Hands-On Design Patterns and Best Practices with Julia

Performance

The Julia language is designed for high-performance computing. It does not come for free, however. When it comes to performance, it takes practice to write code that is more compiler-friendly, thus making it more likely to translate the program into optimized machine code.

For the past few decades, computers have seemed to become faster and faster every year. What used to be performance bottlenecks are more easily solved using today's hardware. At the same time, we are also facing more challenges due to the explosion of data. A good example is the field of big data and data science. As the amount of data grows, we need even more computing power to handle these new use cases.

Unfortunately, the speed of computers has not grown ...