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|    comp.programming    |    Programming issues that transcend langua    |    57,431 messages    |
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|    Message 55,964 of 57,431    |
|    =?UTF-8?B?0JrRgNC40YHRgtGM0Y/QvSDQo to All    |
|    Re: Lock Versus Lock-Free..    |
|    06 Jun 22 11:20:08    |
      From: ingel1983912@gmail.com              How did You get so smart ?                            *******************************************************       Phone: 372 53900660                            amin...@gmail.com kirjutas Teisipäev, 24. detsember 2019 kl 23:04:40 UTC+2:       > Hello,        >        >        > Lock Versus Lock-Free..        >        >        > The class of problems that can be solved by lock-free approaches is limited.        >        > Furthermore, lock-free approaches can require restructuring a problem.        > As soon as multiple shared data-structures are modified simultaneously,the       only practical approach is to use a lock.        >        > All lock-free dynamic-size data-structures using such CAA (Com       are-and-assign) require some form of garbage collector to lazily delete       storage when it is no longer referenced. In languages with garbage collection,       this capability comes for free (at the        cost of garbage collection). For languages without garbage collection, the       code is complex and error prone in comparison with locks, requiring       epoch-based reclamation, read-copy-update (RCU), or hazard pointers.        >        > While better performance is claimed for lock-free data-structures, there is       no long-term evidence to support this claim. Many high-performance locking       situations, e.g., operating system kernels and databases, continue to use       locking in various forms,        even though there are a broad class of lock-free data-structure readily       available.        >        > While lock-free data-structures cannot have deadlock, there is seldom       deadlock using locks for the simple class of problems solvable using lock-free       approaches. For example, protecting basic data-structure operations with locks       is usually very        straightforward. Normally deadlock occurs when accessing multiple resources       simultaneously, which is not a class of problems        > dealt with by lock-free approaches. Furthermore, disciplined lock usage,       such as ranking locks to avoid deadlock, works well in practice and        > is not onerous for the programmer.Finally, some static analysis tools are       helpful for detecting deadlock scenarios.        >        > Lock-free approaches have thread-kill tolerance, meaning no thread owns a       lock, so any thread can terminate at an arbitrary point without leaving a lock       in the closed state. However, within an application, thread kill is an unusual       operation and thread        failure means an unrecoverable error or major reset.        >        > A lock-free approach always allows progress of other threads, whereas locks       can cause delays if the lock owner is preempted. However,this issue is a       foundational aspect of preemptive concurrency. And there are ways to mitigate       this issue for locks        using scheduler-activation techniques. However, lock-free is not immune to       delays. If a page is evicted containing part of the lock-based or lockfree       data, there is a delay. Hence, lock free is no better than lock based if the       page        > fault occurs on frequently accessed shared data. Given the increasing number       of processors and large amount of memory on modern computers, neither of these       delays should occur often.        >        > Lock-free approaches are reentrant, and hence, can be used in signal       handlers, which are implicitly concurrent. Locking approaches cannot deal with       this issue. Lock-free approaches are claimed not to have priority inversion.       However, inversion can        occur because of the spinning required with atomic instructions, like CAA, as       the hardware does not provide a bound for spinning threads. Hence, a       low-priority thread can barge head of a high-priority thread because the       low-priority thread just happens        to win the race at the CAA instruction. Essentially,        > priority inversion is a foundational aspect of preemptive concurrency and       can only be mitigated.        >        > The conclusion is that for unmanaged programming language (i.e., no garbage       collection), using classical locks is simple, efficient, general, and causes       issues only when the problem scales to multiple locks. For managed       programming-languages, lock-free        data-structures are easier to implement, but only handle a specific set of       problems, and the programmer must accept other idiosyncrasies, like pauses in        > execution for garbage collection.        >        >        >        > Thank you,        > Amine Moulay Ramdane.              --- SoupGate-Win32 v1.05        * Origin: you cannot sedate... all the things you hate (1:229/2)    |
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