Mining

Kire Palceski - GPU Mining - How to start mining Conceal (CCX)

Savage Mine - Conceal (CCX) | smOS | XMRig

Our block reward model uses an innovative approach - block rewards starts small but increases with time.

At the beginning, every block-chain has a small number of transactions per day and the block data is still a small file, but with time the network will grow and the data size will go up. The mining effort will be bigger and more miners will be needed to keep it running sound and safe.

Conceal has a very unique block reward scheme that increases to a max block reward, instead of decreasing as in most other PoW coins. With this simple and logical approach we avoided the unfair enrichment of early miners during the initial stages of the project where mining difficulty is low and successfully reached one of the lowest coin emission curves throughout the crypto space without affecting mining profit. Conceal.Network miners get 100% of the PoW mining fees.

To fairly reward the mining effort we will start with 5 CCX per block and increase it by 0.25 CCX every month until we reach 15 CCX per block (max reward in 3 1/2 years time).

Miners are very important to us.

Conceal Network implemented the Cryptonight-GPU mining algorithm, developed by Psychocrypt and Fireice_uk.

Cryptonight-GPU (CN_GPU) is an ASIC, Botnet, and FPGA resistant mining algorithm that assures a fair GPU based supported network.

CN_GPU relies primarily on GPU core compute performance and is the first mining algorithm that is specifically designed to use floating point math at a single-precision (FP32).

Floating-point operations per second (or Flops), represent just how many computations (additions and multiplications) can be handled per second by a GPU. FP32 refers to the level of accuracy of those numbers (and is the number format).

A CPU generally consists of 4 to 8 CPU cores, while a GPU generally consists of hundreds of smaller cores. Since ASIC, Botnet, and FPGA builds rely on specialized low memory CPU computation, a mining algorithm based around GPU core compute performance renders them unprofitable.

GPU performance with the CN_GPU mining algorithm relies on physical core count and its clock in Mhz, making AMD and Nvidia GPUs very similar in performance.

The goal of the CN_GPU mining algorithm is to assure fair GPU mining: AMD and NVIDIA GPU lineups are equalized. Low-end and high-end GPUs are measured based on core compute performance (Flops performance). To eliminate any CPU and Botnet mining advantage. To force ASIC or FPGA design to be cost-prohibitive.

This algorithm is mineable using both CPU as well as GPU. Mining applications are available for CPU, NVIDIA and AMD GPUs. The following list of miners are known to work with our algorithm.

Pick your favorite mining software from the above list and get ready to configure the miner. If you have not used any of these miners before then we recommend you to go through this beginners guide.

https://explorer.conceal.network/index.html#pools

https://miningpoolstats.stream/conceal

https://www.cryptunit.com/coin/CCX