Search Results for "topology%20optimization"

Elastic Cloud on Kubernetes automates the deployment, provisioning, management, and orchestration of Elasticsearch, Kibana, APM Server, Enterprise Search, Beats, Elastic Agent, and Elastic Maps Server on Kubernetes based on the operator pattern.

Broadway is a data processing library for Elixir designed to handle high-throughput, concurrent workloads with ease. It provides an abstraction for defining pipelines that consume data from sources like RabbitMQ, Kafka, Amazon SQS, or custom producers. Each pipeline is fault-tolerant and backpressure-aware, ensuring stable throughput even under load. The library integrates seamlessly with GenStage and OTP supervision trees, making it highly resilient in production. Developers can enrich...

CacheManager is an open source caching framework for .NET written in C# and is available via NuGet. It supports various cache providers and implements many advanced features. A simple but very efficient implementation. This handle is faster than any other in most scenarios and works cross-platform. Two implementations are available, based on System.Runtime.Caching and based on the new Microsoft.Extensions.Caching.Memory package. Redis can be used as an extremely fast and reliable...

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

...Distribution of tasks occurs through a network of nodes that can accept tasks and execute them, or forward them on. Nodes executing a task, load the required resources as needed, and cache them. The topology of the network of nodes can be anything that can be represented as a directed graph. Topologies can be tailored to solve specific problems. Diffusive is a Java refer- ence implementation of the six principles that define diffusive programming.

...In Gizzard, data is stored in underlying storage shards (which could be databases or other stores) and Gizzard handles the process of routing requests correctly as the cluster topology changes. Gizzard's architecture is designed for operational flexibility: you can change the shard layout over time, reassign replicas, migrate data between nodes, and have requests redirected during transitions. It also supports secondary indexing and provides hooks for custom logic in migrations and consistency. Because Gizzard handles much of the complexity of shard routing and cluster transitions, it was used to support large-scale, evolving storage backends in production.

It's an object-oriented library written in C++ for creating arbitrary kind of neural networks. The user can use the classes provided to create neural network with arbitrary topology and mixed type of neurons. It's very easy add custom neurons.