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|    soc.culture.quebec    |    More than just pale imitations of France    |    108,435 messages    |
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|    Message 106,613 of 108,435    |
|    Wisdom90 to All    |
|    Lock Versus Lock-Free    |
|    10 Dec 19 17:47:26    |
      From: d@d.d              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       (Compare-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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