4 ms·

LMAX Disruptor has on their wiki that average latency to send a message from one thread to another at 53 nanoseconds. For comparison a mutex is like 25 nanoseco

LMAX Disruptor has on their wiki that average latency to send a message from one thread to another at 53 nanoseconds. For comparison a mutex is like 25 nanoseconds and more if Contended but a mutex is point to point synchronization. The great thing about the disruptor it is that multiple threads can receive the same message without much more effort. https://github.com/LMAX-Exchange/disruptor/wiki/Performance-Results https://github.com/LMAX-Exchange/disruptor/wiki/Performance-... https://gist.github.com/rmacy/2879257 https://gist.github.com/rmacy/2879257 I am dreaming of language that is similar to Smalltalk that stays single threaded until it makes sense to parallise. I am looking for problems for parallelism that are not big data. Parallelism is like adding more cars to the road rather than increasing the speed of the car. But what does a desktop or mobile user need to do locally that could take advantage of the mathematical power of a computer? I'm still searching. I am thoughtful of the Itanium and VLIW architecture for parallelism ideas.

Affric 3y ago
> I am looking for problems for parallelism that are not big data. Parallelism is like adding more cars to the road rather than increasing the speed of the car. But what does a desktop or mobile user need to do locally that could take advantage of the mathematical power of a computer? I'm still searching. The things we currently let servers do but it would mean we can keep user data local and not hand it over to service providers. I believe that is a worthy end goal.
tmountain 3y ago
It sounds like you are thinking about concurrency more than parallelism. The answer to your question is very general at a high level. Any task that can be broken up into chunks benefits. In the simplest terms, tasks that can be computed in buckets with a final result computed from those buckets will benefit from concurrency. Think of a video game as a good example. Environment calculations are happening in the background while the main game loop is processing. There are almost infinite use cases and examples, so I won’t try to enumerate them all.
sitkack 3y ago
Pervasive parallelism could make massive efficiency gains in computation possible. If we could move many work loads to hundreds or thousands of threads we could run it much lower clock frequencies and thus lower power. It could also enable the use of cheap, small in order cores, further boosting core counts. Multithreading doesn’t always have to be around increasing speed, it can also reduce power

Affric 3y ago

> I am looking for problems for parallelism that are not big data. Parallelism is like adding more cars to the road rather than increasing the speed of the car. But what does a desktop or mobile user need to do locally that could take advantage of the mathematical power of a computer? I'm still searching. The things we currently let servers do but it would mean we can keep user data local and not hand it over to service providers. I believe that is a worthy end goal.

tmountain 3y ago

It sounds like you are thinking about concurrency more than parallelism. The answer to your question is very general at a high level. Any task that can be broken up into chunks benefits. In the simplest terms, tasks that can be computed in buckets with a final result computed from those buckets will benefit from concurrency. Think of a video game as a good example. Environment calculations are happening in the background while the main game loop is processing. There are almost infinite use cases and examples, so I won’t try to enumerate them all.

sitkack 3y ago

Pervasive parallelism could make massive efficiency gains in computation possible. If we could move many work loads to hundreds or thousands of threads we could run it much lower clock frequencies and thus lower power. It could also enable the use of cheap, small in order cores, further boosting core counts. Multithreading doesn’t always have to be around increasing speed, it can also reduce power