
This course covers concepts and approaches related to programming GPU processors using both CUDA and OpenCL. Extensive coverage of GPU hardware, memories, data transport and performance optimization enable the student to understand the fundamental aspects of GPU programming. In-depth hands-on laboratories demonstrate how to apply common numerical methods to GPU processors using both the native APIs and open source numerical libraries. This course also covers methods of integrating the Intel TBB threading abstraction layer with GPU software APIs.
Length: 4 Days Cost: $3495
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Software architects, software developers, software team leaders and managers seeking to develop GPU software. Knowledge of computer architectures, intermediate C++ programming and software development experience are mandatory pre-requisites for this course.
