This session is a general introduction to how to use UCLA Hoffman2 Cluster. The objective is to familiarize current and potential cluster users with the Hoffman2 Cluster, so they can make the best use of UCLA computational resources. The following topics will be covered: How to access and login to the Hoffman2 Cluster, primarily in terminal/command-line mode. Exploration of how to run various computational tasks on or from the Hoffman2 Cluster, illustrated by hands-on example transcripts. A brief introduction to…

We will discuss how to effectively run jobs on Hoffman2 cluster. Hoffman2 cluster serves a wide spectrum of user applications and is almost always heavily loaded. Different kinds of jobs impose conflicting conditions in terms of job scheduling, given available computing resources. We will first review the components of Hoffman2 cluster, the shared cluster model, followed by fundamentals of using it’s job scheduler, Univa Grid Engine. Then a number of use cases will be discussed in details. The materials covered…

MPI (message passing interface) is the de facto standard for distributed-memory parallel scientific computing. While the entire MPI API is quite extensive, this class will cover a number of key ingredients commonly used in practice. This class is useful for those who plan to start writing MPI code, and for those who would like to know how MPI works in order to operate an existing MPI code. Working knowledge of C and Fortran programming languages will be very helpful to…

Part-I session of Computing Environment on Linux class is aimed to help researchers who are new to Linux system. This two hour session will introduce basic Unix/Linux commands, shells, as well as a few editors available on most of the flavors of Linux operating system. The  user should be able to log in to a Linux system and use it to do normal tasks after going through this session.

The second session of the Computing Environment on Linux is about the use of the Linux system for computation. It will describe the compilation and execution procedures for a given source program. A sample software code will be used to demonstrate the computing tools, such as makefile, debugger, and profiler, available on most flavors of the Linux environment.