Webinar: Accelerating Full Waveform Inversion via OpenCL on AMD GPUs

When: March 5, 2014 at 11:00am (PST)

Webinar: Accelerating Full Waveform Inversion via OpenCL™ on AMD GPUs

Join Chris Mason, Acceleware Product Manager, as he presents a case study of accelerating a seismic algorithm on a cluster of AMD GPU compute nodes, for geophysical software provider and processor GeoTomo. The presentation will begin with an outline of the full waveform inversion (FWI) algorithm, followed by an introduction to OpenCL. The OpenCL programming model and memory spaces will be introduced. After a short programming example, Chris takes you step-by-step through the project phases of profiling, feasibility analysis and implementation. Chris shares the strategy for formulating the problem to take advantage of the massively parallel GPU architecture. Key optimizations techniques are discussed including coalescing and an iterative approach to handle the slices. Performance results for the GPU are compared to the CPU run times.

Acceleware training instructor Chris Mason

Chris Mason – Product Manager

Chris is our resident Trivia Guru and Product Manager for Acceleware’s accelerated electromagnetic product line. He is responsible for the development and launch of Acceleware products used by companies world-wide. Chris has 8 years of experience in developing commercial applications for the GPU and multi-core CPUs. His previous experience also includes parallelization of algorithms on digital signal processors (DSPs) for cellular phones and base stations. His specialty is in electromagnetic simulations, medical imaging, signal processing and linear algebra. Chris has a Masters in Electrical Engineering from Stanford University.

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