Posts Tagged ‘eaglesong’

TT-Miner 3.1.0 Beta 3 Nvidia GPU Miner With EagleSong Supports

18, Nov 2019

The latest TT-Miner 3.1.0 Beta 3 comes with added support for the Eaglesong algorithm used by the Nervos (CKB) making this yet another option for a GPU miner for Eaglesong. This update also removes support for the Myriad-Groestl and the Teo version of Ethash (TEO), brings some improvements for the MTP algorithm on RTX GPUs and some small improvements for all ProgPoW variants (ProgPoW, ProgPoWZ and ProgPoW092). Do note that if you get a missing DLL error when trying to run the miner on Windows you may need to download the latest Microsoft Visual C++ Redistributable for Visual Studio 2015, 2017 and 2019.

As far as performance for EagleSong is concerned, we are seeing slightly slower performance with TT-Miner compared to the latest NBMiner and GMiner (100+ MH/s slower on GTX 1080 Ti), so definetly needs some more optimizations to ctch up to the fastest Nvidia GPU miners. Is it worth the effort however is entirely different thing as there is information about FPGA support available for the EagleSong algorithm the bitstreams and miners available for Alveo U200 and Xilinx VCU1525 FPGAs, though with the current performance GPU mining on high-end GPUs might still be viable for a while.

TT-Miner supports ProgPOW, Ethash, UBQhash, MTP, Lyra2REv3, Epic and EagleSong algorithms on Nvidia GPUs and is available for Windows and Linux as pre-compiled binaries, a closed source miner with 1% developer fee for all of the supported algorithms.

– For more information and to download and try the latest TT-Miner 3.1.0 Beta 3 for Windows…
– For more information and to download and try the latest TT-Miner 3.1.0 Beta 3 for Linux…

New SRBMiner-MULTI CPU and AMD GPU Miner 0.1.7 Beta With m7mv2 Support

18, Nov 2019

The latest SRBMiner-MULTI CPU and AMD GPU Miner version 0.1.7 brings support for the m7mv2 algorithm (CPU only) used by Magi Coin (XMG) along with some improvements such as better CPU auto configuration compared to earlier releases that had some issues using optimally all cores. We haven’t been following XMGM for quite some time now, but it is good that the project still continues and is developing, including forking to new algorithms such as the m7mv2. With the previous release SRBMiner-MULTI 0.1.6 the miner became a viable alternative to XMRig regarding RandomX support, so this is probably going to be generating a lot of interest as we get closer to the end of the month and the XMR fork to this new algorithm.

SRBMiner-MULTI CPU & AMD GPU Miner 0.1.7 beta changelog:
– Added ‘m7mv2’ algorithm (Magi coin – XMG)
– Cpu auto configuration should be better than on previous versions
– Added CPU data to API, also rearranged a few things in API
– Console window ‘Quick Edit’ mode disabled on miner start, so users won’t accidentally pause miner by clicking in the console window

– To download and try the new SRBMiner-MULTI CPU and AMD GPU Miner 0.1.7 Beta…

New NBMiner 26.1 With Improved Nvidia Performance for CKB and Dual Mining on AMD

15, Nov 2019

The latest NBMiner 26.1 update comes with a bit of improvement in the performance for mining CKB on Nvidia GPUs as well as support for Dual Mining ETH + CKB on AMD GPUs (dual mining was already available for Nvidia users). This update is just in time for the official launch for the Nervos CKB mainnet launch planned for tomorrow that uses the Eaglesong mining algorithm. Aside from NBMiner, you can also use GMiner and SRBMiner-MULTI for the Eaglesong algorithm, though with the latest update NBMiner should be slightly faster on Nvidia than GMiner.

We remind you that the NBMiner is a closed source GPU miner for Nvidia CUDA and now AMD as well that is available for both Windows and Linux operating systems and it has the following developer fee built-in: tensority_ethash 3%, tensority (Pascal) 2%, tensority (Turing) 3%, ethash 0.65%, cuckaroo & cuckatoo & cuckaroo_swap 2%, progpow_sero 2%, sipc 2%, bfc 3%.

– To download and try the latest NBMiner 26.1 Nvidia and AMD GPU Miner for Windows/Linux…


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