SLI computing power
Publish: 2021-04-19 05:24:43
1. My seven rainbow gtx1060 3G Samsung granule does not exceed the frequency. The calculation power is 19. After exceeding the frequency, it can reach 24. So either the way you measure it is wrong or there is something wrong with your graphics card.
2. NVIDIA's SLI technology does not limit the number of graphics cards, but limits the graphics card itself. Because only high-end graphics cards support SLI technology, I believe you know that 760 is qualified, but 210 is completely bright, which has nothing to do with high-end graphics cards. Moreover, different cores cannot form SLI.
3. One thousand minus 570 is 430.
4. What are you talking about? The 2060s is the main force. Your collocation is obviously that the 2080s is the main force plus a 2060. I think it's almost the same as the 2080ti. It's impossible to defeat.
5. Can not SLI graphics card can only use a single card slowly dig, there is no better way.
6. It seems that the reason for SLI is that i74710mq + gt755msli also has no isomerism. It is said that igpu isomerism is to test the collaborative computing ability of CPU and integrated graphics card. Using SLI integrated graphics card is blocked. I think it is because of this that there is no isomerism
7. Hello, NVIDIA compact al precision mole is because there are too few users who need it. Most of the high-end graphics cards are used for games and other purposes unrelated to general computing. This mole will increase the manufacturing cost and power consumption. I hope you can adopt it
8. First of all, we need to make a constraint on "stronger computing power", because in addition to the calculation speed of CPU / GPU, we also need to consider the data transmission speed (bandwidth) between multiple computers and disk I / O. In many cases, the time consumed by data transmission is much longer than the computing time
all tasks supporting parallel computing can be split into multiple parallel computing processes. Taking maprec as an example, most maprec algorithms need to satisfy the commutative law and the associative law. Therefore, it is necessary to ensure that the tasks performed meet the requirements of parallel computing models (maprece, MPI, etc.), including algorithm and data structure. Or, the results of the original algorithm can be approximately obtained by using the algorithm satisfying the parallel computing model
from the implementation level, the simplest way is to use the existing parallel computing framework, such as MPI / openmpi, to write algorithms to perform tasks in its framework. Using Hadoop is another choice, but Hadoop is more suitable for big data storage than computing intensive tasks because it is a master-slave structure and has some overhead for disaster recovery support
btw: the SLI and crossfire technologies of GPU can also be regarded as such an implementation to some extent.
all tasks supporting parallel computing can be split into multiple parallel computing processes. Taking maprec as an example, most maprec algorithms need to satisfy the commutative law and the associative law. Therefore, it is necessary to ensure that the tasks performed meet the requirements of parallel computing models (maprece, MPI, etc.), including algorithm and data structure. Or, the results of the original algorithm can be approximately obtained by using the algorithm satisfying the parallel computing model
from the implementation level, the simplest way is to use the existing parallel computing framework, such as MPI / openmpi, to write algorithms to perform tasks in its framework. Using Hadoop is another choice, but Hadoop is more suitable for big data storage than computing intensive tasks because it is a master-slave structure and has some overhead for disaster recovery support
btw: the SLI and crossfire technologies of GPU can also be regarded as such an implementation to some extent.
9. It seems that it's because of SLI.
mine is i7 4710mq + gt755m. SLI also has no isomerism.
it's said that igpu isomerism is to test the collaborative computing ability of CPU and integrated graphics card. If SLI is used, integrated graphics card will be blocked.
I personally think that's why there is no isomerism
mine is i7 4710mq + gt755m. SLI also has no isomerism.
it's said that igpu isomerism is to test the collaborative computing ability of CPU and integrated graphics card. If SLI is used, integrated graphics card will be blocked.
I personally think that's why there is no isomerism
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