Workshop - NVIDIA Fundamentals of Accelerated Computing with CUDA Python

SnT conducts internationally competitive research in information and communication technology, ICT, with high relevance creating socio-economic impact. In addition to long-term, high-risk research, SnT engages in demand driven collaborative projects with industry and the public sector.

Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg

Booking required Booking deadline: Wednesday 28 August 2019 
This course explores how to use Numba—the just-in-time, type-specializing Python function compiler—to accelerate Python programs to run on massively parallel NVIDIA GPUs. You’ll learn how to:: 
<UL>
<LI>Use Numba to compile CUDA kernels from NumPy universal functions (ufuncs) </LI>
<LI>Use Numba to create and launch custom CUDA kernels </LI>
<LI>Apply key GPU memory management techniques</LI>
</UL>
 
Upon completion, you’ll be able to use Numba to compile and launch CUDA kernels to accelerate your Python applications on NVIDIA GPUs.
 This workshop is fully hands-on with multiple coding exercises, thus previous Python experience would be beneficial. However, CUDA is covered entirely by the material; attendees that have never used CUDA before will gain everything required to be immediately productive with CUDA Python, while more experienced CUDA developers will have an opportunity to focus on and experiment with the more advanced features that maximize performance.
 Seating is limited to 40 and prior registration is required by NVIDIA to reserve sufficient hardware resources in their cloud. Please reserve your place by Wednesday, August 28. Lunch will not be provided. The workshop will be given by Dr Georgios Varisteas, Research Associate in the SEDAN Research Group, and a certified NVIDIA DLI instructor. 
 
<H3>Photography</H3>
Please note that a photographer will be present at this event. The images may be published by the University, e.g. on its social media, its website and in print products. If you do not wish to be photographed, please alert the organisers and the photographer.
<H3>Data processing policy</H3>
The Interdisciplinary Centre for Security, Reliability and Trust (hereafter “SnT”) collects and processes your personal data in the framework of your registration and your participation in this event and the communication of its future activities. SnT processes and keeps your personal information only to the extent necessary to fulfill the purpose stated.
During the registration process your personal data is being collected and processed on the Eventbrite website by Eventbrite Inc. located in the United States. This will involve the transfer of personal data to countries that do not offer the same level of protection as the European Union regarding data protection rules. Eventbrite Inc. participates in and complies with the EU-U.S. Privacy Shield framework as set forth by the US Department of Commerce regarding the collection, use and retention of personal data. Eventbrite may process your personal data as a controller for different purposes than the purposes of the University of Luxembourg. More information is provided on <A HREF="https://www.eventbrite.com/" TARGET="_blank">Eventbrite Inc.’s website</A> in their EU-US Privacy Shield Notice, Privacy Notice and Terms of Services.
You can deregister from the event directly on the Eventbrite website and withdraw your consent for the processing of personal data by SnT for the purpose stated above. You have the right to access, rectify, and erase your personal data as well as further rights described on the <A HREF="https://www.uni.lu/university/data_protection/your_rights" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">University of Luxembourg's website</A>. You can exercise your rights by following the procedure described on the website.

Workshop - NVIDIA Fundamentals of Accelerated Computing with CUDA Python

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Workshop - NVIDIA Fundamentals of Accelerated Computing with CUDA Python

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