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 | 224 | ||||||
| Total CPU Cores | 8960 | ||||||
| Total GPUs | 488 | ||||||
| Distributed Storage | 873 TB | ||||||
| Individual Nodes | |||||||
| Processor | Nodes | CPU Cores | Node RAM | GPU Type | GPUs (per Node) |
GPU RAM | Local Disk |
| Intel Xeon Gold 6248 | 224 | 2 x 20 | 384 GB | Nvidia Volta V100 | 2 | 32 GB | 3.8 TB |
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
- 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