[BUG] Internal error in package accelerate and LLVM.PTX backend: CUDA Exception - misaligned address

**Description**
I encountered an internal error in the accelerate package while running my code. The error message was:

```
Internal error in package accelerate
Please submit a bug report at https://github.com/AccelerateHS/accelerate/issues

CUDA Exception: misaligned address

CallStack (from HasCallStack):
internalError: Data.Array.Accelerate.LLVM.PTX.State:53:9

```

**Steps to reproduce**
Currently, I don't have an example to reproduce the error, but I am trying my best to get one. I will attach it to this issue as soon as I have it.

**Expected behaviour**
I expected the code to run without any errors.

**Environment**

- Accelerate : `1.3.0.0`
- Accelerate backend(s): `accelerate-llvm-ptx`
- Device Query
```
CUDA Device Query (Runtime API) version (CUDART static linking)

Detected 1 CUDA Capable device(s)

Device 0: "NVIDIA GeForce GTX 760 (192-bit)"
CUDA Driver Version / Runtime Version 11.4 / 10.2
CUDA Capability Major/Minor version number: 3.0
Total amount of global memory: 1482 MBytes (1554251776 bytes)
( 6) Multiprocessors, (192) CUDA Cores/MP: 1152 CUDA Cores
GPU Max Clock rate: 889 MHz (0.89 GHz)
Memory Clock rate: 2800 Mhz
Memory Bus Width: 192-bit
L2 Cache Size: 393216 bytes
Maximum Texture Dimension Size (x,y,z) 1D=(65536), 2D=(65536, 65536), 3D=(4096, 4096, 4096)
Maximum Layered 1D Texture Size, (num) layers 1D=(16384), 2048 layers
Maximum Layered 2D Texture Size, (num) layers 2D=(16384, 16384), 2048 layers
Total amount of constant memory: 65536 bytes
Total amount of shared memory per block: 49152 bytes
Total number of registers available per block: 65536
Warp size: 32
Maximum number of threads per multiprocessor: 2048
Maximum number of threads per block: 1024
Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
Max dimension size of a grid size (x,y,z): (2147483647, 65535, 65535)
Maximum memory pitch: 2147483647 bytes
Texture alignment: 512 bytes
Concurrent copy and kernel execution: Yes with 1 copy engine(s)
Run time limit on kernels: Yes
Integrated GPU sharing Host Memory: No
Support host page-locked memory mapping: Yes
Alignment requirement for Surfaces: Yes
Device has ECC support: Disabled
Device supports Unified Addressing (UVA): Yes
Device supports Compute Preemption: No
Supports Cooperative Kernel Launch: No
Supports MultiDevice Co-op Kernel Launch: No
Device PCI Domain ID / Bus ID / location ID: 0 / 1 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >

deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 11.4, CUDA Runtime Version = 10.2, NumDevs = 1
Result = PASS
```
- GHC: `8.10.7`
- OS: `Arch Linux 6.1.22-1`

**Additional context**
Note that when using the LLVM.Native backend, the code runs without any errors. Please let me know if you need any additional information or if there's anything else I can do to help diagnose and fix this issue. Thank you.