Paraview is an open-source cross-platform program for interactive scientific visualization. Paraview can run as a stand-alone visualization tool, as well as in a client-server fashion for remote visualization. In this tutorial, we will explore the visualization pipeline and basic features in Paraview. We will show how to prepare data files from scratch. We will demonstrate…
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programming
Learning Convolutional Neural Networks (2)
This workshope will be the second lecture on the introduction to convolutional neural network. We will continue our learning on how to apply data augmentation and transfer learning techniques to get a better solution for the classic Dogs-vs-Cats problem using PyTorch. The knowledge of topics covered in the previous sessions is assumed. Working experience of Python, Jupyter Notebooks and linear algebra will be helpful.
Practical Parallel Computing Part 2: MPI Programming
This is Part 2 of a 3-part series. It focuses on how to write (basic) MPI programs. We will discuss the basic send/receive MPI communication mechanisms and explore their connections to select problems in scientific computing. We will show examples of calling MPI from different languages, including Fortran, C/C++, Python and Julia.
Make and Makefiles
Make and makefiles can be used to automate the compilation of source code into executable programs, the execution of analysis scripts on data files, the production of data visualizations, and the combination of analyses and figures to create papers and publications. Make is useful because it can execute a complex sequence of commands but also…
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Practical Parallel Computing Part 1: Running MPI Programs
This is Part 1 of a 3-part series. This part explores various aspects of the MPI runtime/process management system, and how it interacts with the job scheduler of a HPC cluster. We will cover both Intel MPI/MPICH and OpenMPI libraries, and use Hoffman2 cluster as a target machine. Given a MPI program (either your own code, or a community/research code), what are the things that you can adjust/control in order to run the code “optimally” on the target machine?
Multiple Imputation in R
Please REGISTER in advance here. Workshop will be conducted in Zoom in PST time. Invites are sent out the day before the workshop. The purpose of this workshop is to discuss commonly used techniques for handling missing data and common issues that could arise when these techniques are used. In particular, we will focus…
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Introduction to Photogrammetry and Mobile LiDAR Scanning
Please REGISTER in advance here. Workshop will be conducted in Zoom in PST time. Invites are sent out the day before the workshop. 3D models can be formed in a number of ways. Two common surveying methods that result in 3D models are photogrammetry and light detection and ranging or lidar for short. A…
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Parallel Computing using MPI and Julia
This workshop will discuss the basics of MPI (message passing interface), and several distributed-memory parallel numerical computing examples using MPI. The Julia language will be used in the examples. It would be straightforward to translate the Julia examples into other languages, such as C and Fortran, if desired.
Learning Scikit-Learn
As machine learning gains more and more popularity in science and technology in recent years, scikit-learn becomes one of the must-have libraries in the general machine learning toolbox. In this lecture we will present an in-depth introduction to scikit-learn python library. Prerequisite knowledge for the workshop includes Python programming and basic machine learning concepts.
Numerical Computing using Julia
This workshop will illustrate using the Julia language in data-driven modeling and computations. More detailed description will be posted here soon.