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Search - "distributed parallel"
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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 -
'Sup mates.
First rant...
So Here's a story of how I severely messed up my mental health trying to fit in university.
But the bonus: Found my passion.
Her we go,
Went to university thinking it'll be awesome to learn new stuff.
1st sem was pure shock - Programming was taught at the speed of V2 rockets.
Everything was centred around marks.
Wanted to get a good run in 2nd sem, started to learn Vector design, but RIP- Hospitalized for Staph infection, missed the whole sem and was in recovery for 3 months.
So asked uni for financial assistance as I had to re-register the courses the next semester. They flat out refused, not even in this serious of a case.
So, time to register courses for third semester, turns out most of the 2nd year courses are full, I had to take 3rd year courses like:
Social and Informational Networks
Human Computer Interaction
Image processing
And
Parallel and Distributed Computing (They had no prerequisites listed, for the cucks they are: BIG MISTAKE)
Turns out the first day of classes that I attend, the Image proc. teacher tells me that it's gonna be difficult for 2nd years so I drop it, as the PDC prof. also seconds that advice.
Time travel 2 months in: The PDC prof is a bitch, doesn't upload any notes at all and teaches like she's on Velocity-9 while treating this subject like a competition on who learns the most rather than helping everyone understand.
Doesn't let students talk to each other in lab even if one wants to clear their friend's doubt, "Do it on your own!" What the actual fuck?
Time for term end exams and project submission: Me and 3 seniors implement a Distributed File System in python and show it to her, she looks satisfied.
Project Results: Everyone else got 95/100
I got 76.
She's so prejudiced that she thinks that 2nd years must have been freeloaders while I put my ass on turbo for the whole sem, learning to code while tackling advanced concepts to the point that I hated to code.
I passed the course with a D grade.
People with zero consideration for others get absolutely zero respect from me.
Well it's safe to say that I went Nuclear(heh.. pun..) at this point, Mentally I was in such a bad place that I broke down.... Went into depression but didn't realise it.
But,
I met a senior in my HCI class that I did a project with, after which I discovered we had lots of similar interests.
We became good friends and started collaborating on design projects and video game prototyping.
Enter the 4th sem and holy mother of God did I got some bad bad profs....
Then it hit me
I have been here for two years, put myself through the meat grinder and tore my soul into shreds.
This Is Not Me
This Wont Be The End Of Me
I called up my sister in London and just vented all my emotions in front of her.
Relief.
Been a long time since I felt that.
I decided to go for what I truly feel passionate about: Game Design
So I am now trying to apply for Universities which have specialised courses for game design.
I've got my groove again, learnt to live again.
Learning C# now.
:)
It's been a long hello, and If you've reached till here somehow, then damn, you the MVP.
Peace.9 -
Spends 9 months on the side developing a library for analysis of a specific programming language. No help, entirely my own work. There's various tools built upon this library. Incorporates project management, an effective build system capable of parallel and distributed builds, a packaging system...
Beta release the library. Wait four months. Ask the community for who's been using it so I can get feedback and other comments. Majority of the comments follow a specific pattern.
"You don't support X, how dare you!?"
One, this is free software, pay me if you want specific things.
Two, I'm the only developer of a project usually undertaken by a small team.
Three, yes it does you fucking invalid... Every fucking time someone claims it doesn't support some feature, it's something I've already written and validated. I swear to fucking God users can't find something themselves and instead of checking the Wiki or asking for help, they blindly assume they can't make mistakes and it must be my defect.1 -
- Finish "Introduction to algorithms"
- Learn some genetic algorithms
- Get my hands dirty on reinforcement learning
- Learn more about data streaming application (My currently app is still using plain stupid REST to transport image). I don't know, maybe Kafka and RabbitMQ.
- Learn to implement some distributed system prototypes to get fitter at this topic. There must be more than REST for communicating between components.
- Implementing a searching module for my app with elastic search.
- Employ redis at sometime for background tasks.
- Get my handy dirty on some operating system concepts (Interprocess Communication, I am looking at you)
- Take a look at Assembly (I dont want to do much with Assembly, maybe just want to implement one or two programs to know how things work)
- Learn a bit of parallel computing with CUDA to know what the hell Tensorflow is doing with my graphic card.
- Maybe finishing my first research paper
- Pass my electrical engineering exam (I suck at EE)1 -
Been doing parallel programming and I’ll be taking a distributed systems course next semester. I’ve also been dabbling with Rasp Pis and have been enjoying working in linux/CLI and I’m considering getting building a cluster.
What are some use cases where I could put into practice distributed systems/parallel programming with cluster setups? No limits here :)2