#2229 was not solving the issues

- revert #2229
- introduce the working fix

OpenCl: fix blockchain driver support

The OpenCl version of the blockchain driver is not understanding if
apointer to a pointer points into shared memory and throw an error
during the compilation.

- revert the usage of the struct to group all shared memory arrays

update algorithm documentation

- add more information if a algorithm derives from an other
- update `pools.tpl`

update version to 2.8.1

OpenCl: optimize cn_gpu

Add seperate kernel to prepare the scratchpad memory.

CUDA: update cn_gpu auto adjust values

CUDA/OpenCL: use shared mem object

better variable nameining

Optimize the auto adjustment for cn_gpu based on precomputed occupancy
values from CUDA10.

Combine the shared memory for a hash within one struct.
Reduce the shared memory footprint per hash by 64 byte.

- rename variable names like `b` and `bb` to something with a little bit
of meaning.

 add Zelerius coin

add cryptonight_v8_half

OpenCL: optimize cn_gpu

fix groestl, skein and blake

Optimize cn_gpu

based on the suggestion from @xmrig https://github.com/xmrig/xmrig-amd/commit/db4e169f3a78f273abf89ea8cf5bba7eccf1490b

This PR replaces #2196 and add support for zelerius.

- add cryptonight_v8_half
- re-add stellite and masari to the supported coins

remove cn_turtle as native POW 

refactor POW definition

cn_gpu: disable auto suggestion for CPU

cryptonight_turtle is only cryptonight_v8 with a different scratchpad,
iteration and mask value.
We are using now the new machanism to describe such derived POWs.

A POW is now defined by a function `f` and three degrees of freedom `f(iteration, scratchpad, mask)`.
`f` is the base algorithm like `cryptonight, cryptonight_gpu`
An easy to pars snytax to write the full POW definition down is: `cryptonight_gpu:0x0000c000:0x00200000:0x001fffc0`

This change make it very easy to integrate the new trend of variate the
number of iteations or the scratchpad size without modifying the full
code.

To avoid that a miner is waisting power with there CPU to mine cn_gpu the
auto suggestion will comment out the config.

OpenCl: use user defined unroll in cn_gpu

OpenCL: fix invalid work group size

OpenCL: fix groestl

@xmrig provided the information that the driver 19.2.1 for vega also
create invalid results if pragma unroll is used for the groestl algo.

- use the user defined unroll
- auto suggestion:
  - only tune for cn_gpu if this is the main user
currency (after a fork)
  - set unroll to 1 for cn_gpu

OpenCl kernel using a larger work group size than configured by the
user to increase the occupancy. Depending on the algorithm and device
the size is limited.

This PR fixes that the user was able to select a invalid work group size.

OpencL: fix cn_gpu

fix missing algorithm name

CUDA. fix static in global kernel

If comp_mode is used the code will not compile.

- fix compile issue
- fix wrong conditions to handle `comp_mode`