Throughout this book, we discussed ways to make our code run faster and more efficiently. Using the suggestions in the previous chapters, your code now fully utilizes the processor without much overhead or wastage. However, if you still need your computation to finish even earlier, the only solution is distributing the computation over multiple cores, processors, and machines. In this chapter, we will briefly discuss some of the facilities available in Julia for distributed computing. A complete exposition of this topic is probably the subject of another large book—this chapter can only provide a few pointers for further information, such as:
Parallelism in Julia
Programming parallel tasks
Shared memory arrays