Posts Tagged ‘XMRig RandomARQ

The latest release of the XMRig 5.1.0 just came out after the successfull Monero (XMR) hardfork to RandomX and it brings improvements in performance. RandomX performance is improved up to +6-7% on Intel CPUs and +2-3% on Ryzen CPUs, so if you are mining Monero (XMR) at the moment or any of the other RandomX-based crypto projects such as LOKI, ArQmA or Wownero you might want to update your mining software. The developer of the mining software also notes that you should always disable “Hardware prefetcher” and “Adjacent cacheline prefetch” in BIOS for Intel processors in order to get the optimal RandomX performance with them. With this latest performance improvement XMRig might yet again lead the pack of RandomX miners by a bit, followed by SRBMiner-MULTI and still the bit slower XMR-STAK-RX.

To download and try the latest version of the XMRig miner with RandomX algorithm support…

After a number of 4.x beta releases here comes the XMRig 5.0.0 that is first stable unified 3 in 1 GPU+CPU release (first introduced in v4.5.0-beta), OpenCL support builtin into the miner and not require additional external dependencies on compile time, NVIDIA CUDA available as external CUDA plugin, for convenient, 3 in 1 downloads with recent CUDA version also provided (CUDA 10.1). This release is based on the 4.x.x beta series and include all features from v4.6.2-beta, so nothing that much new as features added in the latest stable release. Do note that version 5.0 has the algorithm cn/wow removed (previously used by Wownero) as the project now uses rx/wow – RandomWOW (RandomX variant for Wownero).

Lately we were following closely the XMRig miner software as the one mostly focused on the new RandomX CPU algorithm and its few already available variants, but now it seems that XMRig is getting some competition in the face of the SRBMiner-MULTI miner software that has recently added support for RandomX and variants and is already up to date in terms of performance. XMRig however still has the advantage of being open source and cross platform plus the Nvidia GPU support as SRBMiner-MULTI is a closed source miner available currently only for Windows with CPU and AMD GPU support for a more limited number of algorithms.

To download and try the latest version of the XMRig CPU miner with RandomX support…

We have already mentioned the plans of ArQmA (ARQ) to fork to a new RandomX-based algorithm called RandomARQ and that has happened a few days ago and we have tried CPU mining the new algorithm. Since it is based on RandomX we expected to see significant advantage for the latest AMD’s Ryzen CPUs like we’ve seen with RandomX and some other variants of the algorithm used by other projects. To our surprise however Intel’s multi-core processors are actually not that far behind in terms of performance (a few times slower like on RandomX). Of course Intel is still slower, but the actual difference is not as much as we’ve seen so far and that is definitely good news for miners that have some spare Intel CPUs that might be interested in mining something based on RandomX.

We have tested performance using the latest XMRig miner and SRBMiner-MULTI miner with the seond one still performing slower as we have seen with other RandomX algorithms compared to XMRig. With an AMD Ryzen 3600 using XMRig we are getting around 22.8 KH/s while on Intel Core i7 6850K CPU we get about 17 KH/s, both being 6 core – 12 thread processors though the AMD one is much newer product. With SRBMiner-Multi the results were 13.4 KH/s with the AMD and 7.8 KH/s for the Intel CPU, so you better stick to XMRig for mining ARQ for now and you might want to also test your Intel processor(s) as well for the RandomARQ algo. The not so good news however is that profit for a single CPU mining ArQmA (ARQ) is well nonexistent, unless you do not pay for electricity… 20 USD cents per day for the Intel and 30 for the AMD processors. These dayly earnings could probably just cover your electricity costs if you have cheap electricity at 10 USD cents per kilowatt.

If you are still interested in the ArQmA (ARQ) crypto project and the RandomARQ algorithm…


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