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rapidsai / node

GPU-accelerated data science and visualization in node

Home Page:https://rapidsai.github.io/node/

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Update `api-server` to load a large point-cloud dataset for the pip viewport culling demo.

thomcom opened this issue · comments

commented

api-server needs to provide one or more endpoints that enable a user, via the HTTP api, to specify a datafile, load it with GPU I/O into a column, and then serialize the column over arrow to a caller. I'd prefer to use a generic API that lets any @rapidsai/cudf API call to be used.

  • Find a good dataset for the particles demo.
  • Create an api-server endpoint that loads the file using one or more @rapidsai/cudf commands, all visible on the HTTP api.
  • Create an api-server endpoint that lets the user reflect on data that has been loaded onto the GPU process.
  • Create an api-server endpoint that streams the loaded data specified by the user to a client via arrow.