Is Parallel Programming still hard? PART 2 of 2
Play Is Parallel Programming still hard? PART 2 of 2
Most embedded devices are multicore, and we see concurrency becoming ubiquitous for machine learning, machine vision, and self-driving cars. Thus the age of concurrency is upon us, so whether you like it or not, concurrency is now just part of the job. It is therefore time to stop being concurrency cowards and start on the path towards producing high-quality high-performance highly scalable concurrent software artifacts. After all, there was a time when sequential programming was considered mind-crushingly hard: In fact, in the late 1970s, Paul attended a talk where none other than Edsger Dijkstra argued, and not without reason, that programmers could not be trusted to correctly code simple sequential loops. However, these long-past perilous programming pitfalls are now easily avoided with improved programming models, heuristics, and tools. We firmly believe that concurrent and parallel programming will make this same transition. This talk will help you do just that. Besides, after more than a decade since the end of the hardware "free lunch", why should parallel programming still be hard?