Put idle assets to work with competitive interest rates, borrow without selling, and trade with precision. All in one platform.
Geographic restrictions, eligibility, and terms apply.
Get started with Nexo.
Earn up to 15% annual interest with Nexo.
Access competitive interest rates on your digital assets.
Generate interest, borrow against your crypto, and trade a range of cryptocurrencies — all in one platform.
Geographic restrictions, eligibility, and terms apply.
A framework to run MATLAB programs as batch jobs. Features a structured input description, integrity constraints and GUI.Independent parts of a job can execute in parallel on a cluster computer. Developed at Freiburg Brain Imaging (FBI) - http://fbi.uniklinik-freiburg.de/
Massively Parallel Graph processing on GPUs -- now part of Blazegraph
...The early work was co-developed with the University of Utah SCI Institute and has its pedigree in the UINTAH software running on over 750M cores on the TITAN Super Computer.
Today, SYSTAP has commercialized this technology into it’s Blazegraph Accelerator and Blazegraph HPC products. Checkout our options for GPU acceleration of graphs or contact us to learn more: https://www.blazegraph.com/product/gpu-accelerated/.
The early work was released under the Apache 2 open source license and is available on here at Sourceforge. ...
Create your own distributed computer that can distributed javascript based applications to any computer with a web browser, headless browser or node.js installation.
For more information and updates please see our website - http://reorjs.com.
CACANMS is an acronym for Computer Aided Campus Area Network Management System. The system consists of software components and a library of about 60 classes. It is divided into three types of subsystems which reside on different servers and communicate.
Run applications fast and securely in a fully managed environment
Cloud Run is a fully-managed compute platform that lets you run your code in a container directly on top of scalable infrastructure.
Run frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
A suite of software tools written in Java for authoring and delivery of IMS standard-compliant learning objects. *** This site only contains the source code. For the binaries go to http://www.reload.ac.uk ***
Cube Platform is a distributed system over p2p based in Java. Cube Platform allow users to share CPU-resources allowing the creation of computer alliances for resolve a big problems.
This project aims to provide a reliable cloud computing system, able to work with cloud computing framework existing today. Developed and maintained by Alecsandru Patrascu, Computer Science, University Politehnica of Bucharest
JAva DIstributed Framework provides a secure and flexible Framework for distributed grid and volunteer computing applications (separate client & server Framework). For more informations take a look at the project page http://jadif.sourceforge.net
Python Integrated Parallel Programming EnviRonment (PIPPER), Python pre-parser that is designed to manage a pipeline, written in Python. It enables automated parallelization of loops. Think of it like OpenMP for Python, but it works in a computer cluster
POV-Ray Animations for everyone from everyone.
Use the power of many Computer connected to the Internet to raytrace long or complex Animations with the freeware Raytracer POVRay (http:/www.povray.org/). Each Client gets a "work unit" from the Server an
MKS CORE SYSTEMS DEVELOPMENT
* Project and Knowledge Management System
* Collaborative Messaging and integrated Workflow engine
* On-line voting, scoring and reviews
* Template based Project Creation
* Tree-based Knowledge Mapping
The MathForge Application Environment provides users a broad range of Java-based math tools (calculation, visualization, presentation and communication via MathML) and allows developers to leverage existing code while extending MathForge.
Dominatrix is a general purpose framework for building dynamic distributed projects. It is fairly stable, easy to use and extend, simple to install, and can be used for most any project that requires computation across multiple machines.
Some example exercises about distributed systems in computer science. Some code examples for Java RMI, Java Server Socket and Peer to Peer Systems written in Java. Probably using the Hibernate framework and some other Java Technologies.