This webinar takes an example of the WNDCHRM image classification application, and the image processing advantage that an NVIDIA GPU brings to the table. We achieved a 20X performance improvement using CUDA.

Image Processing Technology has significantly improved the ability to interpret and analyze medical imaging content like X-Ray Scan, CT Scans, ECG Output, Endoscopy and Ultrasound. Medical professionals can now make life-saving decisions with real-time diagnosis that is aided by image processing technology. While the example is specific to WNDCHRM, the basis of performance improvement remains CUDA parallel programming – that applies to other medical image processing requirements as well.

The webinar is ideal for engineering professionals from the medical devices and healthcare industry. The webinar (45 Minutes) will be followed by a Q&A Session (15 Minutes) with our NVIDIA CUDA experts.

Webinar Date: April 7, 2015 9:00 am PST

Imaging Algorithms Accelerated by 20X with NVIDIA Tesla K40

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Presenter:

Lalit Chandivade, Senior CUDA Expert, EInfochips

Presenter Bio:

Lalit Chandivade is a senior CUDA expert at eInfochips, and leads a team of CUDA consultants for client projects. on NVIDIA GPUs. His focus area is image processing for medical applications. Lalit has delivered multiple client projects on Linux based product designs.

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