Search Results for "computer science projects"
Sort By:
Showing 27 open source projects for "computer science projects"
View related business solutions-
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.
-
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.
-
1
OpenHMS brands a collection of projects and many subprojects developed by Health Market Science. This is a robust collection of development libraries, APIs, and tools oriented around data manipulation and professional software development.
-
2
Unified Sessions Manager
Pioneering Private and Public Cloud Management since 2008
The UnifiedSessionsManager supports the integrated management of user sessions within Private-Clouds, comprising heterogeneous IT landscapes of various physical and virtual machines, hypervisor management, and virtual user sessions with remote desktops. Extracted documents see https://sourceforge.net/projects/ctys-doc. -
3
The Grid Programming Environment (GPE) turns a collection of computer systems into a Grid and provides graphical user interfaces and interoperable GridBeans for application development. It supports Globus Toolkit and Unicore-based infrastructures.
-
4
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/
-
Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
-
5
neuranep
Neural Network Engineering Platform
A parallel-programming framework for concurrently running large numbers of small autonomous jobs, or microthreads, across multiple cores in a CPU or CPUs in a cluster. NeuraNEP emulates a distributed processing environment capable of handling millions of microthreads in parallel, for example running neural networks with millions of spiking cells. Microthreads are general processing elements that can also represent non-neural elements, such as cell populations, extracellular space, emulating... -
6
mapgraph
Massively Parallel Graph processing on GPUs -- now part of Blazegraph
Mapgraph is SYSTAP’s disruptive new technology to exploit the main memory bandwidth advantages of GPUs. The early work was co-developed with the University of Utah SCI Institute and has its pedigree in the UINTAH software running on over 750M cores on the TITAN Super Computer. Today, SYSTAP has commercialized this technology into it’s Blazegraph Accelerator and Blazegraph HPC products. Checkout our options for GPU acceleration of graphs or contact us to learn more: ... -
7
ReorJS
Distributed Computing with JavaScript
Create your own distributed computer that can distributed javascript based applications to any computer with a web browser, headless browser or node.js installation. For more information and updates please see our website - http://reorjs.com. -
8
TaskManager
TaskManager manages calculation jobs in a computer cluster environment
TaskManager is an open source infrastructure software for distributing and managing calculation jobs in a Unix computer cluster environment. The TaskManager was designed to control the utilization of a set of hosts even if you are not the administrator of the system. The hosts are embedded in a Unix environment and the user's home directories are mounted on each host. The hosts may have different numbers of CPUs/cores and different kernels. Keep in mind that a user is able to log into each... -
9
Experiment Design and Administration for Computer Clusters. Latest source code on http://github.com/edacc
-
8 Monitoring Tools in One APM. Install in 5 Minutes.AppSignal works out of the box for Ruby, Elixir, Node.js, Python, and more. 30-day free trial, no credit card required.
-
10
-
11
Portable Linux
Portable Ubuntu Linux for Scientific Computing
Released August 22, 2013 Lubuntu Blends: Biochemistry 13.04 (Raring) v5.44 Linux Kernel Image 3.8.0-29 Lubuntu Blends are pre-installed Wubi disk image remixes of Ubuntu and Debian Science meta packages, A custom boot loader allows installations to be copied and automatically booted from most external or USB flash drives. Once up and running, use earlier Lubuntu Remix README instructions here until documentation is updated. https://sourceforge.net/projects/portable-linux/files/ Installation 1. Download the Wubi installer http://releases.ubuntu.com/saucy/wubi.exe 2. ... -
12
SINGHAL mutual exclusion in FreeBSD
Design and Implementation of the Singhal token based mutual exclusion
[ Design and Implementation of the Singhal token based mutual exclusion algorithm in kernel-space of FreeBSD ] | Data & Network Security Lab (DNSL) | Room 501, Floor 5, | Department of Computer Engineering | Sharif University of Technology | Azadi Ave., Tehran, Iran Vahid Khodabakhshi <vkhodabakhshi@ce.sharif.edu> Vahid Ranjbar <vranjbar@ce.sharif.edu> Also see the Acknowledgement file Please send bugs to our e-mail -
13
Cube Platform is a distributed system over p2p based in Java. Cube Platform allow users to share CPU-resources allowing the creation of computer alliances for resolve a big problems.
-
14
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
-
15
JAva DIstributed Framework provides a secure and flexible Framework for distributed grid and volunteer computing applications (separate client & server Framework). For more informations take a look at the project page http://jadif.sourceforge.net
-
16
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
-
17
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.
-
18
The Simple Light-weight Infrastructure for Network Computing (SLINC) is a framework for developing Public Resource Computing (PRC) projects. The main goal of SLINC is to make the PRC project development process as easy and flexible as possible.
-
19
PARASOL
PARASOL is a C library for implementing computer-system simulations.
PARASOL is a C library for implementing simulations of computer systems. It supports a simulated, user-configured, multiprocessor environment on which user-written software (in C or C++) is executed. -
20
ghack ("grid hack") is meant to allow small groups of people to voluntarily share their computer resources to work on collective problems. Goals are: easy to use (e.g. scientific coders), easy to deploy (e.g. no elevated priviliges or open firewall ports
-
21
IslandEv distributes a Genetic Algorithm (like <a href="/projects/jaga">JaGa</a>) across a network (see <a href="/projects/distrit">DistrIT</a>) using an island based coevolutionary model in which neighbouring islands swap migrating individuals every
-
22
Simulator of massively parallel computer cluster with minimal nodes. Loosely based around available information regarding Chuck Moore's c18/25x core/chip designs. Machine Forth based MISC NOSC nodes, mesh interconnection.
-
23
MKS CORE SYSTEMS DEVELOPMENT * Project and Knowledge Management System * Collaborative Messaging and integrated Workflow engine * On-line voting, scoring and reviews * Template based Project Creation * Tree-based Knowledge Mapping
-
24
The NEO Project uses the NEO-c (Network Exchange Operation for Charity) platform to participate in various computing challenges and projects, and donates any winnings to the charities specified by its users.
-
25
The MathForge Application Environment provides users a broad range of Java-based math tools (calculation, visualization, presentation and communication via MathML) and allows developers to leverage existing code while extending MathForge.
