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The article makes for an interesting technical read, and points to some very important issues, such as debugging in a multicore environment.

Even so, I encourage anyone reading this article to keep in mind that there is a massive amount of work dedicated to software support for multicore parallelism.

For anyone interested in digging deeper into multicore parallelism, I recommend taking a look at the CMU approach to teaching algorithms [1]. They teach parallel programming to second-year undergraduates by default, and the students even write parallel implementations, which can achieve good parallel speedups on a multicore system.

Moreover, they do it using either a parallel functional language or a parallel library in modern C++.

Importantly, they get this far by largely hiding details of exactly how parallel tasks are scheduled across cores. There's a scheduler that does it, much like there's a garbage collector that frees unused memory in a memory-managed language.

[1] https://www.cs.cmu.edu/~15210/docs/book.pdf



> they do it using either a parallel functional language or a parallel library in modern C++.

IMO this is a weakness not a strength. The approach of Fleury (low level C, no lib), makes his articles a lot more valuable for understanding fundamentals.




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