Search Results for "cluster computing" - Page 2
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Showing 81 open source projects for "cluster computing"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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Nebula-Python-SDK
A python SDK for managing Nebula container orchestrator
...Nebula container orchestrator aims to help devs and ops treat IoT devices just like distributed Dockerized apps. It aim is to act as Docker orchestrator for IoT devices as well as for distributed services such as CDN or edge computing that can span thousands (possibly even millions) of devices worldwide and it does it all while being open-source and completely free. Nebula imposes no limits on the scale of the cluster, each component in it is designed to scale out to allow millions of workers to be managed by it. Designed to connect to devices that are spread around the globe Nebula is tolerant of network connection issues and will resync the device when it reconnects. ... -
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Nebula docs
Documentation repo of nebula orchestration system
Nebula is a open source distributed Docker orchestrator designed for massive scales (tens of thousands of servers/worker devices), unlike Mesos/Swarm/Kubernetes it has the ability to have workers distributed on high latency connections (such as the internet) yet have the pods(containers) be managed centrally with changes taking affect (almost) immediately, this makes Nebula ideal for managing a vast cluster of servers\devices across the globe, some example use cases are appliances\virtual appliances located at clients data centers, edge computing, and POS systems. Ever wandered how your going to push an update to that smart fridge your company is working on as it's thousands of devices around the globe? wish you could have the assurance that your service will always use the latest code\envvars\etc in all of it's edge locations? ... -
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Nebula worker
The worker node manager container which manages nebula nodes
Nebula is a open source distributed Docker orchestrator designed for massive scales (tens of thousands of servers/worker devices), unlike Mesos/Swarm/Kubernetes it has the ability to have workers distributed on high latency connections (such as the internet) yet have the pods(containers) be managed centrally with changes taking affect (almost) immediately, this makes Nebula ideal for managing a vast cluster of servers\devices across the globe, some example use cases are IoT devices, appliances\virtual appliances located at clients data centers, and edge computing. Nebula imposes no limits on the scale of the cluster, each component in it is designed to scale out to allow millions of workers to be managed by it. Designed to connect to devices that are spread around the globe Nebula is tolerant of network connection issues and will resync the device when it reconnects. ... -
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Nebula reporter
The optional reporter container which reads nebula reports from Kafka
Nebula is an open source-distributed Docker orchestrator designed for massive scales (tens of thousands of servers/worker devices), unlike Mesos/Swarm/Kubernetes it has the ability to have workers distributed on high latency connections (such as the internet) yet have the pods(containers) be managed centrally with changes taking effect (almost) immediately, this makes Nebula ideal for managing a vast cluster of servers\devices across the globe. Ever wandered how your going to push an update... -
Streamline Azure Security with Palo Alto Networks VM-SeriesImprove your security posture and reduce incident response time. Use the VM-Series to natively analyze Azure traffic and dynamically drive policy updates based on workload changes.
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rest-dev-vnc-docker
Restful / SOAP API Development with common tools in VNC/noVNC Docker
The idea is to use Docker with VNC/noVNC to aggregate all the needed and related Developments tools/IDEs within a single Docker as an agile way to stand up specific collections of tools quick within a Container quick computing needs. REST Development (this GIT) to cover end-to-end needs from JSON/XML, REST connection, Swagger, MongoDB, Test, etc. The use-cases of this kind of VNC/noVNC docker container is just limited by your imaginations and your device or network limitations. Virtually... -
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BeakerX
Beaker Extensions for Jupyter Notebook
BeakerX is a collection of kernels and extensions to the Jupyter interactive computing environment. It provides JVM support, Spark cluster support, polyglot programming, interactive plots, tables, forms, publishing, and more. BeakerX supports Groovy, Scala, Clojure, Kotlin, Java, and SQL, including many magics. Widgets for time-series plotting, tables, forms, and more (there are Python and JavaScript APIs in addition to the JVM languages). -
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Python/xarray tutorial
Python/xarray tutorial for GEOS-Chem users
If the page is loaded successfully, you should see a Jupyter notebook interface. Then, click on the first notebook to get started. Jupyter combines Python code, execution results, plots, custom texts, and even Latex formulas in a single page. Besides using the Jupyter program, you can also view the static notebook on GitHub (e.g the first notebook). Python is free & open-source so can be easily installed on any machines. To best way to get the scientific Python environment is using the Conda... -
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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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EvalAI
Evaluating state of the art in AI
...We allow the creation of an arbitrary number of evaluation phases and dataset splits, compatibility using any programming language, and organizing results in both public and private leaderboards. Certain large-scale challenges need special computing capabilities for evaluation. If the challenge needs extra computational power, challenge organizers can easily add their own cluster of worker nodes to process participant submissions while we take care of hosting the challenge, handling user submissions, and maintaining the leaderboard. EvalAI lets participants submit code for their agent in the form of docker images which are evaluated against test environments on the evaluation server. ... -
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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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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DMTK
Microsoft Distributed Machine Learning Toolkit
The Microsoft Distributed Machine Learning Toolkit (DMTK) is an open-source framework created to support scalable machine learning across distributed computing environments. Developed by Microsoft Research, the toolkit provides infrastructure and algorithms designed to train large models efficiently on clusters of machines rather than a single system. At its core is a parameter-server architecture called Multiverso, which manages model parameters and synchronizes updates across distributed... -
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JavaCá&Lá
A java middleware for HPC and IoT
The Java Cá&Lá (or just JCL - www.javacaela.org) is a middleware that integrates high performance computing (HPC) and Internet of things (IoT) in a unique API. It enables asynchronous remote method invocation and distributed shared memory services over multicore computer architectures or over multicomputer clusters. Sensing services are also feasible in JCL IoT version. An API for internal control enables collecting several times and memory usage of tasks submitted to the JCL cluster. ... -
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CUDA-MEME
Ultrafast scalable motif discovery algorithm using GPU computing
mCUDA-MEME is a well-established ultrafast scalable motif discovery algorithm based on MEME (version 4.4.0) algorithm for multiple GPUs using a hybrid combination of CUDA, MPI and OpenMP parallel programming models. This algorithm is a further extension of CUDA-MEME (based on MEME version 3.5.4) with respect to accuracy and speed and has been tested on a GPU cluster with eight compute nodes and two Fermi-based Tesla S2050 (and Tesla-based Tesla S1070) quad-GPU computing systems, running the Linux OS with the MPICH2 library. The experimental results showed that our algorithm scales well with respect to both dataset sizes and the number of GPUs. At present, OOPS and ZOOPS models are supported, which are sufficient for most motif discovery applications. ... -
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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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Summingbird
Streaming MapReduce with Scalding and Storm
Summingbird is a streaming + batch hybrid computation framework developed by Twitter. Its aim is to let developers express data aggregation pipelines in a unified way, where the same logic can run either in real time (stream) or in batch mode, and the results can be merged or reconciled. In effect, Summingbird abstracts over multiple execution engines (such as Storm, Scalding, etc.) to provide one high-level program that composes transformations and aggregations, and then executes them in... -
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2. Tune kernel Ridge MM (HPC parallel)
Shell/R program which tunes kernel Ridge by parallel computing
A shell/R program for HPC Linux clusters which allows users to estimate the optimal rate of decay parameter for kernel Ridge regression, within the mixed model framework, for prediction. The optimal rate of decay is estimated using K-folds cross validation parallelized using cluster nodes. -
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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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Automated Proteomics Pipeline
A front end for several popular open source proteomics tools
APP automates and allows distributed computing of common proteomics tasks using a java-front end to provide both GUI and server parts. It is highly recommended for use with the Trans Proteomic Pipeline but this is not a requirement. -
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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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Octree Method For Particles
simulation of particles using an oct-tree
...I realized that simulating a very large number of particles in e.g. electromagnetic sims can run into growing i/o demands. This is a way to overcome that hurdle. the low-level "octets" can be distributed among a cluster of computers, organized in a grid. they don't have to send each other their whole dataset - only a zoomed out image of it. the further away, the more zoomed out. thus, i/o traffic is greatly reduced. combine this with the fact that it's an O(N) algorithm, and what you get is an accurate particle-based physics simulator whose simulation speed scales with the number of particles per compute unit even for VERY large particle counts and VERY large computing arrays. ... -
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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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JUMMP
JUMMP: Job Uninterrupted Maneuverable MapReduce Platform
...Use of this project for research requires citation of our paper. W.C. Moody; L. Ngo; E. Duffy; A. Apon; "JUMMP: Job Uninterrupted Maneuverable MapReduce Platform", Cluster Computing (CLUSTER), 2013 IEEE International Conference on , 23-27 Sept. 2013
