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
Albert Tai
- Zachary.Munro
Albert Tai is the manager and primary Bioinformatician of the TUCF Genomics Core, overseeing the operation of three deep sequencing instruments (Illumina HiSeq 2500, MiSeq, and Roche 454 Titanium FLX), and their associated services. As part of these services, he provides primary and secondary data analysis services, and or training associated with these analysis. Deep sequencing generates a large amount of data per run and data analysis requires a significant amount of computing resources, both processing and analytical storage. The high performance research cluster and its associated storage is an essential tool for him and the users of core facility. The parallel computing capability allow them to analyze large data sets in a timely manner. It also expedites troubleshooting processes, which sometime require them to test multiple analytical parameters on a single data set. As the amount of data generated in biological research increases, high performance computing resources has become an essential resource. He would certainly hope to see the expansion of this crucial computing resource.
For additional information, please contact Research Technology Services at tts-research@tufts.edu