Search Results for "data grid"

THIS VERSION HAS A TABLE VIEW FOR SYSTEMS THAT DO NOT SUPPORT LARGE GRAPHIC DISPLAYS SUCH AS LOW-END LAPTOPS. CHECK OUT ft8mapper FOR BETTER GRAPHICS AND GRID TRACKING. Filt8 - v3.6 release - Requires Python 3.x (3.10 or higher on Mac) Scrollable maps for small screens State data as of Feb 25, 2024. Map saves settings. Map features: filter by band, click to Lookup. Offline Maps to show station grid locations as you decode them in real-time (Check out js8mapper project on https://sourceforge.net/projects/js8map/ for this same option for JS8Call) Map feature allows filtering by band, listings by callsigns or grids, and callsign lookups via QRZ or HamCall (this requires Internet). ...

dispy is a generic and comprehensive, yet easy to use framework for creating and using compute clusters to execute computations in parallel across multiple processors in a single machine (SMP), among many machines in a cluster, grid or cloud. dispy is well suited for data parallel (SIMD) paradigm where a computation (Python function or standalone program) is evaluated with different (large) datasets independently. dispy supports public / private / hybrid cloud computing, fog / edge computing.

This small tool allows the user to graphically examine ddrescue's mapfiles in a user friendly GUI application. The Main window displays a block grid with each block's color representing the block types it contains. Many people know this type of view from defragmentation programs. The program is written in Object Pascal using the Lazarus IDE. It can be compiled to run on Windows, GNU/Linux and probably OS X, too. The downloads include binaries for the respective target platform and the...

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

The Grid-Cache is a GSI HTTPS data transfer server. The server can share, for read and write, local resources and remote repositories using a cache based optimization.

Infinispan is an open source, Java based data grid platform. ***IMPORTANT*** Starting with Infinispan 5.0.0.FINAL, Infinispan releases are no longer hosted in Sourceforge. They can now be located in www.jboss.org/infinispan/downloads

OSGMM, the Open Science Grid Match Maker, is a match maker which sits on top of the OSG Client software stack. It gets site information from ReSS and uses a feedback system with Condor to publish the site information and keep job success history data.

WSRF-compliant tools and services for data mining in grid computing environments, based on: Globus Toolkit 4, Condor and Triana workflow system. Learn more at: http://www.datamininggrid.org Copyright (c) 2008 DataMiningGrid Consortium.

KTable is a custom SWT table widget that provides a flexible grid of cells to display data. Since it is custom-drawn, it does not have the restrictions of the native SWT Table control.

Cube Platform is a decentralized grid computing system that uses P2P Pastry protocol for communication between nodes. It's a big data storage written in Java.

Informationprovider (Sensor) for Geolocation and Maintenance data. The provider is able to publish geolocation data as well as maintenance messages and site descriptions to a Globus MDS4 grid information system.

The Gridbus Grid Service Broker, is a service-oriented, economy and data-aware resource broker system that uses a simple, extensible middleware independent architecture that mediates access to distributed resources on a local / Global Grid of computers.

DDGP is a simple grid platform written in Java. It focuses on distributed computing and data gathering in Internet environment. Intended for smaller projects requiring couple hundreds of computers gathered together for a master-worker like jobs.

JCGrid is an easy-to-use tools for real-world grid-computing. It requires only to install Java Runtime and you can easy split your cpu-intensive task among several Workstations/PC/Mac/etc. It includes support for POVRay and MandelGrid as usage examples.

...When you open the program, you'll see a graph of your current usage, as well as the hard numbers and the time the usage was grabbed. Opening the History window will let you list your usage given all past data, displaying it in easy-to-read graphs or grid representations, helping you map out your bandwidth usage and estimate when your usage values will drop. The graphs can be customized and the program's features are all easily changed from a helpful Configuration window, which also allows you to set up alerts when your usage climbs too fast.