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 | CPU Cores | Node RAM | RAM per core | GPU Type | GPUs (per Node) |
GPU RAM | Local Disk |
Intel Xeon Gold 6248 |
224 | 2 x 20 | 384 GB | 9 GB | Nvidia Volta V100 | 2 | 32 GB | 3.8 TB |
Intel Xeon Platinum 8260 |
480 | 2 x 24 | 192 GB | 4 GB | NA | NA | NA | 4.4 TB |
Resource Allocations | ||||||||
Processor | Partition | Starting | Standard | |||||
Intel Xeon Gold 6248 |
xeon-g6-volta | 1 Nodes 40 Cores 2 GPUs |
6 Nodes 240 Cores 12 GPUs |
|||||
Intel Xeon Platinum 8260 |
xeon-p8 | 2 Nodes 96 Cores |
16 Nodes 768 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
- 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