Intel’s Shannon Cepeda blogged recently about the performance advantages of one particular way of implementing parallelism. Luckily, she writes, that way is supported by several models available. In this blog, Shannon covers task-based parallelism, whereby algorithms are designed in terms of “tasks” (work to be done) instead of the specifics of threads and CPU cores.
To read the full blog post, click here.
