OpenMP for Better High-Level Parallelism, Not Just for High Performance Computing

Explore OpenMP for enhanced high-level parallelism in this CppNow 2012 conference talk by Michael Wong. Delve into the shared memory parallel specification for C, C++, and FORTRAN that supports incremental parallelism using a high-level language. Discover how OpenMP extends beyond High Performance Computing and SuperComputing, finding applications in diverse fields such as graphics, embedded systems, communications, finance, medical technology, and data analysis. Learn about OpenMP's organization, history, and recent changes, as well as parallel programming models, data types, and syntax. Gain insights into parallel regions, performance considerations, loop parallelization, and critical regions. Understand the versatility of OpenMP in various industries and its potential for improving shared memory parallelism across multiple general-purpose languages.

Intro
OpenMP
What is OpenMP
Organization
History
Changes
Parallel Programming Models
Data Types
Parallel Regions
Syntax
Parallel
Performance
Conditions
Serial Equivalents
Parallel Loops
Updates
User Barrier
Note Wait
Critical Region
Summary