Purk (PURK) is a new open source, mineable and autonomous cryptocurrency that is being described as a currency that can be used to monetize anything from website content, blog articles, multimedia, products and a variety of online services by allowing users to tip or donate to content owners anonymously. The developers say that Purk was created to help content owners and service providers monetize their website or application by accepting quick and easy micropayments from their users or customers. Purk is based on Boolberry and CryptoNote technology and utilizes the Wild Keccak algorithm which helps balance CPU, GPU and ASIC mining speeds, whilst providing extremely fast block verification times.
The Purk coin uses a new CPU and GPU (OpenCL) miner using Wild Keccak algorithm and compatible with both AMD and Nvidia GPUs and currently has only one official mining pool for the moment. Although it seems interesting and promising from a mining point of view as well as from user point of view, if it can deliver on the promises it makes, but unfortunately it has been plagued right from the launch yesterday. There were issues with the pool not properly reporting information to miners, but most of all connection issues that unfortunately continue and make the coin problematic to mine. You might still be interested to give it a go and keep an eye on the development of the project, we plan to do so for at least a bit more hoping that the issues will be solved.
If you are interested in mining the coin you should know that the CPU mining is significantly slower, about 1 MHS on an Intel Core i7 6850K CPU while on GPU you can get much better results. Since the miner uses OpenCL it is going to be faster on AMD GPUs, especially on 6x AMD RX VEGA 64 for example where you can get something like 35 MHS while on 6x Nvidia GTX 1080 Ti it is just more like 17 MHS. The miner code could be further optimized in order to improve performance because the load on the GPUs is not that high and the operating temperatures while mining Purk are pretty low compared to other algorithms.