Search Results for "workload"

Piscina is a fast, efficient Node.js worker thread pool implementation, designed to perform heavy CPU-bound tasks in parallel, thereby improving application performance.

amis is a low-code front-end framework that uses JSON configuration to generate pages, which can reduce the workload of page development and greatly improve efficiency. After a decade of development, front-end development is becoming increasingly complex, the threshold is getting higher and higher, to use the current popular UI component library, you must know npm, , webpack, react/vueyou must be familiar with ES6the syntax, but also to understand the best state management, for example Redux, if no contact with functional programming, light entry is very strenuous, but after entry it will find there is a huge eco- related library has 2347 Ge, many features similar to the selection of high costs. ...

...Optimized deflate packages which can be used as a dropin replacement for gzip, zip and zlib. snappy is a drop-in replacement for github.com/golang/snappy offering better compression and concurrent streams. huff0 and FSE implementations for raw entropy encoding. gzhttp Provides client and server wrappers for handling gzipped requests efficiently. pgzip is a separate package that provides a very fast parallel gzip implementation. Stream decompression is now faster on asynchronous since the goroutine allocation much more effectively splits the workload. On typical streams, this will typically use 2 cores fully for decompression. When a stream has finished decoding no goroutines will be left over, so decoders can now safely be pooled and still be garbage collected.

Discord.Net is an asynchronous, multi-platform .NET Library used to interface with the Discord API. Nightlies are builds of Discord.NET that are still in an experimental phase, and have not been released. These are not included in the main repository and are instead taken over by Discord.NET Labs. Discord.NET Labs is an experimental fork of Discord.NET that implements the newest discord features for testing and development to eventually get merged into Discord.NET. A counterpart to the...

A unified approach to federated learning, analytics, and evaluation. Federate any workload, any ML framework, and any programming language. Federated learning systems vary wildly from one use case to another. Flower allows for a wide range of different configurations depending on the needs of each individual use case. Flower originated from a research project at the University of Oxford, so it was built with AI research in mind.

Pixeval is a third-party proxy-free P station client developed by me as an amateur. The UI is implemented using Windows Presentation Foundation , based on .NET Core 3.0 , and supports Windows 7-10 (planning to cancel support other than Win10), and implements most of the The browsing function and many enhancements have been made. It has been open sourced on Github based on the AGPL protocol . The project was conceived in 2018. At that time, the api of the P station was written in Java. At...

...Reanimated is widely used when standard React Native animation tools are not flexible or fast enough for complex UI behavior. Its main value is giving developers detailed control over motion while keeping animations responsive even under heavy JavaScript workload.

...Ray makes it effortless to parallelize single machine code — go from a single CPU to multi-core, multi-GPU or multi-node with minimal code changes. Accelerate your PyTorch and Tensorflow workload with a more resource-efficient and flexible distributed execution framework powered by Ray. Accelerate your hyperparameter search workloads with Ray Tune. Find the best model and reduce training costs by using the latest optimization algorithms. Deploy your machine learning models at scale with Ray Serve, a Python-first and framework agnostic model serving framework. ...

JPPF makes it easy to parallelize computationally intensive tasks and execute them on a Grid.

Provides distributed method invocation capabilities to regular Java classes with limited or no extra work for the developer. The workload is balanced over participating machines. Java API, Anders Björklund