FFTW

Software Summary

Mesabi

Default Module: 

3.3.10-openmpi-4.1.5-gcc-8.2.0-hqsg6dp

Other Modules Available: 

3.3.10-intel-oneapi-mpi-2021.3.0-gcc-13.1.0-mvavls5, 3.3.10-openmpi-3.1.6-gcc-7.2.0-gziooqw, 3.3.10-openmpi-3.1.6-gcc-7.2.0-holwjem, 3.3.10-openmpi-4.1.5-gcc-7.2.0-m2hj5e7, 3.3.10-openmpi-4.1.5-gcc-8.2.0-6amq6fq, 3.3.10-openmpi-4.1.5-gcc-8.2.0-hqsg6dp, 3.3.10-double-nvhpc-21.1, 3.3.10-double-nvhpc-24.5-rocky8, 3.3.10-double-ompi-4.1.5-gnu-11.3.0-rocky8, 3.3.10-double-ompi-4.1.1-gnu-9.2.0, 3.3.10-single-ompi-4.1.1-gnu-9.2.0, 3.3.6-double-impi-intel-2018-release, 3.3.6-double-intel-2018-release, 3.3.6-double-ompi-3.0.0-gnu-7.2.0.CentOS7, 3.3.6-double-ompi-3.1.2-gnu-5.4.0.CentOS7, 3.3.6-double-ompi-3.1.2-gnu-7.2.0.CentOS7, 3.3.6-double-ompi-3.1.2-gnu-8.2.0, 3.3.6-single-ompi-3.1.2-gnu-5.4.0.CentOS7, 3.3.8-double-intel-2019-update1-avx2, 3.3.8-double-intel-2019-update1.CentOS7, 3.3.8-double-mvapich-2.3.5-gnu-8.2.0, 3.3.8-double-ompi-3.1.6-gnu-5.4.0, 3.3.8-double-ompi-3.1.6-gnu-8.2.0, 3.3.8-double-ompi-4.0.0-gnu-8.2.0.CentOS7, 3.3.8-double-ompi-4.0.0-intel-2019-update1-avx2, 3.3.8-double-ompi-4.0.0-intel-2019-update1.CentOS7, 3.3.8-single-mvapich-2.3.5-gnu-8.2.0, 3.3.8-single-ompi-3.1.6-gnu-5.4.0, 3.3.8-single-ompi-3.1.6-gnu-8.2.0, 3.3.8-single-ompi-4.0.0-gnu-8.2.0, 3.3.5-double-impi-5.1.3.223-intel-2016-update3, 3.3.5-double-intel-2016-update3, 3.3.6-double-gnu-7.2.0, 3.3.6-double-impi-5.1.3.223-intel-2016-update3, 3.3.6-double-impi-intel-2018-release, 3.3.6-double-intel-2016-update3, 3.3.6-double-intel-2018-release, 3.3.6-double-intel-2018-release-with-omp, 3.3.6-double-ompi-3.0.0-gnu-7.2.0

Last Updated On: 

Friday, August 2, 2024

Mesabi K40

Default Module: 
Other Modules Available: 
Last Updated On: 

Mangi

Default Module: 
3.3.10-openmpi-4.1.5-gcc-8.2.0-hqsg6dp
Other Modules Available: 

3.3.10-intel-oneapi-mpi-2021.3.0-gcc-13.1.0-mvavls5, 3.3.10-openmpi-3.1.6-gcc-7.2.0-gziooqw, 3.3.10-openmpi-3.1.6-gcc-7.2.0-holwjem, 3.3.10-openmpi-4.1.5-gcc-7.2.0-m2hj5e7, 3.3.10-openmpi-4.1.5-gcc-8.2.0-6amq6fq, 3.3.10-openmpi-4.1.5-gcc-8.2.0-hqsg6dp, 3.3.10-double-nvhpc-21.1, 3.3.10-double-nvhpc-24.5-rocky8, 3.3.10-double-ompi-4.1.5-gnu-11.3.0-rocky8, 3.3.10-double-ompi-4.1.1-gnu-9.2.0, 3.3.10-single-ompi-4.1.1-gnu-9.2.0, 3.3.6-double-impi-intel-2018-release, 3.3.6-double-intel-2018-release, 3.3.6-double-ompi-3.0.0-gnu-7.2.0.CentOS7, 3.3.6-double-ompi-3.1.2-gnu-5.4.0.CentOS7, 3.3.6-double-ompi-3.1.2-gnu-7.2.0.CentOS7, 3.3.6-double-ompi-3.1.2-gnu-8.2.0, 3.3.6-single-ompi-3.1.2-gnu-5.4.0.CentOS7, 3.3.8-double-intel-2019-update1-avx2, 3.3.8-double-intel-2019-update1.CentOS7, 3.3.8-double-mvapich-2.3.5-gnu-8.2.0, 3.3.8-double-ompi-3.1.6-gnu-5.4.0, 3.3.8-double-ompi-3.1.6-gnu-8.2.0, 3.3.8-double-ompi-4.0.0-gnu-8.2.0.CentOS7, 3.3.8-double-ompi-4.0.0-intel-2019-update1-avx2, 3.3.8-double-ompi-4.0.0-intel-2019-update1.CentOS7, 3.3.8-single-mvapich-2.3.5-gnu-8.2.0, 3.3.8-single-ompi-3.1.6-gnu-5.4.0, 3.3.8-single-ompi-3.1.6-gnu-8.2.0, 3.3.8-single-ompi-4.0.0-gnu-8.2.0, 3.3.5-double-impi-5.1.3.223-intel-2016-update3, 3.3.5-double-intel-2016-update3, 3.3.6-double-gnu-7.2.0, 3.3.6-double-impi-5.1.3.223-intel-2016-update3, 3.3.6-double-impi-intel-2018-release, 3.3.6-double-intel-2016-update3, 3.3.6-double-intel-2018-release, 3.3.6-double-intel-2018-release-with-omp, 3.3.6-double-ompi-3.0.0-gnu-7.2.0

Last Updated On: 

Friday, August 2, 2024

Mangi v100

Default Module: 
Other Modules Available: 
Last Updated On: 

NICE

Default Module: 
Other Versions Available: 
Last Updated On: 
Last Updated On: 

Friday, August 2, 2024

Support Level: 
Primary Support
Software Access Level: 
Open Access
Software Categories: 
Numerical Libraries
Software Description

FFTW is a free collection of fast C routines for computing the Discrete Fourier Transform in one or more dimensions.  It includes complex, real, and parallel transforms, and can handle arbitrary array sizes efficiently.  FFTW is typically faster than other publically-available FFT implementations, and is even competitive with vendor-tuned libraries.  To achieve this performance, FFTW uses novel code-generation and runtime self-optimization techniques.  The FFTW package was developed at MIT by Matteo Frigo and Steven G. Johnson.  More information can be found at the web site: www.fftw.org.

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