This PR separates the `pairwise_point_polygon_distance` benchmark portion of PR #1002. While that PR is only left for nvtx3 experiments.

# Original PR description:

This PR adds pairwise point polygon distance benchmark. Depends on #998

Point-polygon distance performance can be affected by many factors, because the geometry is complex in nature. I benchmarked these questions:
1. How does the algorithm scales with simple multipolygons?
2. How does it scales with complex multipolygons?

## How does the algorithm scales with simple multipolygons?
The benchmark uses the most simple multipolygon, 3 sides per polygon, 0 hole and 1 polygon per multipolygon.

Float32
| Num   multipolygon | Throughput   (#multipolygons / s) |
| --- | --- |
| 1 | 28060.32971 |
| 100 | 2552687.469 |
| 10000 | 186044781 |
| 1000000 | 1047783101 |
| 100000000 | 929537385.2 | 

Float64
| Num   multipolygon | Throughput   (#multipolygons / s) |
| --- | --- |
| 1 | 28296.94817 |
| 100 | 2491541.218 |
| 10000 | 179379919.5 |
| 1000000 | 854678939.9 |
| 100000000 | 783364410.7 |

![image](https://user-images.githubusercontent.com/13521008/226502300-c3273d80-5f9f-4d53-b961-a24e64216e9b.png)

The chart shows that with simple polygons and simple multipoint (1 point per multipoint), the algorithm scales pretty nicely. Throughput is maxed out at near 1M pairs.

## How does the algorithm scales with complex multipolygons?

The benchmark uses a complex multipolygon, 100 edges per ring, 10 holes per polygon and 3 polygons per multipolygon.

float32
Num   multipolygon | Throughput   (#multipolygons / s)
-- | --
1000 | 158713.2377
10000 | 345694.2642
100000 | 382849.058

float64
Num   multipolygon | Throughput   (#multipolygons / s)
-- | --
1000 | 148727.1246
10000 | 353141.9758
100000 | 386007.3016

![image](https://user-images.githubusercontent.com/13521008/226502732-0d116db7-6257-4dec-b170-c42b30df9cea.png)

The algorithm reaches max throughput at near 10K pairs. About 100X lower than the simple multipolygon example.

Authors:
  - Michael Wang (https://github.com/isVoid)
  - Mark Harris (https://github.com/harrism)

Approvers:
  - Mark Harris (https://github.com/harrism)

URL: #1131