Different parallel programming techniques
There are several different forms of parallel computing such as bit-level, instruction level, data, and task parallelism. This book will largely focus on data and task parallelism using heterogeneous devices. We just now coined a term, heterogeneous devices. How do we tackle complex tasks "in parallel" using different types of computer architecture? Why do we need OpenCL when there are many (already defined) open standards for Parallel Computing?
To answer this question, let us discuss the pros and cons of different Parallel computing Framework.
OpenMP
OpenMP is an API that supports multi-platform shared memory multiprocessing programming in C, C++, and Fortran. It is prevalent only on a multi-core computer ...
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