Search Results for "high performance computing" - Page 4
Sort By:
Showing 88 open source projects for "high performance computing"
View related business solutions-
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.
-
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
-
1
A lightweight framework to capture, analyze, and publicize health, performance, and monitoring statistics for Java applications. Easily adaptable to other application monitoring packages.
-
2
MyVIA is sub-project of THVIA project. MyVIA is a high performance user-level communication library. It is a user-level net driver for Myrinet high performance network. Please visit our homepage and send email to me: chyyuu@yahoo.com OR chyyuu@sohu.com
-
3
Cos provides a high level interface to application developers wishing to manipulate objects stored in a corportate wide data source lightweight data entries are manipulated by services that are able to appear and dissapear across the network as needed.
-
4
High-performance computing code and libraries used in the High Performance Computing subject in Telecommunications Engineering at the University of Granada (http://geneura.ugr.es/~jmerelo/asignaturas/AAP)
-
Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
-
5
A generic java based distributed performance testing platform specifically for testing clustered or distributed applications and or frameworks. The framework itself is clustered and coordinated with www.terracotta.org
-
6
-
7
Hydra Cache is a distributed cache implementation based on the design of Amazon Dynamo. Hydra is designed to provide a highly available, scalable, reliable and decentralized distributed cache solution for large high performance enterprise application.
-
8
An implementation of a high performance distributed storage and processing system for large amounts of structured data.
-
9
The Open Distributed Framework project is aimed at developing an open-source, cross-platform framework for distributed, high-performance physical modelling and simulation.
-
$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
-
10
Latis is a distributable storage engine for the semantic web. We plan to build a cross-platform, high-performance server that enables users to build private clouds which are protocol-compatible with popular web service offerings from Google & Amazon.
-
11
Jupp is a Distributed Hash Table focusing on high throughput. It's main characteristics are: 1. Mechanisms for congestion control 2. O(log n) routing for arbitrary peer distributions in the ID space.
-
12
RingFS
RingFS - Distributed Data Storage
RingFS is a network distributed file system which is fault tolerant and has no centralized meta-data store. It spreads data over network storage servers and provides single namespace. The design of RingFS aims to build a huge data storage with redundancy, linear performance increase with rock-solid stability. -
13
Pluster is a cluster management software developed with python. It is easy to install and maintain. Pluster Provides cluster performance monitoring and remote OS installing. It's future will be an agent-based management system.
