 2,000,000 rows  of size 0.02 took = 260.2977991104126 ms
Bandwidth = 0.0768 gb/s
Getting 4,000,000 rows  of size 0.04 took = 288.5307312011719 ms
Bandwidth = 0.1386 gb/s
Getting 25,000,000 rows  of size 0.28 took = 1051.6365766525269 ms
Bandwidth = 0.2663 gb/s
----------------------------------------Completed Test----------------------------------------

With this PRs Build :

python3 test_client_bandwidth.py

Getting 1,000,000 rows  of size 0.01 took = 14.061594009399414 ms
Bandwidth = 0.7112 gb/s
Getting 2,000,000 rows  of size 0.02 took = 19.601154327392578 ms
Bandwidth = 1.0203 gb/s
Getting 4,000,000 rows  of size 0.04 took = 15.92099666595459 ms
Bandwidth = 2.5124 gb/s
Getting 25,000,000 rows  of size 0.28 took = 52.902913093566895 ms
Bandwidth = 5.2927 gb/s
----------------------------------------Completed Test----------------------------------------

cugraph sampling benchmark

With the standard conda build :

python3 test_cugraph_sampling.py

Sampling 1,000 took = 78.96044254302979 ms
Sampling 10,000 took = 189.63768482208252 ms
Sampling 100,000 took = 1084.9100351333618 ms
----------------------------------------Completed Test----------------------------------------

With this PRs Build :

python3 test_cugraph_sampling.py


Sampling 1,000 took = 73.62375259399414 ms
Sampling 10,000 took = 87.1060848236084 ms
Sampling 100,000 took = 134.7532033920288 ms
----------------------------------------Completed Test----------------------------------------

[review-notebook-app]

Check out this pull request on 

See visual diffs & provide feedback on Jupyter Notebooks.

---

Powered by ReviewNB

[alexbarghi-nv]

needs copyright fix

[rlratzel]

LGTM. I do have a question and a suggestion but I'll also approve as-is.

[codecov-commenter]

Codecov Report

Base: 58.86% // Head: 57.14% // Decreases project coverage by -1.71% ⚠️

Coverage data is based on head (88a8865) compared to base (2ae4b61).
Patch coverage: 43.95% of modified lines in pull request are covered.

Additional details and impacted files

@@               Coverage Diff                @@
##           branch-23.02    #3088      +/-   ##
================================================
- Coverage         58.86%   57.14%   -1.72%     
================================================
  Files               131      148      +17     
  Lines              7848     9302    +1454     
================================================
+ Hits               4620     5316     +696     
- Misses             3228     3986     +758     

Impacted Files	Coverage Δ
...-service/server/cugraph_service_server/__main__.py	0.00% <0.00%> (ø)
...ure/graph_implementation/simpleDistributedGraph.py	14.45% <0.00%> (-0.45%)	⬇️
...ugraph/cugraph/dask/structure/mg_property_graph.py	11.97% <9.09%> (-0.12%)	⬇️
...-service/server/cugraph_service_server/__init__.py	25.00% <14.28%> (ø)
...rvice_server/testing/benchmark_server_extension.py	40.38% <40.38%> (ø)
...ice/server/cugraph_service_server/testing/utils.py	74.13% <41.17%> (ø)
...vice/client/cugraph_service_client/remote_graph.py	43.75% <55.55%> (ø)
...e/server/cugraph_service_server/cugraph_handler.py	43.81% <70.31%> (ø)
python/pylibcugraph/pylibcugraph/testing/utils.py	17.77% <0.00%> (-12.66%)	⬇️
python/cugraph/cugraph/testing/utils.py	71.42% <0.00%> (-4.19%)	⬇️
... and 21 more

Help us with your feedback. Take ten seconds to tell us how you rate us. Have a feature suggestion? Share it here.

☔ View full report at Codecov.
📢 Do you have feedback about the report comment? Let us know in this issue.

[VibhuJawa]

@rlratzel , Addressed your reviews, please merge if this is good to merge.

[rlratzel]

@gpucibot merge