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mining [2020/06/19 19:11] – [Mining Guides] boot2thrillmining [2021/01/05 22:20] – [Custom PoW Algorithm - Cryptonight Conceal] boot2thrill
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 ==== Mining Guides ==== ==== Mining Guides ====
  
-How to mine Conceal? - https://www.youtube.com/watch?v=lfRoYzVeHyc+[[https://www.youtube.com/watch?v=lfRoYzVeHyc|Kire Palceski - GPU Mining - How to start mining Conceal (CCX)]] 
 + 
 + 
 +[[https://www.youtube.com/watch?v=2jBL4uzrimk&t=9s|Savage Mine - Conceal (CCX) | smOS | XMRig]] 
  
-https://www.youtube.com/watch?v=2jBL4uzrimk&t=9s 
  
 ==== Block Rewards ==== ==== Block Rewards ====
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 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). 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).
 +
 +==== PoW Algorithm - Cryptonight-GPU ====
 +
 +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.
 +
 +
  
 ==== Mining And Miners ==== ==== Mining And Miners ====