Cori is NERSC's newest supercomputer system (NERSC-8). It is named after American biochemist Gerty Cori, the first American woman to win a Nobel Prize in science. The Cori system will be delivered in two phases with the first phase online now and the second expected in mid-2016. The Phase 1 system is a Cray XC based on the Intel Haswell multi-core processor and has a number of new features that will benefit data-intensive science. The second phase of the Cori system will be installed and merged with Phase 1 in mid-2016. Phase 2 will be based on the second generation of the Intel® Xeon Phi™ family of products , called the Knights Landing (KNL) Many Integrated Core (MIC) Architecture.
Before Cori can be released to users, it must be delivered, integrated with Phase I, and accepted. This page is the resource for the Cori upgrade and installation schedule. For the current status of Cori, please see the Cori Updates and Status page. Impact on NERSC Users While NERSC is making every effort to minimize inconvenience to users, there are some unavoidable downtimes of Cori Phase I for the upgrade of its operating system and integration with Cori Phase II. Cori Phase II Preparation… Read More »
Before you can use or access Cori, you must have an active NERSC account and valid password. If you don't, see Accounts and Allocations. Cori should be used in the following way: Log in to a "login" node, bring your files and data over, compile your code, and create a batch submission script. Then submit that script so that your application runs on the Cori "compute" nodes. Pay attention to the various file systems available and the choices in programming environments, and make sure you use… Read More »
Learn how to submit interactive and batch jobs using native SLURM on Cori compute nodes with example batch scripts. and how to monitor your job in the queue and job exit status. Also find information on OpenMP and MPI runtime settings as well as general application tuning options. Read More »
We expect many applications will need to make code modifications in order to run efficiently on Cori's Knights Landing manycore architecture. To run well on Cori, your application will need to have good thread scalability, take advantage of vectorization opportunities, and manage multiple hierarchies of memory effectively. Read More »