jdk7u-jdk VS SSVM

Skip lists are relatively simple to make lock-free, while lock-free (even unbalanced) binary search trees are an absolute nightmare.

https://github.com/openjdk-mirror/jdk7u-jdk/blob/master/src/...

Here is the JDK 7 String#hashCode(), which operates on characters: https://github.com/openjdk-mirror/jdk7u-jdk/blob/f4d80957e89....

That's changed in the newer versions, because String has a `byte[]` not a `char[]`, but it was just fine. A hash algorithm can take in bytes, characters, ints, it doesn't matter.

In Java, you don't get access to the bytes that make up a string, to preserve the string's immutability. So for many operations where you might operate on bytes in a lower level language, you end up using characters (unless you're the standard library, and you can finagle access to the bytes), or alternately doing a byte copy of the entire string.

I admit, checksums using characters are a bit weird sounding, but they should also be perfectly well-defined.

"AbstractInterruptibleChannel" seems to be doing this, and the comments/javadocs offer some hint. As to why they're designed this way, that's a good question.

https://github.com/openjdk-mirror/jdk7u-jdk/blob/master/src/...

In Java, you could use BigDecimal. I linked to the source code, because it highlights the amount of complexity you get.

The windows implementation of AWT Desktop just calls the Win32 API ShellExcute function. This then quickly descends into questions such as "what version of windows do you have"; "does it correctly understand the difference between open vs. edit"; what does your registry currently contain"; etc.

ArrayList is a class, it is not an array. It stores two values. An array and its size. You can see this if you read the source code for ArrayList.

The source code for the Java SDK is available on github.

WasmEdge GitHub address: https://github.com/WasmEdge/WasmEdge.

I see that they recently changed the intro of WasmEdge on Github [1] to " WasmEdge is the easiest and fastest way to run LLMs on your own devices. "

Since it's a wasm runtime capable of many things I find bizarre that they now start describing it with a ultra-specific use case

- [1] https://github.com/WasmEdge/WasmEdge

Mmm…

The wasm-nn that this relies on (https://github.com/WebAssembly/wasi-nn) is a proposal that relies of arbitrary plugin backends sending arbitrarily chunks to some vendor implementation. The api is literally like set input, compute, set output.

…and that is totally non portable.

The reason this works, is because it’s relying on the abstraction already implemented in llama.cpp that allows it to take a gguf model and map it to multiple hardware targets,which you can see has been lifted here: https://github.com/WasmEdge/WasmEdge/tree/master/plugins/was...

So..

> Developers can refer to this project to write their machine learning application in a high-level language using the bindings, compile it to WebAssembly, and run it with a WebAssembly runtime that supports the wasi-nn proposal, such as WasmEdge.

Is total rubbish; no, you can’t.

This isn’t portable.

It’s not sandboxed.

If you have a wasm binary you might be able to run it if the version of the runtime you’re using happens to implement the specific ggml backend you need, which it probably doesn’t… because there’s literally no requirement for it to do so.

There’s a lot of “so portable” talk in this article which really seems misplaced.

WasmEdge isn't there yet: https://github.com/WasmEdge/WasmEdge/issues/1122#issuecommen...

Example 1: Analyze the content and risks of each commit in the PR. Then make a summary. https://github.com/WasmEdge/WasmEdge/pull/2394#issuecomment-...

There has also been a few "cloud-native" runtimes based on WASM, like WasmEdge but there's a few others (can't remember their names!)...