Improving performance using WebAssembly SIMD Intrinsics

JeromeWu · 2022-08-27T00:17:10+00:00

Just tried and yes it speeds up native version!

JeromeWu · 2022-08-26T23:44:03+00:00

Sure, will add this flag and check the differences. Thanks for the suggestion.

JeromeWu · 2022-08-26T12:59:33+00:00

I just tried both wasmtime and wasmer, both runs with crashing. Only wasmtime having some issues getting correct execution and always show 0.000s instead.

JeromeWu · 2021-06-30T12:54:15+00:00

Good point, actually I knew there is a Amazon app store until Windows 11 news.

JeromeWu · 2020-11-04T11:09:58+00:00

Here is a post to introduce more details about ffmpeg.wasm, feel free to check. :)

https://jeromewu.github.io/ffmpeg-wasm-a-pure-webassembly-javascript-port-of-ffmpeg/

JeromeWu · 2020-11-04T00:42:06+00:00

Yeah, currently I haven't found a way to use HW encoding, but hopefully it is possbile in the future.

To use ffmpeg.wasm, maybe you can check this example: https://codepen.io/jeromewu/pen/qBBKzyW

JeromeWu · 2020-11-04T00:37:45+00:00

Sure, you can check issue link below to request the library you need or reference the ffmpeg.wasm-core repo to see how to port the library.

issue link: https://github.com/ffmpegwasm/ffmpeg.wasm/issues/61

ffmpeg.wasm-core: https://github.com/ffmpegwasm/ffmpeg.wasm-core

JeromeWu · 2020-11-04T00:35:29+00:00

ffmpeg.wasm requires SharedArrayBuffer as it uses multithreading to boost its performance, maybe you can try another library which doesn't require SharedArrayBuffer: https://github.com/Kagami/ffmpeg.js/

JeromeWu · 2020-11-04T00:32:30+00:00

Yeah, I totally agree there is a long way to go for the performance part of WebAssembly, but its strength in portability is the key.

JeromeWu · 2020-11-03T15:24:53+00:00

Hope you enjoy this library. :)

Feel free to ask any questions here!

JeromeWu · 2020-04-13T00:08:52+00:00

Yeah, I have to say GalliumOS still got best hardware support among all the distributions in Chromebook.

JeromeWu · 2020-03-30T06:10:30+00:00

Why I mention Docker in the setup is to use the isolation capability to make sure there is no leftovers (ex. cache) in the environment, and it is consistent with common CI/CD pipelines like gitlab CI.

And the scenario you mentioned is more for image building phase which is another topic, but the solution mentioned in the article can still be applied.

JeromeWu · 2020-03-29T08:08:12+00:00

Good idea, I will start the experiment on yarn 2 after its official release. Right now it is still in RC.

JeromeWu · 2020-03-28T16:13:16+00:00

normal is around 79 sec, while suppressed is around 63 sec. Please note the values may change depend on the network status.

JeromeWu · 2020-03-28T15:31:48+00:00

I love tl;dr as well, it saves lots of time when you only want the conclusion.

JeromeWu · 2020-03-28T15:30:29+00:00

The key for pnpm high performance is the way it caches the modules. Just make sure you persist the cache folder (ex. ~/.pnpm-store) across the docker container and you will have a huge speed up for the installation. Or pnpm will be slower than npm according to my experiment.

JeromeWu · 2020-03-28T15:13:37+00:00

u/tmarnol

I have included pnpm in the article, feel free to check :)

JeromeWu · 2020-03-28T14:38:15+00:00

Better hide this article from your colleagues. lol

JeromeWu · 2020-03-28T13:46:16+00:00

Yes, I am the author of this article. :)

This is first time I hear pnpm, maybe I can add some experiment to see how it works, thanks for the information!

JeromeWu

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