Windows build - XMRig

Groestlcoin 6th Anniversary Release

Introduction

Dear Groestlers, it goes without saying that 2020 has been a difficult time for millions of people worldwide. The groestlcoin team would like to take this opportunity to wish everyone our best to everyone coping with the direct and indirect effects of COVID-19. Let it bring out the best in us all and show that collectively, we can conquer anything.
The centralised banks and our national governments are facing unprecedented times with interest rates worldwide dropping to record lows in places. Rest assured that this can only strengthen the fundamentals of all decentralised cryptocurrencies and the vision that was seeded with Satoshi's Bitcoin whitepaper over 10 years ago. Despite everything that has been thrown at us this year, the show must go on and the team will still progress and advance to continue the momentum that we have developed over the past 6 years.
In addition to this, we'd like to remind you all that this is Groestlcoin's 6th Birthday release! In terms of price there have been some crazy highs and lows over the years (with highs of around $2.60 and lows of $0.000077!), but in terms of value– Groestlcoin just keeps getting more valuable! In these uncertain times, one thing remains clear – Groestlcoin will keep going and keep innovating regardless. On with what has been worked on and completed over the past few months.

UPDATED - Groestlcoin Core 2.18.2

This is a major release of Groestlcoin Core with many protocol level improvements and code optimizations, featuring the technical equivalent of Bitcoin v0.18.2 but with Groestlcoin-specific patches. On a general level, most of what is new is a new 'Groestlcoin-wallet' tool which is now distributed alongside Groestlcoin Core's other executables.
NOTE: The 'Account' API has been removed from this version which was typically used in some tip bots. Please ensure you check the release notes from 2.17.2 for details on replacing this functionality.

How to Upgrade?

Windows
If you are running an older version, shut it down. Wait until it has completely shut down (which might take a few minutes for older versions), then run the installer.
OSX
If you are running an older version, shut it down. Wait until it has completely shut down (which might take a few minutes for older versions), run the dmg and drag Groestlcoin Core to Applications.
Ubuntu
http://groestlcoin.org/forum/index.php?topic=441.0

Other Linux

http://groestlcoin.org/forum/index.php?topic=97.0

Download

Download the Windows Installer (64 bit) here
Download the Windows Installer (32 bit) here
Download the Windows binaries (64 bit) here
Download the Windows binaries (32 bit) here
Download the OSX Installer here
Download the OSX binaries here
Download the Linux binaries (64 bit) here
Download the Linux binaries (32 bit) here
Download the ARM Linux binaries (64 bit) here
Download the ARM Linux binaries (32 bit) here

Source

ALL NEW - Groestlcoin Moonshine iOS/Android Wallet

Built with React Native, Moonshine utilizes Electrum-GRS's JSON-RPC methods to interact with the Groestlcoin network.
GRS Moonshine's intended use is as a hot wallet. Meaning, your keys are only as safe as the device you install this wallet on. As with any hot wallet, please ensure that you keep only a small, responsible amount of Groestlcoin on it at any given time.

Features

Download

iOS
Android

Source

ALL NEW! – HODL GRS Android Wallet

HODL GRS connects directly to the Groestlcoin network using SPV mode and doesn't rely on servers that can be hacked or disabled.
HODL GRS utilizes AES hardware encryption, app sandboxing, and the latest security features to protect users from malware, browser security holes, and even physical theft. Private keys are stored only in the secure enclave of the user's phone, inaccessible to anyone other than the user.
Simplicity and ease-of-use is the core design principle of HODL GRS. A simple recovery phrase (which we call a Backup Recovery Key) is all that is needed to restore the user's wallet if they ever lose or replace their device. HODL GRS is deterministic, which means the user's balance and transaction history can be recovered just from the backup recovery key.

Features

Download

Main Release (Main Net)
Testnet Release

Source

ALL NEW! – GroestlcoinSeed Savior

Groestlcoin Seed Savior is a tool for recovering BIP39 seed phrases.
This tool is meant to help users with recovering a slightly incorrect Groestlcoin mnemonic phrase (AKA backup or seed). You can enter an existing BIP39 mnemonic and get derived addresses in various formats.
To find out if one of the suggested addresses is the right one, you can click on the suggested address to check the address' transaction history on a block explorer.

Features

Live Version (Not Recommended)

https://www.groestlcoin.org/recovery/

Download

https://github.com/Groestlcoin/mnemonic-recovery/archive/master.zip

Source

ALL NEW! – Vanity Search Vanity Address Generator

NOTE: NVidia GPU or any CPU only. AMD graphics cards will not work with this address generator.
VanitySearch is a command-line Segwit-capable vanity Groestlcoin address generator. Add unique flair when you tell people to send Groestlcoin. Alternatively, VanitySearch can be used to generate random addresses offline.
If you're tired of the random, cryptic addresses generated by regular groestlcoin clients, then VanitySearch is the right choice for you to create a more personalized address.
VanitySearch is a groestlcoin address prefix finder. If you want to generate safe private keys, use the -s option to enter your passphrase which will be used for generating a base key as for BIP38 standard (VanitySearch.exe -s "My PassPhrase" FXPref). You can also use VanitySearch.exe -ps "My PassPhrase" which will add a crypto secure seed to your passphrase.
VanitySearch may not compute a good grid size for your GPU, so try different values using -g option in order to get the best performances. If you want to use GPUs and CPUs together, you may have best performances by keeping one CPU core for handling GPU(s)/CPU exchanges (use -t option to set the number of CPU threads).

Features

Usage

https://github.com/Groestlcoin/VanitySearch#usage

Download

Source

ALL NEW! – Groestlcoin EasyVanity 2020

Groestlcoin EasyVanity 2020 is a windows app built from the ground-up and makes it easier than ever before to create your very own bespoke bech32 address(es) when whilst not connected to the internet.
If you're tired of the random, cryptic bech32 addresses generated by regular Groestlcoin clients, then Groestlcoin EasyVanity2020 is the right choice for you to create a more personalised bech32 address. This 2020 version uses the new VanitySearch to generate not only legacy addresses (F prefix) but also Bech32 addresses (grs1 prefix).

Features

Download

Source

Remastered! – Groestlcoin WPF Desktop Wallet (v2.19.0.18)

Groestlcoin WPF is an alternative full node client with optional lightweight 'thin-client' mode based on WPF. Windows Presentation Foundation (WPF) is one of Microsoft's latest approaches to a GUI framework, used with the .NET framework. Its main advantages over the original Groestlcoin client include support for exporting blockchain.dat and including a lite wallet mode.
This wallet was previously deprecated but has been brought back to life with modern standards.

Features

Remastered Improvements

Download

Source

ALL NEW! – BIP39 Key Tool

Groestlcoin BIP39 Key Tool is a GUI interface for generating Groestlcoin public and private keys. It is a standalone tool which can be used offline.

Features

Download

Windows
Linux :
 pip3 install -r requirements.txt python3 bip39\_gui.py 

Source

ALL NEW! – Electrum Personal Server

Groestlcoin Electrum Personal Server aims to make using Electrum Groestlcoin wallet more secure and more private. It makes it easy to connect your Electrum-GRS wallet to your own full node.
It is an implementation of the Electrum-grs server protocol which fulfils the specific need of using the Electrum-grs wallet backed by a full node, but without the heavyweight server backend, for a single user. It allows the user to benefit from all Groestlcoin Core's resource-saving features like pruning, blocks only and disabled txindex. All Electrum-GRS's feature-richness like hardware wallet integration, multi-signature wallets, offline signing, seed recovery phrases, coin control and so on can still be used, but connected only to the user's own full node.
Full node wallets are important in Groestlcoin because they are a big part of what makes the system be trust-less. No longer do people have to trust a financial institution like a bank or PayPal, they can run software on their own computers. If Groestlcoin is digital gold, then a full node wallet is your own personal goldsmith who checks for you that received payments are genuine.
Full node wallets are also important for privacy. Using Electrum-GRS under default configuration requires it to send (hashes of) all your Groestlcoin addresses to some server. That server can then easily spy on your transactions. Full node wallets like Groestlcoin Electrum Personal Server would download the entire blockchain and scan it for the user's own addresses, and therefore don't reveal to anyone else which Groestlcoin addresses they are interested in.
Groestlcoin Electrum Personal Server can also broadcast transactions through Tor which improves privacy by resisting traffic analysis for broadcasted transactions which can link the IP address of the user to the transaction. If enabled this would happen transparently whenever the user simply clicks "Send" on a transaction in Electrum-grs wallet.
Note: Currently Groestlcoin Electrum Personal Server can only accept one connection at a time.

Features

Download

Windows
Linux / OSX (Instructions)

Source

UPDATED – Android Wallet 7.38.1 - Main Net + Test Net

The app allows you to send and receive Groestlcoin on your device using QR codes and URI links.
When using this app, please back up your wallet and email them to yourself! This will save your wallet in a password protected file. Then your coins can be retrieved even if you lose your phone.

Changes

Download

Main Net
Main Net (FDroid)
Test Net

Source

UPDATED – Groestlcoin Sentinel 3.5.06 (Android)

Groestlcoin Sentinel is a great solution for anyone who wants the convenience and utility of a hot wallet for receiving payments directly into their cold storage (or hardware wallets).
Sentinel accepts XPUB's, YPUB'S, ZPUB's and individual Groestlcoin address. Once added you will be able to view balances, view transactions, and (in the case of XPUB's, YPUB's and ZPUB's) deterministically generate addresses for that wallet.
Groestlcoin Sentinel is a fork of Groestlcoin Samourai Wallet with all spending and transaction building code removed.

Changes

Download

Source

UPDATED – P2Pool Test Net

Changes

Download

Pre-Hosted Testnet P2Pool is available via http://testp2pool.groestlcoin.org:21330/static/

Source

submitted by Yokomoko_Saleen to groestlcoin [link] [comments]

NoncerPro AMD & Nvidia GPU miner

NoncerPro team proudly announces the brand new Nimiq GPU miner for AMD graphic cards.
AMD Miner Features:
Nvidia Miner Features:
Website: http://noncer.pro/
AMD Download: https://github.com/NoncerPro/noncerpro-nimiq-opencl/releases
Nvidia Download: https://github.com/NoncerPro/noncerpro-nimiq-cuda/releases
Discord server: https://discord.gg/mXnyrHa

Update:HiveOS packages for both CUDA and OpenCL miners are available on Github
Check the readme files for creating Flight Sheets
Update March 15, 2019: NoncerPro AMD miner v2.0 is available with 10% hashrate improvement.
RX580 8GB (--threads=2 --batchsize=76) with mem 2200 218 kh/s Vega64 (--threads=2 --batchsize=76) with mem 1100 +410 kh/s
Check it out at :https://github.com/NoncerPro/noncerpro-nimiq-opencl
submitted by EhssanD to Nimiq [link] [comments]

Tutorial: How to improve your Hash Rates with xmr-stak

For this guide I'm using xmr-stak 2.2 for CPU+GPU mining ETN. Others miners exist, and while the syntax may be a little different the principles are largely the same. Note that xmr-stak has a 2% developer donation at default with the pre-compiled Windows binary, you may change this and compile from source if you like, and if you set to 0, please consider sending a donation to the developer. I am in no way affiliated with the developers of xmr-stak, no endorsement is implied, and I receive nothing in return.
Note that xmr-stak is the combined versions of xmr-stak-cpu, smr-stak-nvidia, and xmr-stak-amd. All current development is being done on xmr-stak as a result. Refer to the xmr-stak readme for detailed information.
In this tutorial I will go over what the different config variables mean, and how they can be applied to your hardware. This will be a bit Nvidia focused, but I welcome any feedback from AMD GPU owners. If you happen to have hardware that I use in my examples note that just plugging in my example configs will not necessarily net you the best hash rates. Understanding the principles however will allow you to learn how to adjust those numbers rather than just changing them at random.
Base config, Large page support, and permissions:
The first time you run XMR-STAK it will step you through adding a pool, and auto generate some generic configs based on your identified hardware. The config.txt file has some general settings and features, but also contains instructions on enabling large page support via the group policy editor. Without this enabled you'll see hiloc errors when you launch xmr-stak. The method described requires that you are using Windows Pro, as gpedit.msc is only available in the pro version. If you're running windows home, there is a work-a-round for this.
Win10 Home users will instead need the server 2003 resource kit tools available for direct download from Microsoft here: https://www.microsoft.com/en-us/download/details.aspx?id=17657
Install the Windows Server 2003 Resource Kit Tools. Ignore incompatibility warning during installation.
In Admin cmd or power shell:
ntrights -u %USERNAME% +r SeLockMemoryPrivilege 
Reboot.
You should now no longer see the hiloc errors.
Mining ETN
Electroneum uses a memory-bound algorithm for the proof-of-work function based on Monero, and thus ETN/XMR mining relies heavily on memory speed (random access) and latency.
CPU
CPU mining is intended to use your L3 cache, as other memory is too slow for effective hash rates (This is what also what makes ASICs not efficient to mine ETN). So your CPU's L3 Cache size is your main limiter here. Each thread uses 2MB of the L3 cache. An i7 4790k has 8MB of L3 cache, so 4 threads are optimal. You can configure more threads, but you'll find the hash rates drop as it spills over to slower memory. In windows, your real cores are the even numbers, and odd are HT. Linux numbering is the first 4 (0-3) real, and next HT.
xmr-stak auto config defaults usually pretty good here. You may see slightly higher hash rates with no affinity ("affine_to_cpu" : false), depending on your L3 size, and core count. A typical Intel i5 for example has 6MB of L3 cache, so utilizing 4 threads won't make the most efficient use, but you end up with an unused core. You can set affinity to false, and spread the cpu load across the unused core(s), or assign the GPU affinity to the unused core for less disruptive interactions to the system and the mining going on on the working cores (more on this below).
The "low_power_mode" setting will set the work size to 4MB per thread, which on an i7 with 8MB of L3 would allow you to run 2 instead of 4 threads within the memory limits of the L3. This can reduce power consumption or while the system is in use as a normal desktop for day to day task and browsing. I haven't found hyper threading to help much in my use cases, but setting affine_to_cpu : false may work for you depending on the CPU. Setting more threads than you have L3 memory for will usually just result in slower hash rates, even if you have more available CPU cores.
"no_prefetch" is a tossup, and may help, hurt, or do nothing at all for your performance.
Note that Windows numbers real CPU cores with even numbers, and Linux numbers the cores sequentially. Try with and without affinity, and see what works best. If you have a non-HT (Hyper threaded) CPU, your cores will be sequential of course, as you have no HT cores.
A i5 with 6MB of L3 cache will be configured under Windows as:
"cpu_threads_conf" : [ { "low_power_mode" : false, "no_prefetch" : true, "affine_to_cpu" : 0 }, { "low_power_mode" : false, "no_prefetch" : true, "affine_to_cpu" : 1 }, { "low_power_mode" : false, "no_prefetch" : true, "affine_to_cpu" : 2 }, ], 
A Ryzen 1950X with 32MB of L3 cache will be configured under Windows as:
"cpu_threads_conf" : [ { "low_power_mode" : false, "no_prefetch" : true, "affine_to_cpu" : 0 }, { "low_power_mode" : false, "no_prefetch" : true, "affine_to_cpu" : 2 }, { "low_power_mode" : false, "no_prefetch" : true, "affine_to_cpu" : 4 }, { "low_power_mode" : false, "no_prefetch" : true, "affine_to_cpu" : 6 }, { "low_power_mode" : false, "no_prefetch" : true, "affine_to_cpu" : 8 }, { "low_power_mode" : false, "no_prefetch" : true, "affine_to_cpu" : 10 }, { "low_power_mode" : false, "no_prefetch" : true, "affine_to_cpu" : 12 }, { "low_power_mode" : false, "no_prefetch" : true, "affine_to_cpu" : 14 }, { "low_power_mode" : false, "no_prefetch" : true, "affine_to_cpu" : 16 }, { "low_power_mode" : false, "no_prefetch" : true, "affine_to_cpu" : 18 }, { "low_power_mode" : false, "no_prefetch" : true, "affine_to_cpu" : 20 }, { "low_power_mode" : false, "no_prefetch" : true, "affine_to_cpu" : 22 }, { "low_power_mode" : false, "no_prefetch" : true, "affine_to_cpu" : 24 }, { "low_power_mode" : false, "no_prefetch" : true, "affine_to_cpu" : 26 }, { "low_power_mode" : false, "no_prefetch" : true, "affine_to_cpu" : 28 }, { "low_power_mode" : false, "no_prefetch" : true, "affine_to_cpu" : 30 }, ], 
CPU Overclocking
It's not overly important, but overclocking your CPU cache is much more impactful than overclocking your core clocks, in fact I saw very little to no difference in increasing core clocks, as again the algorithm is memory bound.
GPU
nvidia.txt Nvidia CUDA GPU mining will be threaded based mostly on your SM (Streaming Multiprocessors) count, and blocks per each SM (called SMM on older cards). To find this out you need to run a search for your cards "Block Diagram".
How do you know what numbers to use when tweaking, and why.
This is the tricky part, so I want to talk a little bit of what you're looking for when you find these diagrams. (I'm going to expand this section in the future to get a better understanding on maximizing CUDA cores.)
Here is an example of a GTX 1070 block diagram. I've Highlighted one SM in red. You can see there are 4 groups of 5, but 5 SMs are disabled on a 1070. So the SM count on a GTX 1070 is 15. For ETN/XMR mining, you will want to start with a thread count equal to your SM count, and adjust your blocks based on threads.
Your block count will be a multiple of your SM or thread count, a good starting point for block count is between 4x and 6x your SM count. A GTX 1070'd with its 15 SM, using 15 threads would chose a block count of 60 (15x4=60).
A GTX 1080 has 20 SM's, so you'll start with 20 threads per gpu, and blocks are a multiple of your thread count. 4x is a good starting point, so start with blocks at 80 (20x4=80). I've had luck setting 5x (100) and 6x (120) values so try higher and see what works best, if your hashrate falls, drop it back to the previous.
bfactor 8, and bsleep 100 are pretty much good for full speed, maybe drop bfactor down to 6, but you likely won't find any improvement going lower.
Want to use the system while you gpu mine? You'll find your more responsive by increasing the bfactor to 10-12 range, I keep 2 config instances for when i'm using and when i'm not with the bfactor bumped up for non-dedicated use machines. You can set your cpu.txt config above to use half as many threads, and enableing low_power_mode, which doubles the work size from 2MB to 4MB, and will leave you extra cpu power for tasks.
You can lower thread count to reduce utilization and increase power efficiency, but there's typically no benefit or otherwise its harmful to performance to have more threads than your hardware has SM's for. Keep tweaking the blocks in multiples of the thread count to achieve best performance H/s.
Multi-GPU
If you have multiple cards you will just add a index line for each card, and configure according to it's hardware.
Example for 2x GTX 1080's with 8GB of VRAM:
 "gpu_threads_conf" : [ { "index" : 0, "threads" : 20, "blocks" : 80, "bfactor" : 8, "bsleep" : 100, "affine_to_cpu" : 3, "sync_mode" : 1, }, { "index" : 1, "threads" : 20, "blocks" : 80, "bfactor" : 8, "bsleep" : 100, "affine_to_cpu" : 3, "sync_mode" : 1, }, ], 
Nvidia Boost clock tweak: Nvidia's automatic boost clocks are nice, but GPU boost can be a bit inconsistent as it's dependent on load and thermal headroom, that's where NVIDIA’s System Management Interface comes into play. GPU mining does not load your GPU like a typical game does, so setting these clocks manually can be helpful to your hash rates.
First you need to find your supported clocks:
cd C:\Program Files\NVIDIA Corporation\NVSMI\ nvidia-smi -q -d SUPPORTED_CLOCKS | more 
Check the highest reported Memory, and Graphics clocks, will be the first 2 numbers displayed, then set with the command (admin privileges required):
nvidia-smi -ac xxxx,yyyy 
(for my GTX970 this was: nvidia-smi -ac 3705,1455)
revert changes with:
nvidia-smi -rac 
These settings do not maintain through reboot, and must be set each time.
Additional Recommendations:
Set a manual fan curve. GPU temps hovered under where the fans stay off, and then will kick up high for a few moments, and then back off again.
Maxewell cards specifically will want to enable "Optimize for Compute" in the Nvidia control panel under 3D settings. This setting enables higher memory allocation for the GPU (you can set "blocks" even higher). For reasons unknown to me, you also have to enable "DSR factors", and can set any value (I chose 2.0), but it doesn't seem to make a difference. If you do not enable DSR factors, you will get an error with Optimize for Compute enabled, and the GPU module will not load. - Pascal GPU owners do not need this, and will not have the option visible as large memory allocation is not an issue with Pascal.
Nvidia Overclocking
If you want to overclock, memory speeds will net the most gains, with a lesser extent gpu core speeds. Power targets do not need to be increased, and can sometimes be decreased for better efficiency without significant loss in H/s. This is specific only to Nvidia GPU's, as AMD, especially Vega work very differently.
amd.txt
While I don't have any newer Polaris or Vega cards to play around with, I didn't want to leave amd cards entirely uncovered. If anyone has more info or corrections here, I can edit. There is a good guide for Vega mining on the Monero mining subreddit that uses the older xmr-stak-amd, configs are a little different then with the combined xmr-stak 2.2, and you won't be able to do CPU mining without running separate software. The same principles apply though, so you can easily adapt the configs for the newer combined xmr-stak.
The structure of nvidia GPU's and their memory is quite a bit different from Nvidia Cuda. Configs also a bit differently from nvidia, and each thread will have its own settings - configured each in their own bracketed index with the value tied to your GPU. Multiple threads for the same gpu index indicate each thread per gpu. While you can try setting cpu affinity if your situation may be more optimal for it, but I found no affinity typically worked best for me. Creating between 2 and 4 threads per GPU will typically work out better than single threaded.
Basic guidelines to follow are If you multiply intensity by 2, it should be equal or less than your total VRAM. Though I found it hard to consume all of the VRAM without running into issues. This can also be driver dependent. You can start an R9 270 with 2GB of VRAM using half of the VRAM or intensity of 512 (ie. 512 x 2 = 1024). For worksize you can use 4, 8, or 16. Most people stick to 8 or 16. Divide your intensity by the worksize and the result should be a whole number. Single threads will max out (and you'll see H/s drop) lower than multiple threads, but it will give you a good starting point when splitting into multiple threads.
I have an older system with a Radeon 7850, so I'll be using it as an example. only major difference should be that my intensities will be much lower than more modern cards.
Example Radeon 7850 1GB card - single thread:
"gpu_threads_conf" : [ // gpu: Pitcairn memory:524 // compute units: 16 { "index" : 0, "intensity" : 304, "worksize" : 8, "affine_to_cpu" : false, "strided_index" : true }, ], 
I hit some errors going above 304 single threaded, but am able to use more VRAM by running multiple threads.
Example Radeon 7850 1GB card - dual thread:
"gpu_threads_conf" : [ // gpu: Pitcairn memory:524 // compute units: 16 { "index" : 0, "intensity" : 176, "worksize" : 8, "affine_to_cpu" : false, "strided_index" : true }, { "index" : 0, "intensity" : 176, "worksize" : 8, "affine_to_cpu" : false, "strided_index" : true }, 
],
For my situation, going above these numbers resulted in less performance, even though I had more available VRAM.
For Vega 56, and 64 owners can follow the basic guidelines here, or in the Monero guide linked above. Multiple threads tends to work better, but usually only 2 to 4. Threads as well as intensity seemed to be driver dependent, and I couldn't find clear information if the blockchain beta drivers have yet been merged with the latest drivers from AMD, but most are still recommending using the beta driver.
Undervolting, and bios flashes also seemed to be the last steps to extracting the most performance from these cards. They tend to run hot due to HBM2 memory itself running hot (not your GPU core), and this can lead to throttling if you're not careful. You will want/need to have your fans set pretty high to keep your HMB2 sufficiently cool. It's a good idea if you plan on buying one of these cards to look for one that has good cooling for the HMB.
Errors and troubleshooting:
Most errors usually come from copy/paste issues where a bracket gets clipped off, and isn't closed properly. Sometimes these can be hard to see (the use of notepad++ for editing can help here). If you think you may have an issue, you can always make a backup of your config, and then delete the cpu.txt, nvidia.txt/amd.txt files and xmr-stak will regenerate them. Edit again and just modify the values first to avoid issues, and go from there.
Setting intensity or block values too high can run your gpu out of VRAM, and the module will either fail to load, or spit out a cuda or opencl error. Recheck your config, and back it down a bit if values look too high to correct.
Setting too many threads per cpu, or per gpu can cause abnormally low, or even 0'd out H/s values. This usually means you've run over on available memory (either VRAM or L3), and the pipelines are starved. Nvidia users can recheck their block diagram for the SM count, and CPU thread count depends on L3 cache size where each thread consumes 2MB.
It's getting late, and I'm sure I've made a mistake somewhere, but will keep this updated should I find anything, or have new info.
Edit: Updated and corrected some things, and linked to a more Vega specific guide for those with these newer AMD cards.
Edit2: Added additional Overclocking information, and instructions for Optimize for Compute on Maxwell GPU's.
Edit3: Expanded identification of Nvidia SM to hopefully make it easier to understand.
submitted by BOFslime to ETNmining [link] [comments]

Changelog 4.2.6 (18 Dec 2017)

Version 4.2.6
Version 4.2.5
Version 4.2.4
Version 4.2.3
Version 4.2.2
Version 4.2.1
Version 4.2
Version 4.1.2
Version 4.1.1
Version 4.1
IMPORTANT: CcMiner 2.2.2 requires nVidia Drivers 384.xx or later for Cuda9 support.
Version 4.0.7
Version 4.0.6
Version 4.0.5
Version 4.0.4
Version 4.0.3
Version 4.0.2
Version 4.0.1
Version 4.0
submitted by exigesDB to AwesomeMiner [link] [comments]

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We provide binary downloads for CUDA plugin built with CUDA from 9.0 to 11, if you like to build plugin by yourself the only possible option is to use Microsoft Visual Studio. This manual suitable only for CUDA 10.1+ older versions require older Microsoft Visual Studio. You've got several options: Use a different user account, one with execute permissions on that directory.; Change the permissions on the directory to allow your user account execute permissions.. Either use chmod(1) to change the permissions or; Use the setfacl(1) command to add an access control list entry for your user account. (This also requires mounting the filesystem with the acl option ... Fixed server options typo in miner.conf file; HiveOS package is noncerpro-cuda-version.tar.gz. Assets 5. noncerpro-cuda-3.0.1.tar.gz 17.8 MB. noncerpro-cuda-linux-3.0.1.tar.gz 17.8 MB. noncerpro-cuda-win64-3.0.1.zip 15 MB. Source code (zip) Source code (tar.gz) v3.0.0; 7a31597; Verified This commit was created on GitHub.com and signed with a verified signature using GitHub’s key. GPG key ID ... The x86 binary built with cuda 6.5.19 is compatible with all archs including 2.1 and 3.5 like the older builds Download Dont forgot to showoff ur hash rate . robert likes this. Tim Perkins New Member. Feb 14, 2016 6 0 Male #2 Tim Perkins, Feb 15, 2016. Anyone having the issue when you try to start ccminer that it just hangs and never starts? tpruvot Jr. Member. Pool Operator (PoW) Feb 16, 2016 ... In addition to the above command line options, there is a miner.conf file which has the exact same options. If you uncomment any config option, it will be used as the default value for that option in the next run. Config options can still be overridden by command line options. Requirements. Binary packages have been built with CUDA 10.0. You ... a CUDA accelerated litecoin mining application based on pooler's CPU miner - cbuchner1/CudaMiner In addition to the options for the two algorithms, the miner also has an additional option for setting a personalization string (8 characters) for equating algorithms, which may require this. Please note that this is a closed source miner, there are binary files available for Windows and Linux, and by default the built-in development board is 2%. Additional cudaminer specific command line options are: --no-autotune disables the built-in autotuning feature for maximizing CUDA kernel efficiency and uses some heuristical guesswork, which might not be optimal. --devices [-d] gives a comma separated list of CUDA device IDs to operate on. Device IDs start counting from 0! Alternatively give string names of your card like gtx780ti or gt640#2 ... EWBF-miner v0.3.4b (Zcash CUDA miner) EWBF-miner (Zcash CUDA miner) – A miner written for Pascal GPUs, but it works on cards with a memory capacity of at least 1 GB and a processing power of 3 or higher.The miner has a built-in developer commission of 2% (DevFee 2%).EWBF’s Cuda miner is one of the most popular Equihash (Zhash) miners. It is compatible with Nvidia GPUs. ccminer ccminer is an open source project for CUDA compatible GPUs (nVidia). The project is compatible with both Linux and Windows platforms. tpruvot version - focused on the core, api and monitoring, compatible with linux and windows.; Releases - Source code - Forum; KlausT version - close to SP version, more clean.; Releases - Source code; Christian Buchner original version (inactive since ...

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Bitcoin Mining Software for PC 2020 Mining 0.47 BTC In 16 minutes With Your PC

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