Event:

Accelerating Bioinformatics

Date: Monday 25th March - Tuesday 26th March 2019
Location: NVIDIA Headquarters Endeavor, Santa Clara, CA, USA

Oxford Nanopore technologies and Nvidia invite you to attend a 2-day course on the fundamentals of CUDA and how to accelerate Bioinformatics pipelines on GPU technology.

This course will be taught by Nvidia Solutions architects who work with academia and industry on how to accelerate their pipelines enabling faster development, testing and results.

This workshop is for developers, scientists, engineers, researchers and students who want to learn about GPU programming, algorithms, and optimisation techniques.

This course will suit anyone who:

• develops algorithms or tools and wishes to understand how to accelerate these up by utilising the power of GPUs
• has recently bought GPUs and is looking to implement them into their infrastructure

Agenda (subject to change)
Monday 25th of March

• CUDA Fundamentals: A full day covering the CUDA software stack, how to develop, deploy and accelerate with it

Tuesday 26th March

• Implementing Bioinformatics analysis pipelines on GPU technology: A hands on day with the Nvidia life science team where you will be exercising your CUDA knowledge and applying it to tools relevant to you

Wednesday 27th March 

• Optional half day to speak to specialists about your own work

Attendees should have a basic understanding of the C or C++ programming languages. Experience in genomics is not essential. We welcome attendees who have specific questions about how to accelerate their own work on GPU. 

There is no delegate fee for this course. However, travel and accommodation will need to be covered by your organisation. There is a hotel room block at The DoubleTree by Hilton San Jose, starting on March 24 through March 27, 2019. Click here to make a reservation.

Delegates are required to bring their own laptop.

Your place at this event will be confirmed via email from events@nanoporetech.com. Completion of this form does not constitute confirmation. Spaces are limited and will be allocated on a first-come, first-served basis.

Please complete the form below to apply for a place..