Which is faster Constant Cache or Read-only Cache? – Part Two

November 4th, 2013

One of the keys to achieving maximum performance in CUDA is taking advantage of the various memory spaces. Part II of Acceleware’s tutorial has now been published. The tutorial uses a simple encryption kernel to test and compare read-only cache, constant cache and global memory. Read the full tutorial…

Acceleware Training

July 14th, 2013

Acceleware recently announced a couple of courses:

  • CUDA for Finance: December 10 – 13, 2013, New York, NY [Details]
  • OpenCL: October 22 – 25, 2013, Houston, TX [details]
  • CUDA: September 24-27, [Details]
  • C++ AMP: September 10-13, [Details]

 

C++ AMP Courses

May 26th, 2012

C++ Accelerated Massive Parallelism (C++ AMP) is a new open specification heterogeneous programming model, which builds on the established C++ language. Developed for heterogeneous platforms C++ AMP is designed to accelerate the execution of C++ code by taking advantage of the data-parallel hardware that is commonly present as a GPU. These courses are aimed at programmers who are looking to develop comprehensive skills in writing and optimizing applications using C++ AMP. Read the rest of this entry »

Acceleware OpenCL™ Training in NYC

February 28th, 2012

Developed in partnership with AMD, this four day course is designed for GPU 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’s Developers, who provide real world experience and examples, the training comprises classroom lectures and hands-on tutorials. Each student will be supplied with a laptop equipped with an AMD Fusion APU for the duration of the course. Small class sizes maximize learning and ensure a personal educational experience. Read the rest of this entry »

Acceleware CUDA™ Training in Houston, TX – Oil & Gas Focused

February 21st, 2012

Partnering with NVIDIA and Microsoft, this four-day CUDA training course is designed for GPU 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.

Acceleware CUDA™ Training in Moutain View, CA

February 21st, 2012

Partnering with NVIDIA and Microsoft, this four-day CUDA training course is designed for GPU Programmers who are looking to develop comprehensive skills in writing and optimizing applications that fully leverage the many-core processing capabilities of the GPU.