GPU computing made easy with G²CPU - Natan Biesmans(QPLOX Engineering) - GDevCon#4

G²CPU is designed as a wrapper around the popular opensource Arrayfire library for general GPU computing.
Through G²CPU you will be able to perform high performance computational tasks on any type of computing hardware. During runtime you will be able to choose between your CPU, CUDA device or even any OPENCL compatible compute unit. All while programming in the same way as you are used to with LabVIEW through probes, wires representing the data and much more.
G²CPU will be a crucial library for any team that need high performance computing, no matter the hardware.

I’m a LabVIEW architect with a decade of LabVIEW, computing and mechatronics experience. During which I worked with small and large teams on a wide range of projects. At the same time trying to provide presentations to share knowledge at LUGs and conventions.
Throughout the years I build up experience with external programs, tools and techniques which I try to bring to LabVIEW. This has brought me to many different projects. Ranging from FPGA accelerated computing, to running LabVIEW natively on Android and IOS, to now using ArrayFire within LabVIEW to provide a LabVIEW native high-performance computing experience.

Product page: www.g2cpu.com/
www.qplox.com/
www.gdevcon.com/

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