AI Engineer - Learn how to integrate AI into software applications
AI, Data Science & Cloud Certificates from Google, IBM & Meta
Overview
Google, IBM & Meta Certificates – 40% Off
One plan covers every Professional Certificate on Coursera.
Unlock All Certificates
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