CppCon 2014

So you want to speed up your computation using multicore parallel execution and you've picked a parallelism framework. What now? Parallelism frameworks give you the tools you need, but they don't actually parallelize the code; that's your job. To take advantage of parallel hardware, you must decompose your computation into tasks that can be computed in parallel. In this session, I'll present a real-world problem (the n-bodies problem) and guide you through several different ways in which it can be decomposed for parallel execution. We'll look at how to achieve scalability, resolve data races, and avoid negative multi-core cache effects. At the end of this session, you should have a conceptual understanding of parallel programming fundamentals that can be applied to a wide range of problems using a variety of frameworks.