YoVDO

Come Stream with Me - Build Performant Simple Parallel Applications in C++ Using RaftLib

Offered By: CppNow via YouTube

Tags

C++Now Courses C++ Courses Parallel Programming Courses Multi-Threading Courses Stream Processing Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the RaftLib C++ template library for building performant parallel applications using stream processing in this conference talk from C++Now 2016. Learn how RaftLib simplifies the creation of multi-threaded streaming applications by utilizing familiar stream operator semantics to link parallel actors. Discover the advantages of the stream processing paradigm and how RaftLib enables a full range of streaming graph optimizations while integrating with legacy C/C++ code. Gain insights into what RaftLib is, its inner workings, usage techniques, and participate in hands-on application building exercises. Access accompanying slides for a comprehensive understanding of this powerful tool for C++ parallel processing.

Syllabus

Come Stream with Me - Jonathan Beard [ C++Now 2016 ]


Taught by

CppNow

Related Courses

Computer Graphics
University of California, San Diego via edX
Intro to Parallel Programming
Nvidia via Udacity
Initiation à la programmation (en C++)
École Polytechnique Fédérale de Lausanne via Coursera
C++ For C Programmers, Part A
University of California, Santa Cruz via Coursera
Introduction à la programmation orientée objet (en C++)
École Polytechnique Fédérale de Lausanne via Coursera