Meowpowminer is a fork of Ravencoin's kawpowminer . Like kawpowminer, it is a derivative of Ethash enhanced with Programmable Proof of Work for ASIC and FPGA resistance.
Compared to kawpowminer, meowpowminer has the following differences:
- DAG size at epoch 110 is >4GigaBytes
- EPOCH duration is 7500 blocks
- meowpowminer supports direct solo mining to meowcoind/meowcoin-qt without needing a stratum proxy
- the random starting seeds are slightly different for uniqueness
- improved detection of nVidia GPU memory size
AMD GPU cards are not currently properly supported. We hope to fix that in a future release.
You do not need this software for Meowcoin testnet. Testnet uses sha256 cpu mining (use the "setgenerate on" command in your node) Meowpowminer is for use only on Meowcoin mainnet.
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A typical use of meowpowminer with a pool might look like: meowpowminer.exe -U -P stratum+tcp://[email protected]:minerport
A typical use of meowpowminer with a local stratum solo-mining proxy might look like: meowpowminer.exe -U -P stratum+tcp://[email protected]:3333
A typical use of meowpowminer to solo mine direct to meowcoind/meowcoin-qt might look like: meowpowminer.exe -U -P http://mynodeusername:[email protected]:8819 (specify miningaddress="youraddress" in meowcoin.conf)
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Remember that you need to have CUDA installed on your system in order for meowpowminer to work. Get it from nVidia.
Also, if you are solo mining direct to meowcoind or meowcoin-qt, before launching meowpowminer, make sure that: * the node is fully syncd * the node is listening on the RPC port (8819 for mainnet) * the node has miningaddress="youraddress" set in the meowcoin.conf file * the node has rpcuser and rpcpassword set in the meowcoin.conf file.
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evrprogpowpow miner with OpenCL, CUDA and stratum support
meowpowminer is an ProgPoW GPU mining worker: with meowpowminer you can mine Meowcoin, which relies on an ProgPoW-based Proof of Work thus including Ethereum ProgPoW and others. This is the actively maintained version of meowpowminer. It originates from the ethminer project. Check the original ProgPoW implementation and EIP-1057 for specification.
- First commercial ProgPOW Meowcoin miner software for miners.
- OpenCL mining
- Nvidia CUDA mining
- realistic benchmarking against arbitrary epoch/DAG/blocknumber
- on-GPU DAG generation (no more DAG files on disk)
- stratum mining without proxy
- OpenCL devices picking
- farm failover (getwork + stratum)
Standalone executables for Linux, macOS and Windows are provided in the Releases section. Download an archive for your operating system and unpack the content to a place accessible from command line. The meowpowminer is ready to go.
| Builds | Release |
|---|---|
| Last | GitHub release |
If you have trouble with missing .dll or CUDA errors, please install the latest version of CUDA drivers or report to project maintainers.
The meowpowminer is a command line program. This means you launch it either from a Windows command prompt or Linux console, or create shortcuts to predefined command lines using a Linux Bash script or Windows batch/cmd file. For a full list of available command, please run:
meowpowminer --helpConnecting to MinerMore Testnet:
./meowpowminer -P stratum+tcp://<wallet>[email protected]:4505 or
meowpowminer.exe -P stratum+tcp://<wallet>[email protected]:4505
After cloning this repository into meowpowminer, it can be built with commands like:
cd meowpowminer
git submodule update --init --recursive
mkdir build
cd build
cmake .. -DETHASHCUDA=ON -DETHASHCL=ON -DAPICORE=ON
make -sj $(nproc)
Manually define CUDA stuff like this:
cmake .. -DETHASHCUDA=ON -DETHASHCL=ON -DAPICORE=ON -DCUDA_nvrtc_LIBRARY=/usr/local/cuda-12.2/targets/x86_64-linux/lib/libnvrtc.so.12.2.91
Alternatively:
cmake .. -DETHASHCUDA=ON -DETHASHCL=ON -DAPICORE=ON -DCUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda-12.2
- Install Visual Studios (2019) (with the additional installation package "C++ Cmake Tools for Windows)
- Install latest perl to C:\Perl (https://www.perl.org/get.html) Follow the steps outlined and the default perl installtion should work
Open "Developer Command Prompt for VS 2019"
- Open StartMenu and search for "Developer Command Prompt for VS 2019"
- Follow these steps:
cd C:\Users\USER_NAME\PATH_TO_MEOWPOWMINER\meowpowminer
git submodule update --init --recursive
mkdir build
cd build
cmake -G "Visual Studio 16 2019" -A X64 -H. -Bbuild -DETHASHCL=ON -DETHASHCUDA=ON -DAPICORE=ON ..
cd build
cmake --build . --config Release
(Yes, two nested build/build directories.)
- Open Visual Studios
- Open CMakeLists.txt file with File->Open->CMake
- Wait for intelligence to build the cache (this can take some time)
- Build the project (CTRL+SHIFT+B) or find the build command in the menu
ProgPoW can be tuned using the following parameters. The proposed settings have been tuned for a range of existing, commodity GPUs:
PROGPOW_PERIOD: Number of blocks before changing the random programPROGPOW_LANES: The number of parallel lanes that coordinate to calculate a single hash instancePROGPOW_REGS: The register file usage sizePROGPOW_DAG_LOADS: Number of uint32 loads from the DAG per lanePROGPOW_CACHE_BYTES: The size of the cachePROGPOW_CNT_DAG: The number of DAG accesses, defined as the outer loop of the algorithm (64 is the same as Ethash)PROGPOW_CNT_CACHE: The number of cache accesses per loopPROGPOW_CNT_MATH: The number of math operations per loop
The value of these parameters has been tweaked to use 0.9.4 specs with a PROGPOW_PEROD of 3 to fit Meowcoin's blocktimes. See this medium post for details.
| Parameter | 0.9.2 | 0.9.3 | 0.9.4 | MeowPow |
|---|---|---|---|---|
PROGPOW_PERIOD |
50 |
10 |
3 |
6 |
PROGPOW_LANES |
16 |
16 |
16 |
16 |
PROGPOW_REGS |
32 |
32 |
32 |
16 |
PROGPOW_DAG_LOADS |
4 |
4 |
4 |
4 |
PROGPOW_CACHE_BYTES |
16x1024 |
16x1024 |
16x1024 |
16x1024 |
PROGPOW_CNT_DAG |
64 |
64 |
64 |
64 |
PROGPOW_CNT_CACHE |
12 |
11 |
11 |
6 |
PROGPOW_CNT_MATH |
20 |
18 |
18 |
9 |
Epoch length = 12000 blocks
The list of current and past maintainers, authors and contributors to the meowpowminer project. Ordered alphabetically. Contributors statistics since 2015-08-20.
| Name | Contact | |
|---|---|---|
| Zachary Price | @zachchan105 | LTC: ltc1q46x3m5rwywa6ymfzqacmzasnqeua6umt6n96w6 |
| Hans Schmidt | @hans-schmidt | --- |
| Jeremy Anderson | @Blondfrogs | --- |
| Traysi | @traysi | -- |
| Andrea Lanfranchi | @AndreaLanfranchi | ETH: 0xa7e593bde6b5900262cf94e4d75fb040f7ff4727 |
| EoD | @EoD | |
| Genoil | @Genoil | |
| goobur | @goobur | |
| Marius van der Wijden | @MariusVanDerWijden | ETH: 0x57d22b967c9dc64e5577f37edf1514c2d8985099 |
| Paweł Bylica | @chfast | ETH: 0x8FB24C5b5a75887b429d886DBb57fd053D4CF3a2 |
| Philipp Andreas | @smurfy | |
| Stefan Oberhumer | @StefanOberhumer | |
| ifdefelse | @ifdefelse | |
| Won-Kyu Park | @hackmod | ETH: 0x89307cb2fa6b9c571ab0d7408ab191a2fbefae0a |
| Ikmyeong Na | @naikmyeong |
All bug reports, pull requests and code reviews are very much welcome.
Licensed under the GNU General Public License, Version 3.
The new WDDM 2.x driver on Windows 10 uses a different way of addressing the GPU. This is good for a lot of things, but not for ETH mining.
- For Kepler GPUs: I actually don't know. Please let me know what works best for good old Kepler.
- For Maxwell 1 GPUs: Unfortunately the issue is a bit more serious on the GTX750Ti, already causing suboptimal performance on Win7 and Linux. Apparently about 4MH/s can still be reached on Linux, which, depending on ETH price, could still be profitable, considering the relatively low power draw.
- For Maxwell 2 GPUs: There is a way of mining ETH at Win7/8/Linux speeds on Win10, by downgrading the GPU driver to a Win7 one (350.12 recommended) and using a build that was created using CUDA 6.5.
- For Pascal GPUs: You have to use the latest WDDM 2.1 compatible drivers in combination with Windows 10 Anniversary edition in order to get the full potential of your Pascal GPU.
Because of the GDDR5X memory, which can't be fully utilized for Meowcoin mining (yet).
Only GCN 1.0 GPUs (78x0, 79x0, 270, 280), but in a different way. You'll see that on each new epoch (30K blocks), the hashrate will go down a little bit.
Not really, your VRAM must be above the DAG size (Currently about 3 GB.) to get best performance. Without it severe hash loss will occur.
The default parameters are fine in most scenario's (CUDA). For OpenCL it varies a bit more. Just play around with the numbers and use powers of 2. GPU's like powers of 2.
@davilizh made improvements to the CUDA kernel hashing process and added this flag to allow changing the number of tasks it runs in parallel. These improvements were optimised for GTX 1060 GPUs which saw a large increase in hashrate, GTX 1070 and GTX 1080/Ti GPUs saw some, but less, improvement. The default value is 4 (which does not need to be set with the flag) and in most cases this will provide the best performance.
What is meowpowminer's relationship with Genoil's fork?
Genoil's fork was the original source of this version, but as Genoil is no longer consistently maintaining that fork it became almost impossible for developers to get new code merged there. In the interests of progressing development without waiting for reviews this fork should be considered the active one and Genoil's as legacy code.
No.
There is an environment var CUDA_DEVICE_ORDER which tells the Nvidia CUDA driver how to enumerates the graphic cards.
The following values are valid:
FASTEST_FIRST(Default) - causes CUDA to guess which device is fastest using a simple heuristic.PCI_BUS_ID- orders devices by PCI bus ID in ascending order.
To prevent some unwanted changes in the order of your CUDA devices you might set the environment variable to PCI_BUS_ID.
This can be done with one of the 2 ways:
-
Linux:
- Adapt the
/etc/environmentfile and add a lineCUDA_DEVICE_ORDER=PCI_BUS_ID - Adapt your start script launching meowpowminer and add a line
export CUDA_DEVICE_ORDER=PCI_BUS_ID
- Adapt the
-
Windows:
- Adapt your environment using the control panel (just search
setting environment windows control panelusing your favorite search engine) - Adapt your start (.bat) file launching meowpowminer and add a line
set CUDA_DEVICE_ORDER=PCI_BUS_IDorsetx CUDA_DEVICE_ORDER PCI_BUS_ID. For more info aboutsetsee here, for more info aboutsetxsee here
- Adapt your environment using the control panel (just search
Error: The code execution cannot be processed because nvrtc64_102_0.dll was not found.
or
error while loading shared libraries: libnvrtc.so.10.2: cannot open shared object file: No such file or directory
You have to upgrade your Nvidia drivers. Install cuda 10.2.