The Tufts High Performance Compute (HPC) cluster delivers 35,845,920 cpu hours and 59,427,840 gpu hours of free compute time per year to the user community.
Teraflops: 60+ (60+ trillion floating point operations per second) cpu: 4000 cores gpu: 6784 cores Interconnect: 40GB low latency ethernet
For additional information, please contact Research Technology Services at tts-research@tufts.edu
Umma Rebbapragada
- Zachary.Munro
Umma Rebbapragada is a Ph.D. student in computer science, studying machine learning. Their research requires them to run experiments in which they test their methods on different data sets. For each data set, they may need to search for or test a particular set of input parameters. For each particular configuration of the experiment, they will need to perform multiple runs in order to ensure their results are statistically significant, or create different samplings of their data. In order to test a wide variety of configurations across multiple data sets, they exploit the cluster's ability to run "embarrassingly parallel" jobs. They have submitted up to 2000 jobs at a time, and have them finish within hours. This has allowed them to test new ideas quickly, and accelerated their overall pace of research. They have different software demands depending on the project they are working on. These include Java, shell, perl, Matlab, R, C and C++. Fortunately, these are all well-supported on the cluster. They also plan to explore MPI one day and take advantage of products like Star-P, which are available on the cluster.
For additional information, please contact Research Technology Services at tts-research@tufts.edu