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
Alireza Aghasi
- Zachary.Munro
The research that Alireza Aghasi is doing is very computational and requires a lot of processing and memory. They basically deal with Electrical Resistance Tomography (ERT), for detection of contaminants under the surface of the earth. The problem ends up being a very high dimensional Inverse problem which is intensively ill-posed. Dealing with such a problem without appropriate processing power is impossible. Once they became aware of the cluster they started exploring it and realized that some features of it really help them with the processing speed. The excellent feature which really interested them was the good performance in sparse matrix calculations. Star-P does an excellent job dealing with very large sparse systems compared with other platforms. Personally they experienced some very good results using Star-P.
For additional information, please contact Research Technology Services at tts-research@tufts.edu