- fix broken compile: change used `ULL` to `UL` because `UL` is defined as 64bit
- fix memory copy to shared memory via vload8 (somehow it create wrong access)

add interleave documentation

OpenCL: auto config two threads per GPU

fix clamp implementation

The auto config generates for AMD devices now by default two threads per GPU.

- remove the savety 128MiB memory now only from the max available GPU memory not from the avaialble memory for one alloc call
- extend the memory documentation in amd.txt

Due to a wrong implementation clamp was not working.

- add image to describe interleave better
- add tuning description

OpenCL: opimize reciprocal calculation

Please add Cryptonight-Superfast

OpenCL: comp mode optimization

use for non clang (Rocm) OpenCL a optimized reciprocal calculation without lookup table.

Co-authored-by: SChernykh <sergey.v.chernykh@gmail.com>

Disable compatibility mode if intensity is a multiple of worksize. In that case enabled compaibility mode will only slow down the miner.

update currencies

OpenCL: thread interleaving

- `monero` - remove fork from cn-v7 to cn-v8
- remove dev pool fork from cn-v7 to cn-8

If two threads are using the same GPU device the start time of each hash round is optimized based on the average time needed to calculate a bunch of hashes.

This way to optimize the hash rate was first introduced by @SChernykh. This implementation based on the implementation in xmrig but differen in the details.

- introduce a new config option `interleave`
- implement thread interleaving

OpenCl: optimize strided index 1

OpenCL: add strided_index 3

Use `mul24` to speedup the scratchpad index calculation.

Co-authored-by: SChernykh <sergey.v.chernykh@gmail.com>

Add new striding index where the memory is chunked by the size of the work group (worksize).

Co-authored-by: SChernykh <sergey.v.chernykh@gmail.com>

OpenCL: cnv8 optimization

OpenCl: optimize cn-v8 div

AMD: use more 32bit operations

OpenCL reduce API overhead

small optimization for non cryptonight_v8 algorithms

OpenCL: optimize cn-heavy div

- optimize division

CUDA: reduce cn-v8 shared mem footprint

OpenCL: reduce local mem footprint

CUDA: optimize cn-v8 div

optimize cryptonight_heavy diff

- change a few 64bit variables into 32bit.
- provide defines type quallified

CUDA: optimize cn-heavy div

- remove useless `clFinish`
- avoid download num threads for skein&co and start always as much threads as in all other kernel (terminate useless threads)

Reduce local memory foot print to increase the occupancy.

Co-authored-by: SChernykh <sergey.v.chernykh@gmail.com>

port optimizations from OpenCL.

Co-authored-by: SChernykh <sergey.v.chernykh@gmail.com>

Use only the half AES matrix and compute the other half in place.
This PR increases the possible occupancy.

port OpenCl optimized division to CUDA

Co-authored-by: SChernykh <sergey.v.chernykh@gmail.com>

change load order for backends