Ethereum: Unpacking compromises of performance for bitcoins mining
As the popularity of the cryptomena continues to grow, the mining of bitcoins has become an increasingly complex process. One of the key components that determines the ability to carry out a graphics card is not its clock speed or the number of flow processors (SPS), but rather how it is optimized for mining. In this article, we dive into the relationship between the components and examine which aspect of the graphics card is used during the mining of bitcoins.
Understanding components
The graphic processing unit (GPU) on your computer consists of several key components:
- flow processors (SPS) : These are SPS for GPU that manage general computing tasks, including portraying games, calculations of physics and encryption. A higher number of SP is usually reflected in better performance.
- CUDA Cores : This applies to processing cores within the SPS. Cuda is a parallel computing platform and a programming model developed by Nvidia.
- Memory (VRAM)
: The amount of memory available for GPU to store data and perform instructions.
Mining process
During the extraction of bitcoins, you basically solve complex mathematical equations that require significant computational power. To make it effective, your computer must calculate the solution with a huge number of SPs that work at the same time.
This is how components come into play:
* Hour speed : GPU hours speed is determined by the number of processing cores (eg NVIDIA GeForce GTX 1080 Ti) and is used to calculate the time it needs for one operation. Faster clock speed is reflected in multiple transactions processed per second, making it an important mining factor.
* Number of flow processors : Although not as critical as the speed of the clock, having more SP can lead to performance improvement. However, increasing the number of SP also increases energy consumption and heat production.
Which component is the most important for mining?
While the speed of the clock and the number of SP are important considerations in the extraction of bitcoins, research suggests that
clock speed is a significant determining factor than to have more SP. This may seem contra they contrainth, but this is because high speed GPU can solve mathematical problems with higher frequencies in terms of faster transaction processing.
NVIDIA studies of 2018 found that the number of SPS was not as important as the speed of clock for bitcoins. Scientists have tested various configurations with different GPU architectures and hours of hours, concluding that the speed of the clock had more impact on performance than SP.
Radeon or GeForce?
While both AMD and NVIDIA offer high -performance GPUs for cryptocurrency extraction, Radeon cards (eg RX 580) are generally more cost -effective and efficient compared to their NVIDIA counterparts. However, they do not have to be as strong as their NVIDIA counterparts at specific hours of hours.
To give you a better idea, there is a rough estimate of the performance difference between different GPU architectures:
| Architecture speed hours (GHz) Number of SPS
| — | — | — |
| AMD Radeon RX 580 | 1.5 GHz | 2304 |
| NVIDIA GeForce GTX 1660 Ti | 1.7 GHz | 2560 |
Keep in mind that these numbers are approximate and may vary depending on the specific configuration and use.
Conclusion
As for the extraction of bitcoins, the clock speed is a more important factor than to have more flow processors (SP) or faster clock speeds. While both components are essential for performance, NVIDIA high -performance GPUs traditionally offer better performance at specific clock speeds. When new GPU architectures appear, we can see a shift in the relative meaning of these factors, but the clock speed remains a key factor for cryptocurrency miners.