Research Computing Core (FAS)
Director: Yockel, Scott
Location: 38 Oxford St, Cambridge, MA 02138
Research Computing (RC) facilitates the advancement of complex research by providing leading edge computing services across the Faculty of Arts & Sciences (FAS). RC staff maintain expertise in constantly changing computing technologies, while 'speaking the language' of the FAS researchers, to help them use computing more effectively.
Director: Yockel, Scott
|Facilities and Equipment:|
Location of Core: 38 Oxford St, Cambridge, MA 02138
- GNU Science Library
- MPI Libraries on Odyssey
- OpenGL & libGD on Odyssey
- OpenMP software on Odyssey
- Visualization Toolkit
- Consulting: Bioinformatics, Scientific Computing, Hardware and Software Purchasing
Research Computing’s staff has in-depth knowledge of a variety of scientific and technical disciplines, including:
* Bioinformatics – Research Computing’s bioinformatics core helps researchers conduct large-scale sequence analysis on the Odyssey cluster. The core provides high level biostatistics support, helping researchers determine the significance of results from high-throughput microarray experiments, as well as assists in interpreting the results of high-throughput sequencing, and annotating genomes.
* As data sets from instruments and computational analysis keep growing, Research Computing helps researchers mine and transform that data to make scientific conclusions. In a few hours – or sometimes just a few minutes, a programmer can write a script that saves a researcher months of work, allowing them more time for other scientific pursuits.
* Research Computing can provide faculty and other research staff with assistance in purchasing hardware and software that fit special computing needs. From storage equipment purchases to licenses for software packages, Research Computing can help facilitate the transaction with the vendor, and assist with installation and set-up.
- High Performance Computing
Research Computing provides faculty and researchers with the tools they need to take on large-scale computing challenges. Odyssey, Harvard’s largest supercomputer, offers users over 35 Petabytes of raw storage, more than 70,000 processing cores, and numerous software modules and applications. Research Computing can also host and create scientific applications not already on the Odyssey system.
- Multi-terabyte data storage
Multi-terabyte storage for labs at competitive rates, with different levels of access speed, stability, and backup capability.
- Progamming and sequencing classes and training
Occasional classes in using Linux, programming, Matlab, next-generation sequencing.
|Departmental Web Link(s):|