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sgminer-5-4-0-siacoin-stratum

The first Siacoin (SC) mining pool with Stratum support by Suprnova is now available in beta and you are welcome to give it a try and report your experience with it. In theory the stratum support should result in further reducing the stale shares and improving efficiency, so if everything works fine you should be able to mine more coins for the same time. Again, a reminder that the pool is still in beta and since it was just recently launched it still has not found a block, but in order to attract users to test it out there is currently a promotion giving away 20% Bonus for every Block found on the pool. Do note that the pool requires a special fork of sgminer with support for Stratum for Siacoin (source).

Below you can find a 64-bit Windows binary of the miner for Siacoin (SC) mining that you need to use for mining on the pool. Our initial tests have shown that the miner offers similar performance to the one you can get with the Siacoin Go pool miner on other pools or just a bit faster with higher intensity. You may experiment with the settings and report what works best on your hardware, we have tested the miner on both AMD and Nvidia GPUs and it works fine on both. Again a reminder that the Siacoin stratum pool is still in beta, so it is for testing only and you might want to move just one GPU for example and not transfer all of your hashrate.

To download and try the Siacoin sgminer Stratum pool miner for AMD and Nvidia GPUs…

sgminer-lbry-gpu-miner

LBRY is a new blockchain-based decentralized content-sharing platform geared towards content creators (filmmakers, musicians, writers, or software developers) who want to have full control over their own work. There are no ads, no corporate censors, and LBRY takes no portion of your income as a content creator and consumers can also benefit as there is finally an alternative to the big media stores. It has been in development for a while, but just recently it was launched in Beta, though you still need to request an invitation in order to be able to get early access. The LBRY network uses its own crypto token called LBRY Credits (LBC) that you can already mine, even if you still have not received your early access to the platform for the moment (while waiting to get it). Not to mention that there is also an operational market for LBRY Credits on Bittrex, so that you can also trade them when you mine some.

Initially LBRY Credits (LBC) mining was only possible with a CPU miner released by bitbandi (source), with compiled Windows binaries by the miner author available here. The CPU miner however is not very useful anymore as a GPU miner has been released shortly after in the form of an sgminer 5.4.0 forked to support the algorithm used by LBRY (source) that is much faster, you can find a downloadable 64-bit Windows binary release below that you can try if you are interested. Do note that the sgminer for LBRY currently works only on AMD GPUs, but with this big interest we are hopefully also going to soon see a GPU miner for Nvidia GPUs as well. There are already two mining pools available with more probably to follow, the first one was made available by Suprnova (not yet updated for the difficulty adjustment of the GPU miner and the GPU miner can provide lower hashrate as a result) and the second one is by Pool.mn that already adjusts difficulty for the significantly higher hashrate of GPUs.

To download and try the sgminer fork for LBRY Credits mining on AMD GPUs (64-bit Windows binary)…

wolf-optimized-kernels

Released under the MIT license for educational purposes, the collected kernels of Wolf are now available on GitHub for public download. The list includes optimized OpenCL kernels for a number of crypto algorithms: AES, Blake, BMW, CubeHash, Echo, Fugue, Groestl, Hamsi, JH, Luffa, Shabal, Shavite, Simd, Skein and Whirlpool. The OpenCL kernels need to be integrated into a miner like sgminer and some extra tweaking might be required, so they are more interesting for developers that are willing to optimize the performance of their own miners. They are even useful in understanding how some optimizations work and may be applied to other algorithms as well, so a good learning tool, at least for developers. If you find something useful or just want to send a tip to Wolf you can do so to his BTC address here: 1WoLFumNUvjCgaCyjFzvFrbGfDddYrKNR.

TO visit the GitHub repository with the released optimized OpenCL kernels by Wolf…


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