From 9537d726188a4aa8b1cadfe78d439ff47c25251e Mon Sep 17 00:00:00 2001 From: BradReesWork Date: Wed, 29 Jul 2020 14:58:55 -0400 Subject: [PATCH] consistently on GB usage --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index c48878e1c01..82710f2f038 100644 --- a/README.md +++ b/README.md @@ -95,7 +95,7 @@ The amount of memory required is dependent on the graph structure and the analyt | Size | Recommended GPU Memory | |-------------------|------------------------| -| 500 million edges | 32GB | +| 500 million edges | 32 GB | | 250 million edges | 16 GB | The use of managed memory for oversubscription can also be used to exceed the above memory limitations. See the recent blog on _Tackling Large Graphs with RAPIDS cuGraph and CUDA Unified Memory on GPUs_: https://medium.com/rapids-ai/tackling-large-graphs-with-rapids-cugraph-and-unified-virtual-memory-b5b69a065d4