YoVDO

Boost.Compute - A Library for GPU - Parallel Computing

Offered By: CppNow via YouTube

Tags

C++Now Courses C++ Courses FPGA Courses Parallel Computing Courses High Performance Computing Courses GPU Computing Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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

Related Courses

Your Favorite Undefined Behavior in C++
CppNow via YouTube Under the Hood - Assembly, System Calls, and Hardware in C++
CppNow via YouTube Carbon Language Successor Strategy - From C++ Interop to Memory Safety
CppNow via YouTube Value Oriented Programming Part 1 - You Say You Want to Write a Function
CppNow via YouTube Introducing a Memory-Safe Successor Language in Large C++ Code Bases
CppNow via YouTube