SotCodeLaureate

2 năm trướcdiscuss

Thanks! Yeah, this one is supposed to be a very simple implementation for a kind of "how to write a machine code interpreter" tutorial, but I was looking to experiment with some optimizations if time permits. Patching with pre-baked alt-bytecode was one of the ideas indeed.

SotCodeLaureate

2 năm trướcdiscuss

Recently I wrote a simplistic RISC-V interpreter for educational purposes mostly, and a friend was benchmarking it against several scripting system in the context of game-character control routines. Well, it's quite fast for what it is, though Lua is still somewhat faster, heh.

Some benchmarking code is here: https://github.com/glebnovodran/roam_bench

SotCodeLaureate

3 năm trướcdiscuss

Couple years ago was experimenting with portable OpenGL rendering, and, interestingly of all platforms I had to deal with the Web was the easiest target :) - thanks to the excellent emscripten largely.

If interested, you can find the code/demo here: https://github.com/schaban/crosscore_dev (the link to the online demo is there in the README)

SotCodeLaureate

3 năm trướcdiscuss

> I'm going to start learning graphics for the first time

Vulkan is a quagmire of very low-level concepts, the danger of getting stuck in them and give up without learning anything is just too high.

At the same time making something with OpenGL that is more interesting than a simple rotating cube is not that difficult and you will get a lot of mid-level understanding - how rendering pipeline implemented and organized, what kind of task it is. "Porting" this knowledge to Vk is straightforward.

SotCodeLaureate

3 năm trướcdiscuss

> No I mean do full software rendering, no shaders, no graphics card.

But why?

There doesn't seems to be a lot to learn about applied linear algebra (in the sense discussed here) by implementing a rasterizer.

But there is plenty of LA above and below that (in the scene management, in the shaders).

SotCodeLaureate

4 năm trướcdiscuss

I often recommend this book, RTCD, as a "better intro to data structures and algorithms" (sometimes as "the best"). The advice often falls on deaf ears, unfortunately.

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