QCL Computational Resources

High Performance Computing (HPC)

XSEDE Supercomputing Allocations

XSEDE (Extreme Science and Engineering Discovery Environment) is the most advanced, powerful, and robust collection of integrated advanced digital resources and services in the world. QCL has two Campus Champions who are trained to help local users utilize supercomputing resources available through the XSEDE program. QCL awarded over 350,000 Service Units (SUs) from various national supercomputing facilities. The Service Unit (SU) is like a currency used to run an application on supercomputers. Supercomputer users are charged by SUs (hours of runtime on one core). For example, if an application ran on 100 cores for 10 hours, 1,000 SUs will be deducted from your account.

XSEDE Campus Champion Allocations (As of December 2020)

Name Facility Type SU (Core hours)
Comet SDSC Cluster 50000
Jetstream Indiana U Cluster 50000
Bridges PSC Cluster 50000
Bridges Large PSC Cluster 1000
Bridges Pylon PSC Cluster 500
Bridges GPU PSC Cluster/GPU 2500
Stampede2 TACC Cluster 1600
Oasis SDSC Storage 500
Ranch TACC Storage 500
Comet GPU SDSC Cluster/GPU 2500
OSG Multiple Virtual Cluster 200000

The Campus Champion allocations can be used to test computational research applications. To test out the supercomputers, please make an appointment with one of the Campus Champions (email: theqcl@cmc.edu).


A GPGPU (General Purpose Graphic Processing Unit) machine is a high performance computer system equipped with one or more GPUs. QCL has an NVIDIA DGX system having four Tesla V100 GPUs.

GPUs  4X Tesla V100 
TFLOPS (Mixed precision)  500 
GPU Memory  128 GB total system 
NVIDIA Tensor Cores  2,560 
NVIDIA CUDA Cores 20,480 
CPU Intel Xeon E5-2698 v4 2.2 GHz (20-Core) 
System Memory  256 GB RDIMM DDR4 
Data Storage Data: 3X 1.92 TB SSD RAID 0 
OS Storage OS: 1X 1.92 TB SSD 
Network Dual 10GBASE-T (RJ45) 


RStudio Server


We have a dedicated server machine for RStudio. Students taking a CMC course using R and a QCL workshop can get access. To get access to the RStudio Server, please contact qcl@cmc.edu for your account activated.

The RStudio Server is equipped with 2 CPUs (32 cores) and 512 GB of memory. So, it will perform better than your laptop or personal computer (for sure!) for those who need large memory space.