Developed in partnership with NVIDIA, this hands-on four day course will teach students how to write and optimize applications that fully leverage the multi-core processing capabilities of the GPU. Taught by Acceleware developers who bring real world experience to the class room, students will benefit from:
- Hands-on exercises and progressive lectures
- Individual laptops equipped with NVIDIA GPUs for student use
- Small class sizes to maximize learning
July 29 – August 1, 2013, San Jose, CA, USA. More information: http://www.acceleware.com/training/913
AccelerEyes has released dates for their upcoming CUDA and OpenCL training courses.
More information can be found on the courses’ webpages.
The fall schedule for Acceleware’s training courses is now available.
- OpenCL: August 21-24, 2012, Houston, TX
- CUDA: October 2-5, 2012, San Jose, CA
- OpenCL: October 16-19, 2012, Calgary, AB
- CUDA: November 6-9, 2012, Houston, TX
- CUDA: December 4-7, 2012, New York, NY – Finance Focus
- AMP: December 11-14, 2012, Chicago, IL
More information: http://www.acceleware.com/training
The Virtual School of Computational Science and Engineering (VSCSE) helps graduate students, post-docs and young professionals from all disciplines and institutions across the country gain the skills they need to use advanced computational resources to advance their research. The VSCSE deploys conventional collaboration technologies in unconventional ways to create a national-scale virtual classroom that provides multiple high-quality audio and video channels for speakers, remote audiences, and various forms of content of immediate educational value to students.
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Partnering with NVIDIA and Microsoft, this four day CUDA training course is designed for Researchers and Programmers in the life science industries who are looking to develop comprehensive skills in writing and optimizing applications that fully leverage the many-core processing capabilities of the GPU. It is held in Boston, MA, on June 4-7, 2012. This course will have a life science theme. Commonly used algorithms such as Monte Carlo methods, FFT and filtering will be used and profiled in examples. The case study on day 4 focuses on the efficient implementation of a molecular dynamics simulation. More information: http://www.acceleware.com/jun4boston
Partnering with NVIDIA, this four day course (May 8-11, 2012) is designed for Programmers who are looking to develop comprehensive skills in writing and optimizing applications that fully leverage the multi-core processing capabilities of the GPU.
Delivered by Acceleware Developers, who provide real world experience and examples, the training comprises of classroom lectures and hands-on tutorials. Each student will be supplied with a laptop equipped with NVIDIA GPUs for the duration of the course. Small class sizes maximize learning and ensure a personal educational experience.
More information: http://www.acceleware.com/may8calgary