Search Results for "xmr-stak-cpu"

...While current libraries/frameworks like Angular, React or Vue provide reasonable performance for small or mostly static Apps, they lack when it comes to big Apps or complex Components. The problem is, that most Apps today run within a single thread (CPU), while each computer or mobile device has several CPUs available. Some Apps move expensive tasks into separate threads, but this is by far not enough. Using neo.mjs, most parts of the framework as well as the Apps which you create with it, run inside a separate thread. This architecture leaves the main thread mostly idle, so it can fully concentrate on its purpose.

...Great for large dev teams, old/new projects, and works w/Pino, Bunyan, Winston, console, and more. It is lightweight, performant, highly-configurable, and automatically adds OS, CPU, and Git information to your logs. Hooks, dot-notation remap, omit, and pick of metadata. Axe was built to provide consistency among development teams when it comes to logging. You not only have to worry about your development team using the same approach to writing logs and debugging applications, but you also have to consider that open-source maintainers implement logging differently in their packages. ...

...You can easily use industry-standard models, such as YOLO, or load your custom model in one of the supported inference runtimes. Pipeless ships some of the most popular inference runtimes, such as the ONNX Runtime, allowing you to run inference with high performance on CPU or GPU out-of-the-box. You can deploy your Pipeless application with a single command to edge and IoT devices or the cloud.

Highly scalable pub/sub and RPC toolkit optimized for async/await. Pub/sub-channels are very cheap. You can have millions of unique channels without worrying about memory or CPU usage. Channels are automatically cleaned up when they are no longer used. The socket cluster CLI tool exposes kubectl (Kubernetes) shortcut commands to make deploying your app to any Kubernetes cluster really easy. All necessary Kubernetes .yaml files are provided. After deploying your app to a Kubernetes cluster, you can scale indefinitely by using the kubectl scale deployment command to add more SCC-worker and SCC-broker instances as needed. ...

A high-performance sensitive word (illegal word/dirty word) detection and filtering component, with a traditional and simplified exchange, supports full-width half-width exchange, Chinese characters to pinyin, fuzzy search, and other functions. C#Language, using StringSearchEx2.Replacefiltering, on a 48k sensitive thesaurus at over 300 million characters per second. (cpu i7 8750h). C#'s own regular is very slow, which StringSearchEx2.ContainsAnyis Regex.IsMatchmore than 88,000 times the efficiency, which is related to the number of keywords. In the Find All test, (sensitive words in the detected text will not be displayed, you can debug and view by yourself). Special class for filtering illegal words (sensitive words), you can set the length of skip words, default full-width to half-width, ignore case, skip words, repeated words, blacklist, etc.