more updates

CONTRIBUTING.md

@@ -124,6 +124,7 @@ Using VSCode, you can develop remotely from the hardware if you so wish.  Alex F
 **Debug**
 
 * cuda-memcheck
+* cuda-gdb
 
 
 A debug launch can also be enabled in VSCode with something like:  https://github.com/harrism/cudf-vscode/blob/master/.vscode/launch.json
@@ -145,10 +146,10 @@ implementation of the issue, ask them in the issue instead of the PR.
 
 ### Style Guild
 All Python code most pass flake8 style checking
-All C++ code must pass clank style checking
+All C++ code must pass clang style checking
 
 ### Tests
-All code must have assocsiate test cases.  Code without test will not be accepted
+All code must have associate test cases.  Code without test will not be accepted
 
 
 

PRTAGS.md

@@ -1,5 +1,5 @@
 # Pull Request Tags
-If you look at the list of current [Pull Request](https://github.com/rapidsai/cugraph/pulls) you will notice a set of bracketed tags in the subject line.  Those tags help developers focus attention and know what is being asked.  
+If you look at the list of current [Pull Request](https://github.com/rapidsai/cugraph/pulls) you will notice a set of bracketed tags in the subject line. Those tags help developers focus attention and know what is being asked.  
 
 PR = Pull Request
 

README.md

@@ -16,7 +16,7 @@ import cugraph
 # read data into a cuDF DataFrame using read_csv
 gdf = cudf.read_csv("graph_data.csv", names=["src", "dst"], dtype=["int32", "int32"] )
 
-# We now have data in a COO format (edge pairs)
+# We now have data ias edge pairs
 # create a Graph using the source (src) and destination (dst) vertex pairs the GDF  
 G = cugraph.Graph()
 G.from_cudf_edgelist(gdf, source='src', destination='dst')
@@ -78,11 +78,11 @@ The current version of cuGraph has some limitations:
 
 - Vertex IDs need to be 32-bit integers.
 - Vertex IDs are expected to be contiguous integers starting from 0.
---  If the starting index is not zero, cuGraph will add disconnected vertices to fill in the missing range
+--  If the starting index is not zero, cuGraph will add disconnected vertices to fill in the missing range.  (Auto-) Renumbering fixes this issue
 
 cuGraph provides the renumber function to mitigate this problem. Input vertex IDs for the renumber function can be any type, can be non-contiguous, and can start from an arbitrary number. The renumber function maps the provided input vertex IDs to 32-bit contiguous integers starting from 0. cuGraph still requires the renumbered vertex IDs to be representable in 32-bit integers. These limitations are being addressed and will be fixed soon.
 
-cuGraph prvides an auto-renumbering feature, enabled by default, during Graph creating.  Renumbered vertices are automaticaly un-renumbered.
+cuGraph provides an auto-renumbering feature, enabled by default, during Graph creating.  Renumbered vertices are automaticaly un-renumbered.
 
 cuGraph is constantly being updatred and improved. Please see the [Transition Guide](TRANSITIONGUIDE.md) if errors are encountered with newer versions
 

SOURCEBUILD.md

@@ -76,7 +76,7 @@ conda activate cugraph_dev
 
 3) Build and install `libcugraph`. CMake depends on the `nvcc` executable being on your path or defined in `$CUDACXX`.
 
-  This project uses cmake for building the C/C++ library. CMake will also automatically build and install nvGraph library (`$CUGRAPH_HOME/cpp/nvgraph`) which may take a few minutes. To configure cmake, run:
+  This project uses cmake for building the C/C++ library. To configure cmake, run:
 
   ```bash
   # Set the localtion to cuGraph in an environment variable CUGRAPH_HOME