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