Search Results for "broadcasting"

...This provides a more robust, efficient alternative to continually polling your application for changes. To assist you in building these types of applications, Laravel makes it easy to "broadcast" your events over a WebSocket connection. Broadcasting your Laravel events allows you to share the same event names between your server-side code and your client-side JavaScript application. Laravel Echo is a JavaScript library that makes it painless to subscribe to channels and listen for events broadcast by Laravel. You may install Echo via the NPM package manager.

C++ IPC Library: A high-performance inter-process communication using shared memory on Linux/Windows.

...It separates the logical view (shape, dtype, chunking) from the physical layout so the same code can target Zarr, N5, TIFF pyramids, or custom backends. Rich indexing, slicing, and broadcasting operations make it feel like a familiar array API, while asynchronous I/O pipelines stream chunks efficiently in parallel. Transactional semantics allow atomic updates and consistent snapshots, which is essential for large, shared datasets used by ML and scientific workflows. The library is engineered for scalability—background caching, chunk sharding, and retryable operations keep throughput high even over unreliable networks. ...

Smallchat is a minimalistic chat server implemented in C, designed as a small-scale example (for didactic purposes) of writing system software such as network servers, multiplexed I/O and client state handling. The project shows how you can build a working chat server (accepting clients, broadcasting messages) in very few lines of C, without heavy libraries or frameworks—essentially minimal code, minimal dependencies, and minimal feature-set to illustrate the core concepts. It uses the simplest assumptions (for example: clients connect via telnet or netcat, line-based I/O) and keeps the message logic straightforward: each received line from one client is broadcast to all others (fan-out). ...

The Minkowski Engine is an auto-differentiation library for sparse tensors. It supports all standard neural network layers such as convolution, pooling, unspooling, and broadcasting operations for sparse tensors. The Minkowski Engine supports various functions that can be built on a sparse tensor. We list a few popular network architectures and applications here. To run the examples, please install the package and run the command in the package root directory. Compressing a neural network to speed up inference and minimize memory footprint has been studied widely. ...

snmpAdaptor4j is an adaptor for Java Management eXtensions (JMX) providing a simple access to MBeans via the SNMP protocol. Thus, this adapter you allow to connect most monitoring tools (like Nagios and Cacti) to your Java applications. For each MBean, an XML mapping file allows to establish the relationships between attributes and the MIB of the SNMP adapter. No additional code is necessary to integrate the MBeans in the SNMP protocol. This adapter can work in a multi-applications...