[jvm-packages][xgboost4j-gpu] Support GPU dataframe and DeviceQuantileDMatrix (#7195)

Following classes are added to support dataframe in java binding:

- `Column` is an abstract type for a single column in tabular data.
- `ColumnBatch` is an abstract type for dataframe.

- `CuDFColumn` is an implementaiton of `Column` that consume cuDF column
- `CudfColumnBatch` is an implementation of `ColumnBatch` that consumes cuDF dataframe.

- `DeviceQuantileDMatrix` is the interface for quantized data.

The Java implementation mimics the Python interface and uses `__cuda_array_interface__` protocol for memory indexing.  One difference is on JVM package, the data batch is staged on the host as java iterators cannot be reset.

Co-authored-by: jiamingy <jm.yuan@outlook.com>

Jenkinsfile

@@ -64,7 +64,7 @@ pipeline {
             // The build-gpu-* builds below use Ubuntu image
             'build-gpu-cuda11.0': { BuildCUDA(cuda_version: '11.0', build_rmm: true) },
             'build-gpu-rpkg': { BuildRPackageWithCUDA(cuda_version: '10.1') },
-            'build-jvm-packages-gpu-cuda10.1': { BuildJVMPackagesWithCUDA(spark_version: '3.0.0', cuda_version: '10.1') },
+            'build-jvm-packages-gpu-cuda10.1': { BuildJVMPackagesWithCUDA(spark_version: '3.0.0', cuda_version: '11.0') },
             'build-jvm-packages': { BuildJVMPackages(spark_version: '3.0.0') },
             'build-jvm-doc': { BuildJVMDoc() }
           ])