Search Results for "seti"
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Showing 11 open source projects for "seti"
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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.
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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.
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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.
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Full-stack observability with actually useful AI | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
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A SETI@Home/BOINC client watcher! User statistics powered by BOINCStats. But now built with the .NET environment.
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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.
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MightySETIInfo. Yet another SETI@Home email sig/HTML summary. Written in C++. Uses the Fox GUI library, and ftp4w32. Only tested with Win32 but should be easy to port to *nix. Works with SetiHide. Output files are customizable with HTML-like templates.
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Monitor for SETI@Home clients written in Java. Monitors statistics for a user, as well as work units.
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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
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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.
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