Posts Tagged ‘keccak miner

The author of the popular SRBminer CryptoNight AMD GPU miner has just updated his new mining software called SRBMiner-MULTI CPU and AMD GPU Miner to version 0.1.1 Betta adding support for a few new algorithms and some bug fixes. The new miner is targeted at algorithms for CPU mining as well as some CPU and GPU ones for more recent AMD-based video cards (R9 2xx series and newer)… other than the CN-based algorithms that his other AMD GPU miner supports. The new algorithms include: yespowerltncg, yespowersugar, yespowerurx, yespower2b, eaglesong (nervos-ckb) algorithms and there is also added support for SHA with yespower algorithm family.

Do note that just like his CryptoNight GPU miner, this new CPU and GPU AMD miner is also available only for Windows (Linux version might be oming out soon) as a pre-compiled binary and there is a built-in developer fee as follows: 0% for blake2b and yespowerurx, 1.70% for rainforestv2 and 0.85% for all other supported algorithms. The miner does not yet have support for the new RandomX algorithm, but it will hopefully get one at least regarding CPU support in the future, you can find the initially supported algorithms below:

CPU-only algorithms:
– cpupower
– yescryptr16
– yescryptr32
– yescryptr8
– yespower
– yespowerlitb
– yespowerr16
– yespowerltncg
– yespowersugar
– yespowerurx
– yespower2b

CPU + GPU algorithms:
– blake2b
– blake2s
– keccak
– mtp
– rainforestv2
– yescrypt
– eaglesong

To download and try the new SRBMiner-MULTI CPU and AMD GPU Miner 0.1.1 Beta…

The author of the popular SRBminer CryptoNight AMD GPU miner, doktor83, has just released a new mining software called SRBMiner-MULTI CPU and AMD GPU Miner. The new miner is targeted at algorithms for CPU mining as well as some CPU and GPU ones for more recent AMD-based video cards (R9 2xx series and newer)… other than the CN-based algorithms that his other AMD GPU miner supports. Do note that just like his CryptoNight GPU miner, this new CPU and GPU AMD miner is also available only for Windows as a pre-compiled binary (it is closed source) and there is a built-in developer fee as follows: 0% for blake2b, 1.70% for rainforestv2 and 0.85% for all other supported algorithms. The miner does not yet have support for the new RandomX algorithm, but it will most likely get one at least regarding CPU support, you can find the initially supported algorithms below:

CPU-only algorithms:
– cpupower
– yescryptr16
– yescryptr32
– yescryptr8
– yespower
– yespowerlitb
– yespowerr16

CPU + GPU algorithms:
– blake2b
– blake2s
– keccak
– mtp
– rainforestv2
– yescrypt

To download and try the new SRBMiner-MULTI CPU and AMD GPU Miner 0.1.0 Beta…

We have received some requests for the fastest public fork of ccMiner for the Keccak algorithm and it seems that the version from alexis78 (source) is giving one of the best performances out there from the popular open source forks. There seems to be even more optimized version available as a private miner being sold, though we have not tested that one and cannot comment on the performance it offers. Alternatively the ccMiner fork from KlausT (source) also does seem to offer very similar performance as far as Keccak mining goes.

We have prepared a 64-bit Windows binary compiled from the alexis78’s source using CUDA 8.0 and compiled with VC 2013 that you can download and try if you want to mine Keccak on NiceHash or directly mine a specific crypto coin using this mining algorithm for its Proof of Work (PoW). The default intensity might be a bit high for some cards, so you might want to dial it down a bit if the miner is unstable on your mining rigs. If you are interested how much a GTX 1080 Ti does using this miner for Keccak, well it can do 1200-1300 MH/s with optimized settings for lower power usage. If you are wondering which altcoin is driving the demand and profitability for Keccak lately it is apparently SmartCash (SMART), prior to that there was also a short peak for MaxCoin (MAX) as well a couple of weeks ago.

To download and try the ccMiner 64-bit Windows binary for mining the Keccak algorithm…


top