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Multi-SETI@home Monitor. This program was written to monitor SETI@home and BOINC activity that may be running on multiple computers over a network without having to cross mount file systems. Runs on Windows/Linux/Unix.
Bringing BOINC and its projects (SETI@Home, etc.) to the Android mobile platform, through translation to Java. ATTENTION: The code is in pre-alpha stage, and currently meant mainly for BOINC developers.
Poor Man's HPC is a framework that allows distributing and running code on a server farm. pmHPC is a scaled down and simplified version of distributed computing projects such as SETI, so is a perfect fit for enthusiasts and universities.
Ksetiwatch monitors multiple SETI@home clients running on your computer or in your local network, and logs/manages completed work units. It is developed for the K Desktop Environment.
lin-seti is a command-line program allowing to mantain a cache of work units for the Seti@Home client. Written in C, it should run on most unix-like systems, including linux. It is designed to be cache-compatible with 'Seti Driver' for Windows.
KSetiSpy is a KDE program for monitoring the SETI@home client and displaying information about the data it analyzes.
It offers the same user interface as SETI Spy, a popular Windows utility.
A bash script that allows Seti @ Home users to queue up and process multiple work units. This means you don't have to connect to the seti servers after every work unit, and only when you want to.
Seti Daemon is a little piece of software which allows to use a Seti@HOME client on those machines that have many users who can log in. When nobody is logged in, this daemon will launch the Seti client, closing it when someone log in.
phpMySetiStats is a tool for displaying SETI@home statistics of running processes and personal statistics from Berkeley. It uses MySQL on backened. Crontab is also recommended.
The purpose of this project is to build a client-server application that will send summaries from Seti@Home clients distributed all across a network to a central host, allowing that way to a monitoring program to show results and statistics for multiple c
Improving the speed of the signal analysis code for Seti@home. Leveraging modern processors advanced features such as SIMD and parallel execution units, as well as identifying better methods to code existing functions.