CUDA Course Sept 2-5, 2014, Houston

July 22nd, 2014

Partnering with NVIDIA, this four day CUDA training course, held in Houston is designed for programmers in the oil and gas industry who are looking to develop comprehensive skills in writing and optimizing applications that fully leverage the many-core processing capabilities of the GPU. Commonly used algorithms such as filtering and FFTs will be used and profiled in the examples. The case study on day 4 focuses on efficient implementation of a finite difference algorithm which is highly applicable to reverse time migration. However a background in oil and gas is not necessary. For more information and to view a copy of the course outline please visit: http://acceleware.com/training/987

Acceleware CUDA Training Feb 25-28, 2014

January 15th, 2014

Developed in partnership with NVIDIA, this hands-on four day course will teach how to write and optimize applications that fully leverage the multi-core processing capabilities of the GPU. Benefits include:

  • Hands-on exercises and progressive lectures
  • Individual laptops equipped with NVIDIA GPUs for student use
  • Small class sizes to maximize learning
  • 90 days post training support – NEW!

February 25-28, 2014, Baltimore, MD, USA, details and registration.

Acceleware offers upcoming CUDA and C++ AMP training events

September 2nd, 2013

Acceleware, partnering with NVIDIA, if offering a four-day CUDA training course designed for programmers in the oil and gas industry who are looking to develop comprehensive skills in writing and optimizing applications that fully leverage the many-core processing capabilities of the GPU. Commonly used algorithms in oil and gas such as filtering and FFTs will be used and profiled in the examples. The case study on day 4 will focus on efficient implementation of 3D convolution, which is highly applicable to reverse time migration. A background in oil and gas is not necessary. Register here.

Acceleware training program manager Kelly Goss is hosting a 4 day C++ AMP training course in Boston, MA September 10 -13. The course will cover an overview of GPU computing, C++ 11 Lambda syntax, data-parallel architectures and the C++ AMP programming model. Every day consists of lectures and hands-on exercises (laptops for student’s use provided for the duration of the course).  Click here for full details and registration.

Acceleware 4 Day CUDA Course – San Jose

May 5th, 2013

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

Parallel Computing Training Dates from AccelerEyes

January 29th, 2013

AccelerEyes has released dates for their upcoming CUDA and OpenCL training courses.

CUDA

OpenCL

More information can be found on the courses’ webpages.

Acceleware OpenCL, CUDA and AMP training

August 9th, 2012

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

Virtual School of Computational Science and Engineering

July 20th, 2012

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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Acceleware CUDA™ Training – Life Science Focus

May 2nd, 2012

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

Acceleware 4 Day CUDA™ Course, Calgary

April 17th, 2012

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