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Search - "machine learning has no power here"
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Okay, story time.
Back during 2016, I decided to do a little experiment to test the viability of multithreading in a JavaScript server stack, and I'm not talking about the Node.js way of queuing I/O on background threads, or about WebWorkers that box and convert your arguments to JSON and back during a simple call across two JS contexts.
I'm talking about JavaScript code running concurrently on all cores. I'm talking about replacing the god-awful single-threaded event loop of ECMAScript – the biggest bottleneck in software history – with an honest-to-god, lock-free thread-pool scheduler that executes JS code in parallel, on all cores.
I'm talking about concurrent access to shared mutable state – a big, rightfully-hated mess when done badly – in JavaScript.
This rant is about the many mistakes I made at the time, specifically the biggest – but not the first – of which: publishing some preliminary results very early on.
Every time I showed my work to a JavaScript developer, I'd get negative feedback. Like, unjustified hatred and immediate denial, or outright rejection of the entire concept. Some were even adamantly trying to discourage me from this project.
So I posted a sarcastic question to the Software Engineering Stack Exchange, which was originally worded differently to reflect my frustration, but was later edited by mods to be more serious.
You can see the responses for yourself here: https://goo.gl/poHKpK
Most of the serious answers were along the lines of "multithreading is hard". The top voted response started with this statement: "1) Multithreading is extremely hard, and unfortunately the way you've presented this idea so far implies you're severely underestimating how hard it is."
While I'll admit that my presentation was initially lacking, I later made an entire page to explain the synchronisation mechanism in place, and you can read more about it here, if you're interested:
http://nexusjs.com/architecture/
But what really shocked me was that I had never understood the mindset that all the naysayers adopted until I read that response.
Because the bottom-line of that entire response is an argument: an argument against change.
The average JavaScript developer doesn't want a multithreaded server platform for JavaScript because it means a change of the status quo.
And this is exactly why I started this project. I wanted a highly performant JavaScript platform for servers that's more suitable for real-time applications like transcoding, video streaming, and machine learning.
Nexus does not and will not hold your hand. It will not repeat Node's mistakes and give you nice ways to shoot yourself in the foot later, like `process.on('uncaughtException', ...)` for a catch-all global error handling solution.
No, an uncaught exception will be dealt with like any other self-respecting language: by not ignoring the problem and pretending it doesn't exist. If you write bad code, your program will crash, and you can't rectify a bug in your code by ignoring its presence entirely and using duct tape to scrape something together.
Back on the topic of multithreading, though. Multithreading is known to be hard, that's true. But how do you deal with a difficult solution? You simplify it and break it down, not just disregard it completely; because multithreading has its great advantages, too.
Like, how about we talk performance?
How about distributed algorithms that don't waste 40% of their computing power on agent communication and pointless overhead (like the serialisation/deserialisation of messages across the execution boundary for every single call)?
How about vertical scaling without forking the entire address space (and thus multiplying your application's memory consumption by the number of cores you wish to use)?
How about utilising logical CPUs to the fullest extent, and allowing them to execute JavaScript? Something that isn't even possible with the current model implemented by Node?
Some will say that the performance gains aren't worth the risk. That the possibility of race conditions and deadlocks aren't worth it.
That's the point of cooperative multithreading. It is a way to smartly work around these issues.
If you use promises, they will execute in parallel, to the best of the scheduler's abilities, and if you chain them then they will run consecutively as planned according to their dependency graph.
If your code doesn't access global variables or shared closure variables, or your promises only deal with their provided inputs without side-effects, then no contention will *ever* occur.
If you only read and never modify globals, no contention will ever occur.
Are you seeing the same trend I'm seeing?
Good JavaScript programming practices miraculously coincide with the best practices of thread-safety.
When someone says we shouldn't use multithreading because it's hard, do you know what I like to say to that?
"To multithread, you need a pair."18 -
Fellow Deviants, I need your help in understanding the importance of C++
Okay, I need to clarify a few things:
I am not a beginner or a newbie who has just entered this community...
I have been using C++ for some time and in fact, it was the language which introduced me to the world of programming... Before, I switched to Java, since I found it much better for application development...
I already know about the obvious arguments given in favour of C/C++ like how it is a much more faster and memory efficient than other languages...
But, at the same time, C/C++ exposes us and doesn't protect us from ourselves.. I hope that you understand what I mean to say..
And, I guess that it is a fair tradeoff for the kind of power and control that these languages (C/C++) provide us..
And, I also agree with the fact that it is an language that ideally suits our need, if we wish to deal with compilers, graphics, OS, etc, in the future...
But, what I really want to ask here is:
In this age and times, when hardware has advanced so much, where technically, memory efficiency or execution speeds no longer is the topmost priority... These were the reasons for which C/C++ was initially created...
In today's time, human concept of time matters more and hence, syntactical less complicated languages like Java or Python are much more preferred, especially for domains like application development or data sciences...
So, is continuing with C++, an endeavour worth sticking with in the future or is it not required...
I am talking about this issue since I am in a dilemma about the use of C++ in the future...
I would be grateful if we could talk about keeping AI, Machine Learning or Algorithms Optimisation in mind... Since, these are the fields in which I am interested in...
I know that my question could have been posted in a better way.. But, considering the chaos that is present in my mind, regarding this question doesn't allow me to do so...
Any kind of suggestion or thoughts would be welcome and much appreciated...
P.S: I currently use C++ only for competitive programming or challenges...28