ODU HPC Environment
Welcome to the ODU HPC Systems
High Performance Computing (HPC) is the use of computer hardware and
software systems to do more computing in less real-time. HPC can be
achieved through a combination of advanced processor architecture,
parallel processing, and the availability of large amounts of memory and
disk space. To take full advantage of the advanced architecture of the
ODU HPC systems, your application must be developed or configured to
run in parallel mode. Parallel computing is the act of dividing and
distributing one large computational task into many smaller and relatively
independent tasks that are run simultaneously on different processors.
The HPC CLUSTER Environment
The SUN AMD clusters support MPI standards for parallel jobs that are managed via
the SGE workload management system.
The HPC SMP (Symmetric Multi-Processor) Environment
The Sun SMP systems are configured as a single system image. This
architecture allows a researcher to write a program that uses all
processors and all available memory. Several users can simultaneously
run, and each user can specify the number of processors required for
the job. These systems supports two of these parallel software development
standards: MPI (Message Passing Interface) and OpenMP.
These SUN SMP systems are accessed through a front end job submittal
login server, sol-login.lions2.odu.edu. Remote login is required to
access a login host. The compute jobs on the compute resources
are managed by the Sun Grid Engine (SGE) workload manager. The home
directories are managed by AFS, using Kerberos.
Research Mass Storage
