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Description
Boost your productivity and reduce development time with the IMSL numerical libraries. Leverage IMSL's build tools to attain your strategic goals effectively. With the IMSL library, you can perform tasks such as modeling regression, constructing decision trees, developing neural networks, and predicting time series. The IMSL C Numerical Library has been rigorously tested and trusted for decades across various sectors, providing businesses with a reliable, high-return solution for creating advanced analytics tools. It aids teams in rapidly incorporating complex features into their analytic applications, ranging from data mining and forecasting to sophisticated statistical analysis. Furthermore, the IMSL C library simplifies integration and deployment processes, ensuring smooth migrations and support for various popular platforms and combinations without requiring additional infrastructure for embedding in databases or applications. By utilizing IMSL libraries, organizations can enhance their analytical capabilities and remain competitive in an ever-evolving market.
Description
In recent years, high-performance computing has become a more accessible resource for a greater number of researchers within the scientific community than ever before. The combination of quality open-source software and affordable hardware has significantly contributed to the widespread adoption of Beowulf class clusters and clusters of workstations. Among various parallel computational approaches, message-passing has emerged as a particularly effective model. This paradigm is particularly well-suited for distributed memory architectures and is extensively utilized in today's most demanding scientific and engineering applications related to modeling, simulation, design, and signal processing. Nonetheless, the landscape of portable message-passing parallel programming was once fraught with challenges due to the numerous incompatible options developers faced. Thankfully, this situation has dramatically improved since the MPI Forum introduced its standard specification, which has streamlined the process for developers. As a result, researchers can now focus more on their scientific inquiries rather than grappling with programming complexities.
API Access
Has API
API Access
Has API
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Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
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Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Perforce
Country
United States
Website
www.imsl.com
Vendor Details
Company Name
MPI for Python
Website
mpi4py.readthedocs.io/en/stable/