Search Results for "parallel" - Page 3
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Showing 62 open source projects for "parallel"
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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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AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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nVidia CUDA and MPI python wrappers. These wrappers are written in pure C no swig or boost necessary. The CUDA wrapper exposes the CUDA runtime and Driver API's.
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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
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PyGWA is a GPGPU library for Python. It contains Python bindings for AMD CAL and PyGWA.DP - a toy data-parallel programming API.
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The PyAALib-JyAALib project is a Python-Java/Jython implementation of the Asynchronous Action Framework based on Pure Object Oriented Concepts. The Massive Parallel Framework in Python Language - Full Compatible with Jython-JAVA
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Application Monitoring That Won't Slow Your App DownFull APM with errors, performance, logs, and uptime monitoring. 99.999% uptime SLA on the platform itself.
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PyLife is an implementation of the game of life algorithm featuring parallel programming. It uses MPI and python to achieve a consistent software architecture and reliably performance.
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Executable UML command-line interpeter and metamodel. Intended future import-export compatibility for proprietary xtUML and iUML metamodels and model compilers. Emphasis on analysis/implementation separation and parallel processing implementations.
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Datawarehouse process workflow server and generator of datawarehouse mappings. It allows to define dependencies between tables or files and processes and according to these metadata it runs processes in parallel.
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The aim of the OpenGrid project is to enable personal high-performance grid computations. More specific, issues of configuration, deployment, controlling and monitoring of embarrassingly parallel computations are addressed.
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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.
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"Pythonic" is a collection of Python extensions, modules, and software. Independent modules include abstract data types (adt), a massively parallel discrete event simulator (lramm), and a python messaging service (pms).
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The Minions programming language makes it easy to write performant, highly parallel programs. Minions are especially good at web apps. Minions like the web.
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The LisBON Framework is an adaptable framework for developing new parallel Memetic Algorithms (hybrid search algorithms for efficiently solving optimisation problems).
