Systems and Software
This page is no longer being updated. Please see the SuperCloud System and Available Software Pages on our new Documentation Site at https://mit-supercloud.github.io/supercloud-docs/ for the most up to date information.
This page lists information about the system and available software, languages, compilers, modules, etc. This is only a partial list, so if there is anything you are interested in that isn’t listed here, please contact us.
MGHPCC TX-E1 Specifications
Summary | |||||||||
---|---|---|---|---|---|---|---|---|---|
Number of Nodes | 704 | ||||||||
Total CPU Cores | 32000 | ||||||||
Total GPUs | 448 | ||||||||
Distributed Storage | 873 TB | ||||||||
Individual Nodes | |||||||||
Processor | Nodes | Clock Rate | CPU Cores | Node RAM | RAM per core | Accelerator Type | Accelerators (per Node) | Accelerator RAM | Local Disk |
Intel Xeon Gold 6248 | 224 | 2.5 GHz | 40 | 384 GB | 9 GB | Nvidia Volta V100 | 2 | 32 GB | 3.8 TB |
Intel AVX512 vector unit | 80 | NA | |||||||
Intel Xeon Platinum 8260 | 480 | 2.4 GHz | 48 | 192 GB | 4 GB | Intel AVX512 vector unit | 96 | NA | 4.4 TB |
Resource Allocations | |||||||||
Processor | Partition | Starting | Standard | ||||||
Intel Xeon Gold 6248 | xeon-g6-volta | 1 Nodes (40 Cores 2 GPUs) | 4 Nodes (160 Cores 8 GPUs) | ||||||
Intel Xeon Platinum 8260 | xeon-p8 | 2 Nodes (96 Cores) | 8 Nodes (384 Cores) |
Available Languages
- Julia
- Python (Anaconda available through modules)
- Matlab(R)/Octave
- R
- C/C++
- Fortran
- Java
- Perl 5
- Ruby
Software
Machine Learning Tools
- Tensorflow
- Pytorch
Big Data Software Stack
- Hadoop
- Zookeeper
- Accumulo
Middleware Software Stack
- ARPACK
- ATLAS
- Boost
- BLAS
- FFTW
- GraphBLAS
- LAPAC
- OpenMPI
- OpenBLAS
Lincoln Laboratory Developed Software
Compilers
- gcc
- g++
- gfortran
- icc
Modules
To see the most up-to-date list of currently available modules, run the command module avail
. For more information about modules, see the module section on the Software and Package Management page