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This training is designed to give you an overview of Research Computing resources, procedures and best practices. You will learn how to log in, request allocations, store and transfer data (including Globus), load software, run a job and ask for help. This is an interactive seminar. To participate in the interactive portion, you must have an RC account already set up with Duo authentication. Dial-In Information Registration is required. Zoom information will be sent in the confirmation email.
In this talk we introduce the shared and distributed parallel computer architectures and the multi-threaded and multi-tasked execution models on these architectures. We follow by listing various programming approaches applicable to multi-threading and multi-tasking. First we discuss the basics of OpenMP and MPI, as used in the Fortran and C/C++ programming languages. Then we follow with parallelization approaches in higher level languages, such as Python, R and MATLAB. We will conclude by introducing software development tools that can help with debugging and optimizing parallel programs. Supplementary Material: IntroPar19f.pdf https://utah.zoom.us/j/4111783659 meeting ID 411 178 3659 To call in: +1 408 638 0968 +1 646 876 9923 +1 669 900 6833
In this talk an introduction to the R language will be given. We will discuss the following basic R building blocks: R data types, vectors, matrices, list, data frames, functions, control structures In the second part of the talk we will also discuss how to use R on the CHPC clusters, how to install R packages, etc. https://utah.zoom.us/j/4111783659 meeting ID 411 178 3659 To call in: +1 408 638 0968 +1 646 876 9923 +1 669 900 6833