How can we easily develop applications for multicore or multicomputer architectures? We frequently use middlewares for that problem, but they are often complex and less productive. This way, at DECOM-UFOP, we have a middleware, named JavaCa&La or just JCL, to build portable and scalable solutions over many high performance computer architectures. Our middleware APIs is simple, intuitive and designed for young and senior programmers who don’t have high performance programming skills. Using our middleware, different programmers can develop applications in a collaborative way, i.e., one programmer application can read and write global variables from another application, developed by another programmer, in another machine, without explicit references. Existing Java applications can be executed by JCL. Low refactorings to insert distributed JCL maps in your existing code. Portable JCL code for multicore and multicomputer architectures.

Project Activity

See All Activity >

License

GNU General Public License version 3.0 (GPLv3)

Follow JavaCá&Lá

JavaCá&Lá Web Site

You Might Also Like
Gen AI apps are built with MongoDB Atlas Icon
Gen AI apps are built with MongoDB Atlas

The database for AI-powered applications.

MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of JavaCá&Lá!

Additional Project Details

Intended Audience

Advanced End Users, Developers, Education, Engineering, Information Technology, Science/Research

Programming Language

Java

Related Categories

Java Frameworks, Java Object Brokering Software, Java Virtual Machine Software

Registered

2012-06-26