The RavenCoin (RVN) project is up for another fork sometime in April that will change once more the Proof of Work mining algorithm used in order to fend off FPGA and ASIC miners specifically and allow GPU miners to get back to mining the coin. The first fork to change the mining algorithm in October last year changed the initial algo to a new X16Rv2 and while that did drive off ASIC and FPGA miners for a while off the network, it did not help that much on the long run as apparently specialized mining hardware was quickly adapted to the new algorithm. This time the change in the algorithm is more drastic and should make sure that GPU mining on a level playing field for both AMD and Nvidia GPU miners is available for long…

The new algorithm that RVN will be adopting is called KAWPOW and is a derivative of ProgPOW with parameters specific for Ravencoin. The fork is planned for sometime in April, but a specific block time and expected date is not yet chosen. Meanwhile you are welcome to test the new dedicated miner called kawpowminer software that currently only supports mining the new algorithm and you can test it on the RavenCoin testnet using the MinerMore mining pool to make sure you are ready for the fork.

RavenCoin KAWPOW testnet pool:
kawpowminer -U -P stratum+tcp://WALLET.worker@rvnt.minermore.com:4505

The miner is currently available for both Windows and Linux operating systems, though apparently there is not yet official OpenCL binary for Windows, only CUDA. Since the binary releases do not include the required Nvidia CUDA 10.2 libraries you would also need to have the latest Nvidia CUDA Toolkit installed (or at least the runtime libraries from it). Other popular mining software would most likely add the required support for the new algorithm soon before or after the fork to the new algorithm occurs.

Expected performance on stock settings:
– GTX 1050Ti: ~5+ MH/s
– GTX 1060: ~9.5 MH/s
– GTX 1070: ~14 MH/s
– GTX 1070Ti: ~14 MH/s
– GTX 1080Ti: ~24.5 MH/s

We remind you that unlike with Ethash, PROGPOW does not favor lower-end AMD GPUs as it is not so much memory dependent, thus a lower-end AMD GPU will perform similarly to the same level of Nvidia GPU and a higher-end AMD GPU like a similar class Nvidia GPU when using the new KAWPOW algorithm!

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