FAQs page of Hybrid DSP
Whenever thinking of frequently asked Questions FAQs about hybrid DSP here are some of the questions that one may need to consider.
What is DSP?
Here you want to create awareness about what you are talking about. DSP is an abbreviation for demand-side Platforms. It is a computer system that accepts clients of digital advertising inventory, to manage many ad exchanges and other data exchange accounts using just one interface.
How do I get GPUDirect?
A client may be interested in getting information about he will be able to get the GPUDirect. Here it is good to note that the GPUDirect peer to peer transfers together with the memory access are supported by CUDA driver. Therefore all that will be needed is a CUDA toolkit latest or maybe v4.0 and R270 drivers.
In addition to that, the client can check on the documentation from support on Linux distribution.
What is CUDA?
There may be new clients who may like to know what CUDA is. Therefore it will be good if that is explained.
CUDA is a parallel programming module and computing platform. Its main use is that it enables dramatic increases in computing performance in a computer. It manages this by enhancing the power of the Graphics Processing Unit. Commonly abbreviated as GPU.
Where can i Get More Information about GPUDirect support for RDMA?
It can be possible also for a client to read for himself more about GPUDirect support. On the internet is one place where one should look for such. In addition, CUDA toolkit does have all the necessary documentation on information about integrating RDMA support.
Does CUDA Support Multi-Graphics Cards in one system?
This is yet another content that should be considered on the FAQs. The answer to this question is yes. However, it is not done automatically. But the Applications in use can distribute tasks along the many GPUs. But this does not rule out the fact that the application has complete control.
What is NVIDIA?
NVIDIA enables the necessary transition of energy for the efficient parallel computing power of CUDA cores per processor. That is it enables and enhances vast and accurate commuting challenges on the CUDA. It is quite important to feature this on the FAQs in order for the client to know what kind of Equipment that he is about to purchase, that way he will be able to make an informed decision.
What operating System Does CUDA Support?
The kind of the Operating system that supports CUDA is yet another element that can’t go unnoticed. This will help the client Know if his system will be able to support CUDA,
Among the operating systems that do support CUDA include, Mac OS, Windows, and Linus OS. However, even the latest CUDA Toolkit does have all the necessary information about that. Therefore one can refer the client to the same.
Which GPUs Supports Running CUDA Accelerated applications?
Since CUDA will ensure that some applications will be accelerated it is good to know which kind of applications will be accelerated.
In all NVIDIA Ge-Force, Quadro, and Tesla GPUs CUDA is a standard feature. This means that it will be able to support the said applications. On top of that one can also get a full list of the same on the internet.
How can I get information on GPU temperatures from my Application?
It is always good to ensure that you maintain the GPU temperatures at their optimum level. Therefore a client may like to know how he will be able to get information about the same on the application.
A Microsoft Windows platform, NVIDIA, and NVAPI does give them access to the GPU temperature. Not only that but they also give minimal GPU functions.
What Do I Need To Distribute My CUDA Application?
A client may be interested to know if there are other applications or other mechanisms that can be used in order to distribute the CUDA application.
With CUDA Driver literally all the applications that do use API drivers will be able to distribute the said CUDA application. In addition, the application that uses runtime API will only require the runtime library under windows in order to perform the said task.
However, it is also good to check on the end user agreement in order to ascertain whether these rights are either prohibited or otherwise on the CUDA toolkit.