Chapter 6: Concurrency and Performance
In the last chapter, we learned about the fundamental factors that affect the performance of concurrent programs. Now it is time to put this knowledge to practical use and learn about developing high-performance concurrent algorithms and data structures for thread-safe programs.
On the one hand, to take full advantage of concurrency, one must take a high-level view of the problem and the solution strategy: data organization, work partitioning, sometimes even the definition of what constitutes a solution are the choices that critically affect the performance of the program. On the other hand, as we have seen in the last chapter, the performance is greatly impacted by low-level factors such as the arrangement of the data in the cache, and even the best design can be ruined by poor implementation. These low-level details are often difficult to analyze, hard to express in code, and require very careful coding. This is not the kind of code you...
