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CUDA Competition Powered by NVIDIA and iXBT.com
Just over ten days left until the end of the competition for the best development in the CUDA environment,
and we remind you that those wishing to participate with their works and projects must submit their
applications no later than July 18, 2021, 20:00 CET.
As part of supporting the CUDA competition at the iXBT conference.com a dedicated support forum is open: forum..com /?id = 105,
where you can discuss everything related to CUDA and the competition itself.
Representatives of NVIDIA Corporation will attend the new forum,
to answer questions asked, participate in discussions, help with advice or an idea.
All kinds of standalone applications or additional software modules are accepted for the CUDA ™ competition
(plugins) running on Windows, Linux or MacOS operating systems. Innovative useful
applications that efficiently use the computational resources of the GPU. Application systems
for scientific research, the competition is not allowed. Here is a sample list of applications:
- Multimedia, i.e. processing of photo / video / audio data
- Security i.e. firewalls / antivirus / crypto applications
- Productivity programs such as archivers and managers
The competition is sponsored by NVIDIA Corporation and the iXBT website.com. The following prizes will be awarded to the winners:
- 1st Prize: Modern Laptop with Powerful NVIDIA GeForce Graphics
- 2nd Prize: Professional Graphics Accelerator based on NVIDIA QUADRO 3700 PCI-E
- 3rd Prize: Graphics Accelerator NVIDIA GeForce 9600GT 512MB
The CUDA ™ development environment provides programmers with the tools to tackle new challenges in heavy applications,
such as application development, data analysis, technical computing and game physics.
Hardware solutions supported by CUDA include consumer video cards GeForce 8800, as well as new
models of professional solutions of the Quadro and Tesla series.
A GPU with CUDA works either as a flexible stream processor, where thousands of computational programs, called threads,
or threads, together solve complex problems, or as a stream processor in specific applications, for example,
for displaying an image where streams are not linked. CUDA-enabled applications use the GPU to
fine-grained, compute-intensive and multi-core CPUs for complex coarse-grained tasks such as,
for data control and management.
The CUDA ™ Toolkit is a CUDA-enabled GPU development environment based on the C language.
More information about CUDA can be found on the competition website: cuda..com / cuda.shtml
Both individual participants and development teams are invited to participate in the CUDA competition.
You can register and learn more about the conditions of the competition on a special website: cuda..com
All questions can be asked in a specially created competition support forum: forum..com /?id = 105.
We wish you good luck and fruitful work!