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

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