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What is Scientific Linux?

Scientific Linux, a project supported by Fermilab, is primarily aimed at the High Energy and High Intensity Physics sectors, although its reach spans multiple industries worldwide and even includes some space applications. This operating system can be seen as a reimagining of Red Hat Enterprise Linux, which is under the ownership of Red Hat Inc (NYSE:RHT), and is frequently referred to in communication as “The Upstream Vendor” or “TUV.” By adopting the TUV designation, we make it clear that Scientific Linux functions autonomously and is not officially linked to or endorsed by the upstream source, highlighting this key distinction. Tailored for stability, scalability, and extensibility, Scientific Linux plays a crucial role in supporting scientific research by providing tools that ease the integration of scientific applications within their operating systems. The initiative promotes the open exchange of concepts, designs, and implementations, all geared towards creating a solid computing foundation for future technological progress. This collaborative endeavor not only aims to enhance scientific computing but also aspires to drive innovations that have the potential to transform a variety of disciplines. In doing so, it creates an environment that allows researchers to push the boundaries of what is possible in their respective fields.

What is MPI for Python (mpi4py)?

In recent times, high-performance computing has become increasingly available to a larger pool of researchers in the scientific field than it ever has been before. The effective synergy of high-quality open-source software and reasonably priced hardware has played a crucial role in the widespread utilization of Beowulf class clusters and workstation clusters. Among the various approaches to parallel computation, message-passing has stood out as a notably efficient model. This approach is particularly advantageous for distributed memory systems and is heavily relied upon in today’s most challenging scientific and engineering tasks related to modeling, simulation, design, and signal processing. However, the environment for portable message-passing parallel programming used to be complicated, as developers had to navigate a multitude of incompatible choices. Fortunately, this scenario has vastly improved since the MPI Forum established its standard specification, which has simplified the development process considerably. Consequently, researchers are now able to dedicate more of their efforts to advancing their scientific research instead of dealing with the intricacies of programming. This shift not only enhances productivity but also fosters innovation across various disciplines.

Media

Media

Integrations Supported

C
C++
Fortran
NumPy
Ottomatik
Pinguzo
Python

Integrations Supported

C
C++
Fortran
NumPy
Ottomatik
Pinguzo
Python

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Scientific Linux

Date Founded

1991

Company Website

scientificlinux.org/about/

Company Facts

Organization Name

MPI for Python

Company Website

mpi4py.readthedocs.io/en/stable/

Categories and Features

Categories and Features

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