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More about Lock-free algorithms..

From Wisdom91 <d1@d1.d1>
Newsgroups comp.lang.pascal.misc
Subject More about Lock-free algorithms..
Date 2020-07-16 12:59 -0400
Organization A noiseless patient Spider
Message-ID <req10r$r0c$11@dont-email.me> (permalink)

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Hello,

Read this:


More about Lock-free algorithms..

I am a white arab, and i think i am smart, and now i will speak again 
about Lock-free algorithms..

Here are the advantages of Lock-free algorithms:

Thread-killing Immunity: Any thread forcefully killed in the system 
won't delay other threads.
Signal Immunity: The C and C++Standards prohibit signals or asynchronous 
interrupts from calling many system routines such as malloc. If the 
interrupt calls malloc at the same time with an interrupted thread, that 
could cause deadlock. With lock-free routines, there's no such problem 
anymore: Threads can freely interleave execution.
Priority Inversion Immunity: Priority inversion occurs when a 
low-priority thread holds a lock to a mutex needed by a high-priority 
thread. Such tricky conflicts must be resolved by the OS kernel. 
Wait-free and lock-free algorithms are immune to such problems.
Lock-free algorithms are good at convoy-avoidance.

But i have just thoughts more and i think that the most important things
to have is a bounded Lock-free LIFO stack and a bounded Lock-free FIFO 
queue, since also i think that one of the most important is 
convoy-avoidance, since also i think the fine-grained lock-based 
Hashtables and Skiplists are still good at convoy-avoidance.

For the rest about Lock-free versus Lock , read my following post:

https://groups.google.com/forum/#!topic/comp.programming.threads/F_cF4ft1Qic


More about my new invention of a lock-free bounded LIFO stack algorithm..

I have just invented a lock-free bounded LIFO stack algorithm and i have 
just made it work correctly in only one day, so i think version 1.04 is 
stable now. I think that my new lock-free bounded LIFO stack algorithm 
is really useful because it is not complicated , so it is easy to reason 
about and it doesn't need ABA prevention and it doesn't need Hazard 
pointers and it doesn't have false sharing, please look at its source 
code inside LockfreeStackBounded.pas inside the zipfile, in my next 
posts i will give you all the explanation of my new algorithm.

Lockfree bounded LIFO stack and FIFO queue were updated to version 1.04

You can read about them and download them from my website here:

https://sites.google.com/site/scalable68/lockfree-bounded-lifo-stack-and-fifo-queue


And I have just read the following IBM Research Report about Locks and 
convoying:

The convoy phenomenon

https://blog.acolyer.org/2019/07/01/the-convoy-phenomenon/

And i think that it is not so smart, because i am a white arab that is 
smart like a genius , and i have invented a the Holy Grail of Locks that 
is more powerful than the above, it is a scalable Fast Mutex
that is faster than the scalable MCS Lock, read about it in my
following thoughts:

I have invented a scalable algorithm that is a scalable fast Mutex that 
is remarkable and that is the Holy Grail of scalable Locks, it has the 
following characteristics, read my following thoughts to understand:

About fair and unfair locking..

I have just read the following lead engineer at Amazon:

Highly contended and fair locking in Java

https://brooker.co.za/blog/2012/09/10/locking.html

So as you are noticing that you can use unfair locking that can have 
starvation or fair locking that is slower than unfair locking.

I think that Microsoft synchronization objects like the Windows critical 
section uses unfair locking, but they still can have starvation.

But i think that this not the good way to do, because i am an inventor 
and i have invented a scalable Fast Mutex that is much more powerful , 
because with my scalable Fast Mutex you are capable to tune the 
"fairness" of the lock, and my Fast Mutex is capable of more than that, 
read about it on my following thoughts:

More about research and software development..

I have just looked at the following new video:

Why is coding so hard...

https://www.youtube.com/watch?v=TAAXwrgd1U8

I am understanding this video, but i have to explain my work:

I am not like this techlead in the video above, because i am also an 
"inventor" that has invented many scalable algorithms and there 
implementions, i am also inventing effective abstractions, i give you an 
example:

Read the following of the senior research scientist that is called Dave 
Dice:

Preemption tolerant MCS locks

https://blogs.oracle.com/dave/preemption-tolerant-mcs-locks

As you are noticing he is trying to invent a new lock that is preemption 
tolerant, but his lock lacks some important characteristics, this is why 
i have just invented a new Fast Mutex that is adaptative and that is 
much much better and i think mine is the "best", and i think you will 
not find it anywhere, my new scalable Fast Mutex has the following 
characteristics:

1- Starvation-free
2- Tunable fairness
3- It keeps efficiently and very low its cache coherence traffic
4- Very good fast path performance
5- And it has a good preemption tolerance.
6- It is faster than scalable MCS lock
7- Not prone to convoying.

And about composability of lock-based systems now:

Design your systems to be composable. Among the more galling claims of 
the detractors of lock-based systems is the notion that they are somehow 
uncomposable:

“Locks and condition variables do not support modular programming,” 
reads one typically brazen claim, “building large programs by gluing 
together smaller programs[:] locks make this impossible.”9 The claim, of 
course, is incorrect. For evidence one need only point at the 
composition of lock-based systems such as databases and operating 
systems into larger systems that remain entirely unaware of lower-level 
locking.

There are two ways to make lock-based systems completely composable, and 
each has its own place. First (and most obviously), one can make locking 
entirely internal to the subsystem. For example, in concurrent operating 
systems, control never returns to user level with in-kernel locks held; 
the locks used to implement the system itself are entirely behind the 
system call interface that constitutes the interface to the system. More 
generally, this model can work whenever a crisp interface exists between 
software components: as long as control flow is never returned to the 
caller with locks held, the subsystem will remain composable.

Second (and perhaps counterintuitively), one can achieve concurrency and
composability by having no locks whatsoever. In this case, there must be
no global subsystem state—subsystem state must be captured in 
per-instance state, and it must be up to consumers of the subsystem to 
assure that they do not access their instance in parallel. By leaving 
locking up to the client of the subsystem, the subsystem itself can be 
used concurrently by different subsystems and in different contexts. A 
concrete example of this is the AVL tree implementation used extensively 
in the Solaris kernel. As with any balanced binary tree, the 
implementation is sufficiently complex to merit componentization, but by 
not having any global state, the implementation may be used concurrently 
by disjoint subsystems—the only constraint is that manipulation of a 
single AVL tree instance must be serialized.

Read more here:

https://queue.acm.org/detail.cfm?id=1454462

And you have to look here at our DelphiConcurrent and FreepascalConcurrent:

https://sites.google.com/site/scalable68/delphiconcurrent-and-freepascalconcurrent

Thank you,
Amine Moulay Ramdane.

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More about Lock-free algorithms.. Wisdom91 <d1@d1.d1> - 2020-07-16 12:59 -0400

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