Search Results for "cluster computing"
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Showing 43 open source projects for "cluster computing"
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Forever Free Full-Stack Observability | 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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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Kraken
P2P Docker registry capable of distributing TBs of data in seconds
Kraken is a P2P-powered Docker registry that focuses on scalability and availability. It is designed for Docker image management, replication, and distribution in a hybrid cloud environment. With pluggable backend support, Kraken can easily integrate into existing Docker registry setups as the distribution layer. Kraken has been in production at Uber since early 2018. In our busiest cluster, Kraken distributes more than 1 million blobs per day, including 100k 1G+ blobs. At its peak... -
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LINKERD
Ultralight, security-first service mesh for Kubernetes
Enterprise power without enterprise complexity. Linkerd adds security, observability, and reliability to any Kubernetes cluster. 100% open source, CNCF graduated, and written in Rust. Instantly add latency-aware load balancing, request retries, timeouts, and blue-green deploys to keep your applications resilient. Incredibly small and blazing fast Linkerd2-proxy micro-proxy written in Rust for security and performance. Self-contained control plane, incrementally deployable data plane, and... -
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kubeinvaders
Gamified Chaos Engineering Tool for Kubernetes
This project is part of the landscape of Cloud Native Computing Foundation in the Observability and Analysis - Chaos Engineering section. Backed by the teams at platform engineering.it and devopstribe.it, which provides enterprise-grade features and certified resilience services for your Kubernetes infrastructure. -
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MicroK8s
Single-package Kubernetes for developers, IoT and edge
Low-ops, minimal production Kubernetes, for devs, cloud, clusters, workstations, Edge and IoT. MicroK8s automatically chooses the best nodes for the Kubernetes datastore. When you lose a cluster database node, another node is promoted. No admin needed for your bulletproof edge. MicroK8s is small, with sensible defaults that ‘just work’. A quick install, easy upgrades and great security make it perfect for micro clouds and edge computing. As the publishers of MicroK8s, we deliver the world’s most efficient multi-cloud, multi-arch Kubernetes. ... -
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AWS ParallelCluster Node
Python package installed on the Amazon EC2 instances
aws-parallelcluster-node is the python package installed on the Amazon EC2 instances launched as part of AWS ParallelCluster. AWS ParallelCluster is an AWS-supported Open Source cluster management tool that makes it easy for you to deploy and manage High-Performance Computing (HPC) clusters in the AWS cloud. Built on the Open Source CfnCluster project, AWS ParallelCluster enables you to quickly build an HPC compute environment in AWS. It automatically sets up the required compute resources and a shared filesystem and offers a variety of batch schedulers such as AWS Batch and Slurm. ... -
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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.
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KubeOperator
An open source, lightweight Kubernetes distribution
...Compared with heavyweight PaaS platforms such as OpenShift, KubeOperator only focuses on solving one problem, which is to help enterprises plan (Day 0), deploy (Day 1), and operate (Day 2) production-level K8S clusters, and achieve the ultimate. Supports multiple computing, storage and networking scenarios. Integrate Ansible and Terraform. Support online environment and offline environment deployment. Provides a visual web UI. Supports cluster planning, deployment and operations. Easily run workloads like machine learning, high-performance computing, and more. Quickly deploy and manage applications in K8S. ... -
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dispy
Distributed and Parallel Computing with/for Python.
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. -
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SAFMQ: Store and Forward Message Queue, message oriented middleware. Uses include Assured Async Messaging, SOA, Delayed/Batch, and Cluster/Grid Computing. The SAFMQ server provides cross platform communication among C++, PHP, Java, and .NET clients.
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Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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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/
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Moscrack is a perl application designed to facilitate cracking WPA keys on a cluster of computers. This is accomplished with any one of Mosix clustering software, ssh, rsh or Pyrit connectivity to nodes. Cluster nodes can run any Un*x variant (includ
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OpenSearchServer Store
A file server with a RESTFul web service.
An open source (Apache 2 license) file server software with a RESTFul web service for file management in a cluster of nodes. Including 4 set of API - Store API: Upload, download files and directories - Process API: Managing the long term process runs - Glacier API: Uploading from the server to Glacier - Cluster API: Manage the nodes in the cluster -
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These are 2 OS definitions and a scheduler script that are designed for the full virtualization of linux and windows systems on Ganeti. They works good on my KVM-based production environment and provides all that you need in order to create, backup and restore instances. Note: I was told that it works pretty good even under XEN hypervisor.
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XCPU is a suite of tools for cluster management. It includes utilities for job starting, cluster resource management, scalable distribution of boot images as well as creation and control of virtual machines in a cluster environment.
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RainforestCluster
Dynamically manage Amazon EC2 clusters
RainforestCluster is an Amazon EC2 python program that manages and load-balances dynamic clusters to allow for maximum workflow flexibility and speed at minimal cost. It enables one to quickly and cheaply create dynamic compute clusters in the cloud, which can then run computational pipelines generically. It is also able to optimize the use of spot instances - idle computers in Amazon's cloud that are available at drastically reduced cost (5x-10x cheaper) - but can be terminated at any... -
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Phoenix Cluster Project is an open cluster architecture. It is built using Gentoo Linux with RootFS shared between all nodes of the cluster. The main components are: Torque/Maui, Network Raid, Ganglia, LAMP Platform, KVM and GLSL for GPGPU.
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PBS Cluster Viz is a project to display information useful to admins and users about a computing cluster managed by a PBS-compatible resource manager. Information includes load and job distribution. Interactive as well as static output is available.
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birgHPCC
Rapid CUDA Cluster Deployment
birgHPCC is a major improvement over birgHPC (http://sourceforge.net/projects/birghpc/). While retaining the major functions of the original birgHPC, including automated computing cluster conversion and auto slots detection, the new version (birgHPCC) is capable of creating and configuring a compute unified device architecture (CUDA) computing cluster, hence the extra “C” in the name. In addition to the increase in image size (less than 2 gigabytes) and a new Linux base (previously Debian, now Ubuntu), CUDA-capable bioinformatics software programs, such as NAMD, HOOMD-blue, VMD, GPU-HMMER and GPU-BLAST, are pre-installed in birgHPCC, along with the CUDA driver, libraries and software development kit (SDK). ... -
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hpc-sjm
Simple Job Manager
SJM is a tool for managing jobs running on a compute cluster with a job scheduler such as Sun Grid Engine or Platform LSF. Use it to manage dependencies between jobs, monitor job completion status, restart failed jobs without rerunning jobs that finished successfully, and more! -
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birgHPC is a Linux Live CD distribution based on PelicanHPC and Debian Live. birgHPC features automated cluster configuration on PCs in the same network specifically for bioinformatics and molecular dynamics. If you are looking for CUDA support, try birgHPCC (https://sourceforge.net/projects/birghpcc/) If you use birgHPC in your work, please cite us: Teong Han Chew, Kwee Hong Joyce-Tan, Farizuwana Akma and Mohd Shahir Shamsir. birgHPC: creating instant computing clusters for bioinformatics and molecular dynamics. ...
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Equalizer is the standard middleware to create parallel OpenGL-based applications. Please visit https://github.com/Eyescale for current development information.
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Scarlet is an extension for Atlassian JIRA, the leading Enterprise issue tracking and management software, allowing easy clustering of JIRA application instances, ensuring both high availability and linear scalability.
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This modular software package forms an integration point for Grid/Cloud/Cluster products. If provides several adapters which can easily be used to build complete Services/integrate products. It enables federation between multiple sites.
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This project provides an instant java cluster, a batch-processing application for tasks written in Java with automated class distribution. Go to http://javacluster.sourceforge.net/ to see more!
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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
