Search Results for "affinity"

Lets you bind a thread to a given core, this can improve performance (this library works best on linux). Java-Thread-Affinity will try to use JNA to provide access to native thread-handling functions. JNA should be installed on your system to get the most from this library. Java-Thread-Affinity currently depends on JNA version 4.4.0, which in turn depends on a version of GLIBC >= 2.14. If your operating system is an old one, with a version of GLIBC released before 2011, this library...

pv-migrate is a CLI tool/kubectl plugin to easily migrate the contents of one Kubernetes PersistentVolumeClaim to another. On Kubernetes, if you need to rename a resource (like a Deployment) or to move it to a different namespace, you can simply create a copy of its manifest with the new namespace and/or name and apply it. However, it is not as simple with PersistentVolumeClaim resources: They are not only metadata, but they also store data in the underlying storage backend. In these cases,...

RePlugin is a complete Android plug-in solution which is suitable for general use. Apps do not need to be upgraded to support new components, even brand new plug-ins. With only ONE hook (ClassLoader), NO BINDER HOOK. RePlugin’s Crash ratio is as low as Ten thousandth (0.01%). In addition, RePlugin is compatible with almost ALL Android ROMs in the market. RePlugin supports almost all features seamlessly as an installed application, including static Receiver, Task-Affinity, user-defined Theme...

The ulttiny library is small, easy to use and very fast. It's optimized especially for scenarios where tasks and task groups are dynamically and concurrently created on the fly.

This is a lightweight wrapper for the Spotify Web API (2.6kB gzipped + compressed). It includes helper functions for all Spotify's endpoints, such as fetching metadata (search and look-up of albums, artists, tracks, playlists, new releases, podcasts) and user's information (follow users, artists and playlists, and saved tracks management). It doesn't have any dependencies and supports callbacks and promises. It is intended to be run on a browser, but if you want to use Node.JS to make the...

Classical genetic algorithm suffers heavy pressure of fitness evaluation for time-consuming optimization problems. To address this problem, we present an efficient genetic algorithm by the combination with clustering methods. The high efficiency of the proposed method results from the fitness estimation and the schema discovery of partial individuals in current population and. Specifically, the clustering method used in this paper is affinity propagation. The numerical experiments...