There is a newer version of tbbIntel(R) Threading Building Blocks (Intel(R) TBB) lets you easily write parallel C++ programs that take full advantage of multicore performance, that are portable, composable and have future-proof scalability.
Accessing tbb 2020.1-GCCcore-9.3.0
To load the module for tbb 2020.1-GCCcore-9.3.0 please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):
module load tbb/2020.1-GCCcore-9.3.0
BEAR Apps Version
The listed architectures consist of two part: OS-CPU.
- BlueBEAR: The OS used on BlueBEAR is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.
- BEAR and CaStLeS Cloud VMs: These VMs can have one of two OSes. Those with access to a BEAR Cloud or CaStLeS VM should check that the listed architectures for an application include the OS of VM being used. The VMs, irrespective of OS, will use the haswell CPU type.
For more information visit the tbb website.
This version of tbb has a direct dependency on: GCCcore/9.3.0
This version of tbb is a direct dependent of: LAMMPS/29Oct2020-foss-2020a-Python-3.8.2-kokkos LAMMPS/3Mar2020-foss-2020a-Python-3.8.2-kokkos LAMMPS/3Mar2020-fosscuda-2020a-Python-3.8.2-kokkos LAMMPS/29Oct2020-fosscuda-2020a-Python-3.8.2-kokkos MIRTK/20210104-foss-2020a-Python-3.8.2 MIRTK/20210104-fosscuda-2020a-Python-3.8.2 ROOT/6.24.06-foss-2020a-Python-3.8.2
These versions of tbb are available on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs). These will be retained in accordance with our Applications Support and Retention Policy.
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Last modified on 30th November 2020