The default value for interleave was wrongly set to 50.

Remove the value and take the devault from the default constructor instead of side channeling it from the json parser.

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