Shadowing Practice: Mind-bending new programming language for GPUs just dropped... - Learn English Speaking with Video
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Yesterday, the clouds opened up, and a weird new programming language came down to Earth, with a promise of parallelism for all thou who writeth code.
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This is big if true, because parallel computing is a superpower.
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It allows a programmer to take a problem that could be solved in a week, and instead solve it in seven days using seven different computers.
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Unfortunately, running code in parallel is like conducting a symphony.
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One wrong note, and the entire thing becomes a total disaster.
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But luckily, Bend offers hope by making a bold promise.
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Everything that can run in parallel, will run in parallel.
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You don't need to know anything about CUDA, blocks, locks, mutexes, or regexes to write algorithms that take advantage of all 24 of your CPU cores,
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or even all 16 ,000 of your GPU cores.
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You just write some high -level
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Python -looking code, and the rest is magic.
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It is May 17th, 2024, and you're watching the Code Report.
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When you write code in a language like
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Python, your code runs on a single thread.
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That means only one thing can happen at a time.
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It's like going to a KFC with only one employee who takes the order, cleans the toilets, and cooks the food in that order.
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Now, on a modern CPU, you might have a clock cycle around 4 gigahertz, and if it's handling one instruction per cycle,
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you're only able to perform 4 billion instructions per second.
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Now, if 4 Gips is not enough, you can modify your Python code to take advantage of multiple threads,
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but it adds a lot of complexity to your code.
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And there's all kinds of gotchas, like race conditions, deadlocks, thread starvation, and may even lead to conflicts with demons.
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Even if you do manage to get it working, you might find that your CPU just doesn't have enough juice at
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which point you look into using the thousands of CUDA cores on your GPU.
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But now you'll need to write some C++ code and likely blow your leg off in the process.
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Well, what if there is a language that just knew how to run things in parallel by default?
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That's the promise of Bend.
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Imagine we have a computation that adds two completely random numbers together.
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In Python, the interpreter is going to convert this into bytecode, and then eventually run it on the Python virtual machine.
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Pretty simple, but in Bend, things are a little more complex.
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The elements of the computation are structured into a graph, which are called interaction combinators.
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You can think of it as a big network of all the computations that need to be done.
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When two nodes run into each other, the computation progresses by following a simple set of rules
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that rewrite the computation in a way that can be done in parallel.
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It continues this pattern until all computations are done, then merges the result back into whatever expression was returned from the function.
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This concept of interaction combinators goes all the way back to the 1990s, and is implemented in a runtime called the higher -order virtual machine.
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HVM is not meant to be used directly, and that's why they built
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Bend, a high -level language, to interface with it.
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And the language itself is implemented in Rust.
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Its syntax is very similar to Python, and we can write a hello world by defining a main function that returns a string.
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Now to execute this code, we can pull up the terminal and use the ben run command.
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By default, this is going to use the Rust interpreter, which will execute it sequentially, just like any other boring language.
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But now here's where things get interesting.
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Imagine we have an algorithm that needs to count a bunch of numbers and then add them together.
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The first thing that might blow your mind is that bend does not have loops.
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Like, we can't just do a for loop like we would in Python.
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Instead, bend has something entirely different called a fold that works like a search and replace for data types.
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And any algorithm that requires a loop can be replaced with a fold.
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Basically, a fold allows you to consume recursive data types in parallel, like a list or a tree.
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But first, we need to construct a recursive data type.
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And for that, we have the bend keyword, which is like the opposite of fold.
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Now, if that's a little too mind -bending, maybe check out my back catalog for recursion in 100 seconds.
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But now let's see what this looks like from a performance standpoint.
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When I try to run this algorithm on a single thread, it takes forever, like 10 minutes or more.
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However, I can run the same code without any modification whatsoever with the bend run C command.
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When I do that, it's now utilizing all 24 threads on my CPU.
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And now it only takes about 30 seconds to run the computation.
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That's a huge improvement, but I think we can still do better.
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Because I'm a baller, I have an NVIDIA RTX 4090, and once again, I can run this code without any modification on CUDA with bendrun -cu.
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And now this code only takes one and a half seconds to run, and I'll just go ahead and drop the mic right there.
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This has been the Code Report, thanks for watching, and I will see you in the next one.
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Woordenschat en spreektips bij deze les
Deze spreekles is gebaseerd op de video “Mind-bending new programming language for GPUs just dropped..”. Deze woorden komen het vaakst terug: code, bend, computation, Python, parallel. Deze video bevat 60 zinnen en 904 woorden om na te spreken. Het gesproken deel duurt 4:00. De spreker praat snel, ongeveer 226 woorden per minuut, dus reken op verbonden en ingeslikte klanken. Slechts 77% van de woorden hoort bij de 3.000 meest gebruikte Engelse woorden, dus de woordenschat is pittig.
Belangrijke woorden in deze video
15 woorden uit de video die het leren waard zijn, met uitspraak en betekenis:
| Woord | Uitspraak | Betekenis |
|---|---|---|
| bend werkwoord | /bɛnd/ | buigen, plooien |
| parallel bijvoeglijk naamwoord | /ˈpæ.ɹəˌlɛl/ | evenwijdig, parallel |
| thread zelfstandig naamwoord | /ˈθɹɛd/ | draad, garen |
| fold werkwoord | /ˈfəʊld/ | vouwen |
| algorithm zelfstandig naamwoord | /ˈælɡəɹɪðm̩/ | algoritme |
| loop zelfstandig naamwoord | /luːp/ | lus, strop |
| solve werkwoord | /sɒlv/ | oplossen |
| virtual bijvoeglijk naamwoord | /ˈvɜɹt͡ʃuəl/ | virtueel |
| default zelfstandig naamwoord | /dɪˈfɔlt/ | niet-nakoming |
| interaction zelfstandig naamwoord | /ˌɪn.təˈɹæk.ʃən/ | wisselwerking, interactie |
| implement werkwoord | /ˈɪmpləmənt/ | implementeren, (in de praktijk) toepassen |
| instruction zelfstandig naamwoord | /ɪnˈstɹʌkʃən/ | onderwijs |
| execute werkwoord | /ˈɛksɪˌkjuːt/ | executeren |
| cloud zelfstandig naamwoord | /ˈklaʊ̯d/ | wolk |
| element zelfstandig naamwoord | /ˈɛləmənt/ | element |
Phrasal verbs die je zult horen
| Woord | Betekenis |
|---|---|
| check out werkwoord | onderzoeken |
Grammatica in deze video
De structuren die de spreker het meest gebruikt, met de exacte woorden uit de video:
| Structuur | In de video |
|---|---|
| Lijdende vorm be + voltooid deelwoord — het gaat om wat er gebeurt, niet om wie het doet | could be solved · are structured · be done |
| Betrekkelijke bijzinnen who / which + zin — extra informatie over een persoon of ding | graph, which are · interpreter, which will · keyword, which is |
Uitspraak om op te letten
De spreker gebruikt 8 samentrekkingen en verkorte vormen, zoals you're, can't, doesn't. Spreek ze kort uit, zoals je ze hoort.
- De “th”-klanken: thread /ˈθɹɛd/, algorithm /ˈælɡəɹɪðm̩/
- De klanken “sh” en “zh”: interaction /ˌɪn.təˈɹæk.ʃən/, instruction /ɪnˈstɹʌkʃən/, modification /ˌmɑdɪfɪˈkeɪʃən/, starvation /stɑɹˈveɪʃən/, computation /ˌkɑmpjʊˈteɪʃn̩/
- Lange woorden — let op de klemtoon: interaction /ˌɪn.təˈɹæk.ʃən/, modification /ˌmɑdɪfɪˈkeɪʃən/, interpreter /ɪnˈtɝ.pɹɪ.tɚ/, complexity /kəmˈplɛk.sɪ.ti/, whatsoever /ˌ(h)wʌtsoʊˈɛvɚ/
Klanken die Nederlandstaligen lastig vinden:
- Stemhebbende eindmedeklinker — /b/, /d/, /g/, /z/, /v/ niet verscherpen: bend /bɛnd/, thread /ˈθɹɛd/, fold /ˈfəʊld/, solve /sɒlv/, cloud /ˈklaʊ̯d/
- /æ/ — opener dan de Nederlandse “e”: parallel /ˈpæ.ɹəˌlɛl/, algorithm /ˈælɡəɹɪðm̩/, interaction /ˌɪn.təˈɹæk.ʃən/, graph /ɡɹæf/, catalogue /ˈkæt.əˌlɔɡ/
- /g/ — een harde plofklank, geen Nederlandse “g”: algorithm /ˈælɡəɹɪðm̩/, graph /ɡɹæf/, catalogue /ˈkæt.əˌlɔɡ/, programmer /ˈpɹoʊɡɹæmɚ/, gotcha /ˈɡɑ.tʃə/
Zo oefen je met deze video
- Luister de hele video één keer zonder te spreken en noteer de woorden die je niet kent.
- Begin op 0,75× snelheid, spreek zin voor zin na en ga terug naar normale snelheid zodra het makkelijk gaat.
- Neem jezelf op en vergelijk met het origineel; let daarbij op woorden als bend, parallel, thread.
Wat is de Shadowing-techniek?
Shadowing is een wetenschappelijk onderbouwde taalleermethode die oorspronkelijk is ontwikkeld voor professionele tolkentraining en gepopulariseerd door polyglot Dr. Alexander Arguelles. De methode is eenvoudig maar krachtig: je luistert naar native Engelse audio en herhaalt het onmiddellijk hardop — als een schaduw die de spreker volgt met slechts 1–2 seconden vertraging. In tegenstelling tot passief luisteren of grammaticadrills, dwingt shadowing je hersenen en mondspieren om echte spraakpatronen tegelijkertijd te verwerken en te reproduceren. Onderzoek toont aan dat het de uitspraaknauwkeurigheid, intonatie, ritme, verbonden spraak, luisterbegrip en spreekvaardigheid aanzienlijk verbetert — waardoor het een van de meest effectieve methoden is voor IELTS Speaking-voorbereiding en echte Engelse communicatie.