This PR replace the legacy call to `cusolverDnsyevj` with the 64-bit version.
It also improves the indexing types used, from int to size_t when possible.

Authors:
  - Micka (https://github.com/lowener)

Approvers:
  - Corey J. Nolet (https://github.com/cjnolet)

URL: rapidsai#349

Authors:
  - Corey J. Nolet (https://github.com/cjnolet)

Approvers:
  - Dante Gama Dessavre (https://github.com/dantegd)
  - Brad Rees (https://github.com/BradReesWork)

URL: rapidsai#351

Porting @robertmaynard's patch for libcudacxx patch for CUDA 11.5 from cuDF, this should fix RAFT in 11.5 and in conjunction with rapidsai/cuml#4327 also unblocks cuML

Authors:
  - Dante Gama Dessavre (https://github.com/dantegd)

Approvers:
  - Corey J. Nolet (https://github.com/cjnolet)
  - Robert Maynard (https://github.com/robertmaynard)
  - Ray Douglass (https://github.com/raydouglass)

URL: rapidsai#370

…#356)

Authors:
  - Divye Gala (https://github.com/divyegala)

Approvers:
  - Corey J. Nolet (https://github.com/cjnolet)
  - Dante Gama Dessavre (https://github.com/dantegd)

URL: rapidsai#356

A host vector in haversine knn test was being resized to `n` rather `n*d` before `n*d` elements were copied from it to a device vector. Not sure if this is causing the following issue in the test, but it's not correct nonetheless:

```
[----------] 1 test from HaversineKNNTestF
[ RUN      ] HaversineKNNTestF.Fit
unknown file: Failure
C++ exception with description "std::bad_alloc: CUDA error at: _deps/rmm-src/include/rmm/mr/device/cuda_memory_resource.hpp:70: cudaErrorMemoryAllocation out of memory" thrown in the test fixture's constructor.
[  FAILED  ] HaversineKNNTestF.Fit (0 ms)
[----------] 1 test from HaversineKNNTestF (0 ms total)
```

Since it was happening on host, the only thing I can think of is that somehow there is some host memory being used to determine the amount of device memory to allocate, which is grabbing a garbage value from somewhere.

Authors:
  - Corey J. Nolet (https://github.com/cjnolet)

Approvers:
  - Divye Gala (https://github.com/divyegala)
  - Brad Rees (https://github.com/BradReesWork)

URL: rapidsai#375

Closes rapidsai#128

Authors:
  - Corey J. Nolet (https://github.com/cjnolet)

Approvers:
  - Divye Gala (https://github.com/divyegala)
  - Chuck Hastings (https://github.com/ChuckHastings)

URL: rapidsai#378

Authors:
  - Corey J. Nolet (https://github.com/cjnolet)

Approvers:
  - Dante Gama Dessavre (https://github.com/dantegd)

URL: rapidsai#371

One of the conditions in [`test_aligned_access`](https://github.com/rapidsai/raft/blob/branch-21.12/cpp/include/raft/linalg/matrix_vector_op.cuh#L106) in `linalg/matrix_vector_op.cuh` was incorrect (`ptr % elem_size` should be zero, not otherwise). Due to that typo, `matrixVectorOp` function was never using vectorized load/store instructions.
This PR fixes the problem while also adding a new helper struct to simplify such checks in future.

Authors:
  - Artem M. Chirkin (https://github.com/achirkin)

Approvers:
  - Corey J. Nolet (https://github.com/cjnolet)

URL: rapidsai#372