A quick search found this https://yizhang82.dev/lock-free-rw-lock which 
describes the algo pretty well. 

> On Jan 30, 2023, at 3:00 PM, Robert Engels <reng...@ix.netcom.com> wrote:
> 
> Pure readers do not need any mutex on the fast path. It is an atomic CAS - 
> which is faster than a mutex as it allows concurrent readers. On the slow 
> path - fairness with a waiting or active writer - it degenerates in 
> performance to a simple mutex. 
> 
> The issue with a mutex is that you need to acquire it whether reading or 
> writing - this is slow…. (at least compared to an atomic cas)
> 
>>> On Jan 30, 2023, at 2:24 PM, Ian Lance Taylor <i...@golang.org> wrote:
>>> 
>>> On Mon, Jan 30, 2023 at 11:26 AM Robert Engels <reng...@ix.netcom.com> 
>>> wrote:
>>> 
>>> I don’t think that is true. A RW lock is always better when the reader 
>>> activity is far greater than the writer - simply because in a good 
>>> implementation the read lock can be acquired without blocking/scheduling 
>>> activity.
>> 
>> The best read lock implementation is not going to be better than the
>> best plain mutex implementation.  And with current technology any
>> implementation is going to require atomic memory operations which
>> require coordinating cache lines between CPUs.  If your reader
>> activity is so large that you get significant contention on a plain
>> mutex (recalling that we are assuming the case where the operations
>> under the read lock are quick) then you are also going to get
>> significant contention on a read lock.  The effect is that the read
>> lock isn't going to be faster anyhow in practice, and your program
>> should probably be using a different approach.
>> 
>> Ian
>> 
>>>>> On Jan 30, 2023, at 12:49 PM, Ian Lance Taylor <i...@golang.org> wrote:
>>>> 
>>>> On Sun, Jan 29, 2023 at 6:34 PM Diego Augusto Molina
>>>> <diegoaugustomol...@gmail.com> wrote:
>>>>> 
>>>>> From times to times I write a scraper or some other tool that would 
>>>>> authenticate to a service and then use the auth result to do stuff 
>>>>> concurrently. But when auth expires, I need to synchronize all my 
>>>>> goroutines and have a single one do the re-auth process, check the 
>>>>> status, etc. and then arrange for all goroutines to go back to work using 
>>>>> the new auth result.
>>>>> 
>>>>> To generalize the problem: multiple goroutines read a cached value that 
>>>>> expires at some point. When it does, they all should block and some I/O 
>>>>> operation has to be performed by a single goroutine to renew the cached 
>>>>> value, then unblock all other goroutines and have them use the new value.
>>>>> 
>>>>> I solved this in the past in a number of ways: having a single goroutine 
>>>>> that handles the cache by asking it for the value through a channel, 
>>>>> using sync.Cond (which btw every time I decide to use I need to carefully 
>>>>> re-read its docs and do lots of tests because I never get it right at 
>>>>> first). But what I came to do lately is to implement an upgradable lock 
>>>>> and have every goroutine do:
>>>> 
>>>> 
>>>> We have historically rejected this kind of adjustable lock.  There is
>>>> some previous discussion at https://go.dev/issue/4026,
>>>> https://go.dev/issue/23513, https://go.dev/issue/38891,
>>>> https://go.dev/issue/44049.
>>>> 
>>>> For a cache where checking that the cached value is valid (not stale)
>>>> and fetching the cached value is quick, then in general you will be
>>>> better off using a plain Mutex rather than RWMutex.  RWMutex is more
>>>> complicated and therefore slower.  It's only useful to use an RWMutex
>>>> when the read case is both contested and relatively slow.  If the read
>>>> case is fast then the simpler Mutex will tend to be faster.  And then
>>>> you don't have to worry about upgrading the lock.
>>>> 
>>>> Ian
>>>> 
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>> 
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