AccelerEyes Webinar Series

AccelerEyes invites you to participate in series of webinars designed to help you learn more about Jacket for MATLAB® and ArrayFire for C/C++/Fortran/Python, a comprehensive library of GPU-accelerated functions.

GPU Programming for Medical Image Segmentation: January 18, 2012 at 3:00 p.m. EST

There’s a huge volume of data generated using acquisition modalities like computer tomography (CT), magnetic resonance imaging (MRI), positron emission tomography or nuclear medicine. A common need is to manipulate and transmit this data using compression techniques in as little time as possible. During this webinar we will show Jacket’s superior speed and handling volumes from subscripting to convolutions.  Come and learn how to accelerate common medical imaging applications using an easy, powerful programming library with Jacket for MATLAB®.

OpenCL and CUDA Trade-Offs and Comparison: February 15, 2012 at 3:00 p.m. EST

The OpenCL standard continues to mature and is now (or soon will be) supported by a variety of GPUs and manycore processors. At AccelerEyes, we remain at the forefront of OpenCL development. ArrayFire OpenCL is a fast software library for GPU computing with a simple API.  In this informative webinar, our team of GPU experts will discuss OpenCL and CUDA trade-offs and comparisons.  In addition, you’ll get to see ArrayFire OpenCL in action with real code.

GPU Programming for Financial Computing:  March 15, 2012 at 3:00 p.m. EST

Quantitative analysts are discovering the benefits of leveraging GPUs in tackling complex financial computing models. Using Jacket’s computational horsepower, analysts can employ a variety of functions to achieve speedups in trade signal generation, complex derivative pricing, evaluating risk scenarios, and more. In this webinar, we’ll discuss the latest developments in GPU programming for financial computing.

Each webinar will be conducted by AccelerEyes’ team of GPU computing experts and will include live demos of Jacket and ArrayFire.   We hope you will join us as we discuss exciting developments in GPU computing software!