Run zcash miner on ubuntu nvidia options5/20/2023 ![]() For example, in the latest update, the developers deleted BeamHash I algorithm that became outdated after Beam hardfork. The miner is actively supported by the developers and its updates are always on time. Equihash 192.7 – Zero, Genesis Network – 3 GB.Equihash 144.5 – Bitcoin Gold, BitcoinZ, SnowGem – 1.8 GB.Here is the list with recommended GPU memory based on the latest version – 0.8.8. What To Mine On lolMiner? Available Algorithms It is 1%, which means that your hardware will work for developers a bit over 14 minutes every day. Developers themselves warn about it on the project page on BitcoinTalk. Most of Nvidia cards are supported as well, but their operation stability and speed on lolMiner is questionable. The program was developed for AMD graphics cards. LolMiner supports Equihash and Cuckatoo algorithms. That’s why we chose it as an example for the review. ZelCash outdoes Beam, Zcoin, and Ethereum. The screenshot below shows daily performance for 300 Nvidia 1070 Ti cards. ZelCash is still the most profitable coin for mining even today. Since then ZEL mining has remained profitable at all times which is confirmed by 2CryptoCalc calculator. ![]() The upgrade brought the new ZelHash algorithm and protection against ASICs and FPGAs. In July ZelCash developers performed Kamiooka hardfork. What To Mine On lolMiner? Available Algorithms.It should finds 18627 solutions which is less than 1% off the theoretical expected average number of solutions of 1.88 per Equihash run at (n,k)=(200,9).įor installing, just copy silentarmy and sa-solver to the same directory. Self-testing the command-line solver (solves 100 all-zero 140-byte blocks with their nonces varying from 0 to 99): Make OPENCL_HEADERS=/usr/local/cuda-8.0/targets/x86_64-linux/include LIBOPENCL=/usr/local/cuda-8.0/targets/x86_64-linux/lib You may need to specify the paths to the locations of your OpenCL C headers and libOpenCL.so if the compiler does not find them, eg.: Or, for Arch Linux users, get the silentarmy AUR package. Verify the Python version is 3.3 or later:Ī C compiler is needed to compile the SILENTARMY solver binary (sa-solver):.SILENTARMY requires Python 3.3 or later (needed to support the use of the yield from syntax). Make OPENCL_HEADERS=/usr/lib/x86_64-linux-gnu/beignet/include/ LIBOPENCL=/usr/lib/x86_64-linux-gnu/beignet/ LDLIBS="-lcl -lrt" You must either alter the Makefile below or build silentarmy using.Install the OpenCL headers and library:. ![]() Either reboot, or load the kernel driver:.Sudo apt-get install nvidia-opencl-dev nvidia-375 ![]()
0 Comments
Leave a Reply. |