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Wednesday, March 2 • 4:50pm - 5:10pm
Algorithms & Accelerators I: GpuWrapper: A Portable API for Heterogeneous Programming at CGG

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WATCH THE PRESENTATION

To increase the portability of our GPU-accelerated applications, we designed an API for heterogeneous programming abstracting CUDA and OpenCL. Applications targeting the GpuWrapper API can thus run on Nvidia GPU and on all devices supporting OpenCL. Moreover, this common API should future-proof our applications against uncertainty in hardware and programming model evolutions.

Speakers
avatar for Victor Arslan

Victor Arslan

High Performance Computing Research Engineer, CGG
High Performance Computing Research Engineer. Graduated a Master in Applied Mathematics in 2009 and specialist in software programming on massively parallel architectures. I work at CGG on technology forecasting for computational accelerators, including the Intel MIC architecture (Many integrated Core).
JB

Jean-Yves Blanc

Chief IT Architect, CGG
avatar for Marc Tchiboukdjian

Marc Tchiboukdjian

IT Architect, CGG



Attendees (2)