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Explore the Boost.Compute library for GPU and parallel computing in this conference talk from CppNow. Gain an overview of the library's high-level, STL-like API and learn how to write and execute high-performance C++ applications on modern GPU hardware. Discover the library's portability across various parallel accelerators, including GPUs, FPGAs, and multi-core CPUs. Enhance your understanding of GPU/parallel computing techniques and their implementation using Boost.Compute through practical demonstrations and insights provided in this 41-minute presentation.
Syllabus
Kyle Lutz: Boost.Compute: A library for GPU/parallel computing
Taught by
CppNow