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
Scott MacLachlan
- Zachary.Munro
Scott MacLachlan's group's research focuses on the development of mathematical and computational tools to enable large-scale computational simulations. They work on a diverse group of problems, including geophysical fluid dynamics, heterogeneous solid mechanics, and particle transport. The Tufts High-Performance Computing Research Cluster supports these activities in many ways. First, by providing significant parallel computing resources, it enables their development of mathematical algorithms and computational codes for challenging problems. For example, they have used the cluster to study parallel scalability of simulation algorithms for the deformation of heterogeneous concretes under load, with higher-resolution models than would otherwise have been possible. Furthermore, by providing access to cutting-edge computing resources, such as the new GPU nodes, they are able to participate in the computing revolution that is currently underway, re-examining the high-performance algorithms that have become the workhorses of the MPI-based parallel paradigm, and developing new scalable techniques that are tuned for these architectures.
For additional information, please contact Research Technology Services at tts-research@tufts.edu