Why does mining burn graphics card
Publish: 2021-05-03 00:57:16
1. mining mainly depends on the graphics card, the damage is also the graphics card. At that time, bitcoin, lightcoin and other crazy time, many people loading machine, a minimum of six 7850 or more graphics card, 24-hour uninterrupted operation, and later devalued a day's electricity charges can not earn, so second-hand graphics card mining card can't buy!!
2.
Graphics card mining is a process of increasing the bitcoin money supply
the reason why the graphics card is used is that mining is actually a competition of performance and equipment. The mining machine is composed of graphics card array. With dozens or even hundreds of graphics cards, the cost of hardware and other costs is very high, and there is a considerable expenditure in mining
computers have professional mining chips, and most of them work by installing a large number of graphics cards, which consumes a lot of power. One of the ways to get bitcoin is to download mining software and then run specific algorithm to communicate with remote server to get corresponding bitcoin
3. Graphics card mining needs a long time of power supply work, and the graphics card is in the full load stage, the temperature of the graphics card will rise to a very high level, so it has great damage to the graphics card
4. Obviously, the graphics card is responsible for the management of your computer display. If it goes wrong, there will be problems in the blue screen. For example, if the temperature of the graphics card is too high, the normal work of the graphics card will be affected, and the blue screen may appear
5. The optical graphics card is good. If the graphics card is not good, and your CPU function is not good, then there must be a problem with your machine, so you must choose a better one.
6. Compared with CPU, GPU computing will have an absolute advantage in bitcoin mining
1. CPU is mainly optimized for serial instructions, while GPU is optimized for massively parallel operations
2. Modern multi-core CPU aims at instruction set parallelism (ILP) and task parallelism (TLP), while GPU is data parallelism (DLP)
3. GPU often has a larger bandwidth of memory, that is, the so-called video memory, so it will also have good performance in high throughput applications
the CPU needs strong generality to deal with various data types, and at the same time, it also needs logical judgment, and it will introce a lot of branch jump and interrupt processing. All these make the internal structure of CPU extremely complex. GPU is faced with highly unified, interdependent large-scale data and pure computing environment without interruption. GPU uses a large number of computing units and ultra long pipeline, but it only has very simple control logic and saves cache. The CPU not only occupies a lot of space by cache, but also has complex control logic and many optimization circuits. So unlike CPU, GPU is good at large-scale concurrent computing, which is suitable for password cracking
in short, CPU is a general-purpose operation. In short, it means brainless calculation and violent calculation. Whether it's 100 children sharing apples or simulating the earth, it can be decomposed into the most basic calculation of 1 + 1 = 2. GPU is specially designed to deal with high-order mathematical algorithms, such as calculating the relative positions of light source, object, viewpoint and shadow, which requires trigonometric functions to be piled up. The bitcoin digger uses SHA-256, a secure hash function invented by the US National Security Agency, which is generally used for password encryption and decryption. This algorithm can perform a large number of 32-bit integer right-rotate operations, which is very suitable for GPU which is good at large-scale concurrent computing and password cracking.
1. CPU is mainly optimized for serial instructions, while GPU is optimized for massively parallel operations
2. Modern multi-core CPU aims at instruction set parallelism (ILP) and task parallelism (TLP), while GPU is data parallelism (DLP)
3. GPU often has a larger bandwidth of memory, that is, the so-called video memory, so it will also have good performance in high throughput applications
the CPU needs strong generality to deal with various data types, and at the same time, it also needs logical judgment, and it will introce a lot of branch jump and interrupt processing. All these make the internal structure of CPU extremely complex. GPU is faced with highly unified, interdependent large-scale data and pure computing environment without interruption. GPU uses a large number of computing units and ultra long pipeline, but it only has very simple control logic and saves cache. The CPU not only occupies a lot of space by cache, but also has complex control logic and many optimization circuits. So unlike CPU, GPU is good at large-scale concurrent computing, which is suitable for password cracking
in short, CPU is a general-purpose operation. In short, it means brainless calculation and violent calculation. Whether it's 100 children sharing apples or simulating the earth, it can be decomposed into the most basic calculation of 1 + 1 = 2. GPU is specially designed to deal with high-order mathematical algorithms, such as calculating the relative positions of light source, object, viewpoint and shadow, which requires trigonometric functions to be piled up. The bitcoin digger uses SHA-256, a secure hash function invented by the US National Security Agency, which is generally used for password encryption and decryption. This algorithm can perform a large number of 32-bit integer right-rotate operations, which is very suitable for GPU which is good at large-scale concurrent computing and password cracking.
7. Bitcoin mainly uses hash algorithm
compared with GPU, GPU is more efficient
compared with GPU, GPU is more efficient
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