• A complete Linux build environment (gcc, make, binutils)
• Our increased security features (iptables, fail2ban, custom configurations)
• OptimR Module for R version 4.3.0  
• 18210 of the 19637 CRAN currently available modules are installed. 
• Open Source (free) RStudio Shiny Server 1.5.20.1002 on port 3838
• RStudio Desktop version 2023.03.1-446
• RStudio Server (free) version 2023.03.1-446
  (user ubuntu has a default password your AWS instanceID)
• Microsoft JDBC Driver 6.0 for SQL Server in the directory /usr/local/drivers/
• Licensed Intel Distribution for Python (versions 2.7.14 & 3.6.3)Performance accelerations: Scikit-learn with Intel® Data Analytics Acceleration Library (Intel® DAAL), fast Fourier transforms in SciPy and Numpy, universal functions (ufuncs) can use multiple cores and Single Instructions Multiple Data (SIMD), and neural network enhancements for pyDAAL
  Tech preview: High-level Python API for Intel® DAAL

OptimR Module for R version 4.3.0 

PAF version 4.3.0 includes the latest release of R (4.3.0) optimized and compiled with open source Message Passing Interface (Open MPI 4.1.5.1) support. Our code examples run twice as fast as the same code running under conventionally compiled R on only a single core. The performance is likely even better in multi-core environments. This could have a considerable impact on your calculation, but, like any computing, it depends on exactly what you are doing.

As with any interpreted language invoked under Linux the way to use the compiled R we provide is through use of the shebang syntax.
To use PAF optimized R this start scripts with this shebang line:

#!/usr/local/bin/Rscript

Note: the version of R we have added to the operating system is under /usr/local/.

Intel Corporation Python 2.7.14 can be found at:

 /opt/intel/intelpython2/bin/python2

Intel Corporation Python 3.6.3 can be found at:

/opt/intel/intelpython3/bin/python33.