Include commits made mar 8-9 #22
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…#2081) This PR reduces peak memory usage and replaces one large allocation with few smaller allocations with the same aggregate size (this works better with the pool allocator) in graph creation. Now we can create a graph from 2^30 edges (64 bit vertex IDs & 4 byte edge weight, 20B per edge) limiting the maximum pool size to 36 GB. Authors: - Seunghwa Kang (https://github.com/seunghwak) Approvers: - Chuck Hastings (https://github.com/ChuckHastings) - Kumar Aatish (https://github.com/kaatish) URL: rapidsai#2081
Helps close rapidsai#2058, when combined with a future PR for the cugraph layer implementation of node2vec, which depends on this PR. Ready for review. Disregard rapidsai#2084 and rapidsai#2063. Authors: - https://github.com/betochimas Approvers: - Chuck Hastings (https://github.com/ChuckHastings) - Brad Rees (https://github.com/BradReesWork) URL: rapidsai#2085
… 2079 (rapidsai#2106) Changed image in notebook to match algorithm result per issue 2079 Closes 2079 Authors: - Don Acosta (https://github.com/acostadon) Approvers: - Brad Rees (https://github.com/BradReesWork) URL: rapidsai#2106
rapidsai#2083) Update the release notebook to produce speedup metrics of using a NetworkX object as the input Graph. Authors: - Brad Rees (https://github.com/BradReesWork) Approvers: - Don Acosta (https://github.com/acostadon) - Rick Ratzel (https://github.com/rlratzel) URL: rapidsai#2083
Pulls updates from PRs rapidsai#2044, better be reviewed and merged after PR rapidsai#2044 Mainly experimenting, not ready for review. Authors: - Seunghwa Kang (https://github.com/seunghwak) Approvers: - Chuck Hastings (https://github.com/ChuckHastings) URL: rapidsai#2062
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