• 1 Post
  • 104 Comments
Joined 2 years ago
cake
Cake day: June 14th, 2023

help-circle
  • I’d probably go with a “kitchen” metaphor here.

    The executable for a program is a list of instructions for the CPU to execute. Windows and Linux gaming machines will usually use x64. Most of the instructions are logic eg. how to add numbers together, what comparisons to make, what to copy from one place to another; and they’re exactly the same on both Windows and Linux, you can run them as-is.

    Some instructions ask the operating system to do things, like open a file to read. Windows and Linux do these quite differently, but you know how one works then you can change it to the equivalent ask for the other machine. Making the translation takes a moment, but some things are faster on Linux than Windows, so it’s not very easy to generalise as to whether it’ll be faster overall to do certain things. The really important operating system calls for games tend to be messages to pass to the GPU, and the Proton team have put a lot of work into making these as fast as possible.

    If you think of it like following a food recipe, then given the ingredients you’d expect that most people would produce exactly the same meal by following it. Most of the steps will be exactly the same for everyone. However, if a step requires a piece of equipment that you don’t have, then it might take longer to follow the recipe if you’ve got to make do with different stuff. Similarly, you might be able to prepare things quicker if you’ve got a whole pile of restaurant-level gear and can do some of the steps differently.






  • My workplace is a strictly BitBucket shop, was interested in expanding my skillset a little, experiment with different workflows. Was using it as a fancy ‘todo’ list - you can raise tickets in various categories - to remind myself what I was wanting to do next in the game I was writing. It’s a bit easier to compare diffs and things in a browser when you’ve been working on several machines in different libraries than it is in the CLI.

    Short answer: bit of timesaving and nice-to-haves, but nothing that you can’t do with the command line and ssh. But it’s free, so there’s no downside.


  • Ah, nice. Had been experimenting with using my Raspberry Pi 3B as my home Git server for all my personal projects - easy sync between my laptop and desktop, and another backup for the the stuff that I’d been working on.

    Tried running Gitea on it to start with, but it’s a bit too heavy for a device like that. Forgejo runs perfectly, and has almost exactly the same, “very Github inspired” interface. Time to run some updates…



  • Most common example would be a bicycle, I think - your pedals tighten on “in the same direction the wheel turns” as you look at them. So your left pedal has left-hand thread, and goes on and comes off backwards.

    The effect of precession also means that you can tighten the pedals on finger tight and a good long ride will make them absolutely solid - need to bounce up and down on a spanner to loosen them.



  • Yeah, it’s always had really strong art direction - still holds up, and you don’t notice missing shadows so much in the middle of a frenetic sequence anyway.

    Good to see ray tracing coming along. You could get the same shadows and lighting in a modern rasterising engine now as demonstrated in the RTX version, but at the cost of much more development time. Graphics like that being available to smaller studios and larger games being feasible for bigger studios would be great. HL2 is massive compared to modern shooters, and not having to spend forever tweaking each scene helps with that.


  • When I was still dual-booting Windows and Linux, I found that “raw disk” mode virtual machines worked wonders. I used VirtualBox, so you’d want a guide somewhat like this: https://superuser.com/questions/495025/use-physical-harddisk-in-virtual-box - other VM solutions are available, which don’t require you to accept an agreement with Oracle.

    Essentially, rather than setting aside a file on disk as your VM’s disk, you can set aside a whole existing disk. That can be a disk that already has Windows installed on it, it doesn’t erase what you have. Then you can start Windows in a VM and let it do its updates - since it can’t see the bootloader from within the VM, it can’t fuck it up. You can run any software that doesn’t have particularly high graphics requirement, too.

    I was also able to just “restart in Windows” if I wanted full performance for a game or something like that, but since Linux has gotten very good indeed at running games, that became less and less necessary until one day I just erased my Windows partition to recover the space.


  • It’s a simple alphabet for computing because most of the early developers of computing developed using it and therefore it’s supported everywhere. If the Vikings had developed early computers then we could use the 24 futhark runes, wouldn’t have upper and lower case to worry about, and you wouldn’t need to render curves in fonts because it’s all straight lines.

    But yeah, agreed. Very widely spoken. But don’t translate programming languages automatically; VBA does that for keywords and it’s an utter nightmare.


  • If you move past the ‘brute force’ method of solving into the ‘constraints’ level, it’s fairly easy to check whether there are multiple possible valid solutions. Using a programming language with a good sets implementation (Python!) makes this easy - for each cell, generate a set of all the values that could possibly go there. If there’s only one, fill it in and remove that value from all the sets in the same row/column/block. If there’s no cells left that only take a unique value, choose the cell with the fewest possibilities and evaluate all of them, recursively. Even a fairly dumb implementation will do the whole problem space in milliseconds. This is a very easy problem to parallelize, too, but it’s hardly worth it for 9x9 sodokus - maybe if you’re generating 16x16 or 25x25 ‘alphabet’ puzzles, but you’ll quickly generate problems beyond the ability of humans to solve.

    The method in the article for generating ‘difficult’ puzzles seems mighty inefficient to me - generate a valid solution, and then randomly remove numbers until the puzzle is no longer ‘unique’. That’s a very calculation-heavy way of doing it, need to evaluate the whole puzzle at every step. It must be the case that a ‘unique’ sodoku has at least 8 unique numbers in the starting puzzle, because otherwise there will be at least two solutions, with the missing numbers swapped over. Preferring to remove numbers equal to values that you’ve already removed ought to get you to a hard puzzle faster?




  • PS3 most certainly had a separate GPU - was based on the GeForce 7800GTX. Console GPUs tend to be a little faster than their desktop equivalents, as they share the same memory. Rather than the CPU having to send eg. model updates across a bus to update what the GPU is going to draw in the next frame, it can change the values directly in the GPU memory. And of course, the CPU can read the GPU framebuffer and make tweaks to it - that’s incredibly slow on desktop PCs, but console games can do things like tone mapping whenever they like, and it’s been a big problem for the RPCS3 developers to make that kind of thing run quickly.

    The cell cores are a bit more like the ‘tensor’ cores that you’d get on an AI CPU than a full-blown CPU core. They can’t speak to the RAM directly, just exchange data between themselves - the CPU needs to copy data in and out of them in order to get things in and out, and also to schedule any jobs that must run on them, they can’t do it themselves. They’re also a lot more limited in what they can do than a main CPU core, but they are very very fast at what they can do.

    If you are doing the kind of calculations where you’ve a small amount of data that needs a lot of repetitive maths done on it, they’re ideal. Bitcoin mining or crypto breaking for instance - set them up, let them go, check in on them occasionally. The main CPU acts as an orchestrator, keeping all the cell cores filled up with work to do and processing the end results. But if that’s not what you’re trying to do, then they’re borderline useless, and that’s a problem for the PS3, because most of its processing power is tied up in those cores.

    Some games have a somewhat predictable workload where offloading makes sense. Got some particle effects - some smoke where you need to do some complicated fluid-and-gravity simulations before copying the end result to the GPU? Maybe your main villain has a very dramatic cape that they like to twirl, and you need to run the simulation on that separately from everything else that you’re doing? Problem is, working out what you can and can’t offload is a massive pain in the ass; it requires a lot of developer time to optimise, when really you’d want the design team implementing that kind of thing; and slightly newer GPUs are a lot more programmable and can do the simpler versions of that kind of calculation both faster and much more in parallel.

    The Cell processor turned out to be an evolutionary dead end. The resources needed to work on it (expensive developer time) just didn’t really make sense for a gaming machine. The things that it was better at, are things that it just wasn’t quite good enough at - modern GPUs are Bitcoin monsters, far exceeding what the cell can do, and if you’re really serious about crypto breaking then you probably have your own ASICs. Lots of identical, fast CPU cores are what developers want to work on - it’s much easier to reason about.


  • Yes, because it doesn’t do as much to protect you from data corruption.

    If you have a use case where a barely-measurable increase in speed is essential, but not so essential that you wouldn’t just pay for more RAM to keep it in cache, and also it doesn’t matter if you get the wrong answer because you’ve not noticed the disk is failing, and you can afford to lose everything in the case of a power cut, then sure, use a legacy filesystem. Otherwise, use a modern one.


  • emerges from a brand you’ve probably never heard of

    Writing this on a Tuxedo Pulse 14 / gen 3 as we speak. Great little laptop. I’d wanted something with a few more pixels than my previous machine, and there’s a massive jump from bog-standard 1080p to extremely expensive 4K screens. Three megapixel screen at a premium-but-not-insane price, compiles code like a champion, makes an extremely competent job of 3D gaming, came with Linux and runs it all perfectly.

    “Tuxedo Linux”, which is their in-house distro, is Ubuntu + KDE Plasma. Seemed absolutely fine, although I replaced it with Arch btw since that’s more my style. Presumably they’re using Debian for the ARM support on this new one? This one runs pretty cold most of the time, but you definitely know that you’ve got a 54W processor in a very thin mobile device when you try eg. playing simulation games - it gets a bit warm on the knees. “Not x64” would be a deal-breaker for my work, but for most uses the added battery life would be more valuable than the inconvenience.