Concurrent programming requires synchronization. We can’t have more than one thread accessing data at the same time; otherwise, we end up with a data race.
To support a low-latency trading system I needed a logging call that had minimal impact on the calling thread. It was imperative to be responsive
Asking questions about performance online universally invites scorn and accusation. A large number of programmers apparently feel that the efficiency of code is nowadays insignificant.
Multithreaded programming in a perfect environment can be frustrating. It becomes infuriating when dealing with a plethora of libraries each with their own notion of
New languages try to improve the lives of programmers by simplifying some aspect of programming. Many make bold claims about eliminating certain types of errors,
We all know that operations in a computer happen one after the other. Having multiple CPUs and instruction reordering tends to obfuscate the issue. Technically
Multi-threaded programming calls for semaphores, synchronized blocks, mutexes, or whatever your language happens to call them. Most of us basically understand why we need them:
As high level languages become more abstract, and offer more convenience features, it is easy to lose track of what the computer is actually doing.
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