Search Results for "computer system optimization"

PelicanHPC is an iso-hybrid (CD or USB) image that let's you set up a high performance computing cluster in a few minutes. A Pelican cluster allows you to do parallel computing using MPI. You can run Pelican on a single multiple core machine to use all cores to solve a problem, or you can network multiple computers together to make a cluster. The frontend node (either a real computer or a virtual machine) boots from the image. The compute nodes boot by PXE, using the frontend node as the...

Crane is a FinOps Platform for Cloud Resource Analytics and Economics in Kubernetes clusters. The goal is not only to help users to manage cloud cost easily but also to ensure the quality of applications.

Setting up a Kubernetes cluster and Istio service mesh with vagrantfile which consists of 1 master(also as node) and 3 nodes. You don't have to create complicated CA files or configurations. Because using virtual machines to setup a distributed Kubernetes cluster will bring a high load on your computer, I created the lightweight Cloud Native Sandbox using Docker to set up a standalone Kubernetes.

Version 1.6 Brings new Design, many fixes and almost 50% reduction in CPU consumption. Lightweight and portable application that beginners and advanced users may tinker with to tweak system settings and improve overall performance. Protect your online privacy and keep your computer secure. A single file that can easily be transferred To boost any PC at will, with low CPU and RAM consumption. - Clean Up your PC Clean all your unnecessary files that will hog your system over time. Temporary files, Windows Cache, Error reports, Old Prefetched Data, Crash Dumps, Recent Files, Software Distribution, Recycle Bin, Font Cache, Memory Dumps, Mini Memory Dumps.Chrome, Firefox, Maxthon, Opera, Internet Explorer supported...

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

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

Ruby script for converting csv lists of computer names and their other attributes into a cluster ssh or .csshrc file.

Utilize Java to create an application capable of massivly parallel operations. Application will be targeted as a Napster Clone, with the additional capability of downloading projects which are seeking computer time.