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Workshops

HPE DSI regularly conducts various workshops. Below is the list of current workshops open for registration.

Current workshops

Data Analytics Using GPUs

Thursday, December 12 and Friday, December 13

8:45 a.m. - 4:30 p.m.

Data scientists in both industry and academia have been using GPUs for AI and machine learning to make groundbreaking improvements across a variety of applications in oil and gas, including reservoir characterization, signals, images processing and classification, and production systems analysis.

In particular, deep learning is an area that has experienced significant investment and research. Recently, two trends have sparked the use the deep learning within AI: the availability of massive amounts of training data, and powerful and efficient parallel computing provided by GPUs.

GPUs have become the processor of choice for processing big data for scientist.

In view of the impact of accelerating data analytics using GPUs, the HPE Data Science Institute will host a workshop focused on the interaction of the data science and industry communities. A series of lectures by prominent speakers will cover topics ranging from the role of data science in oil and gas to applications of GPU technologies.

This event will give attendees the opportunity to see data analytics and applications in practice.

View the full agenda.

Date: December 12 & 13, 8:45 a.m. - 4:30 p.m.

Location: Classroom and Business Building, CBB Room 120

SIGN UP 


Past Workshops

XSEDE HPC Workshops MPI

Tuesday, September 3, 2019 | Wednesday, September 4, 2019

10:00 am - 4:00 pm

HPE Data Science Institute will host a two day, XSEDE workshop to give C and Fortran programmers a hands-on introduction to MPI programming. Both days are compact, to accommodate multiple time zones, but packed with useful information and lab exercises. Attendees will leave with a working knowledge of how to write scalable codes using MPI – the standard programming tool of scalable parallel computing.

Date: September 3 & 4, 10-4 p.m.

Location: University of Houston - Agrawal Engineering Research Building, Room 202

XSEDE workshops

Data Science Bootcamp 

Engineering, business, science, politics and many others heavily utilize data for decisions making. Several topical, rapidly evolving and powerful data analysis techniques, designed to be comprehensive, with a gentle learning curve, have become available. A knowledge of these tools and techniques provides a competitive advantage: nowadays “Data Scientist” is the number one job posted in all HR systems. The DSI Data Science Bootcamp aims at providing an overview and a basic hands-on experience of some of the most popular data science methods and tools publicly available. Instructors will guide participants in the use Python to analyze data, create meaningful visualizations, and leverage statistics by using powerful machine-learning libraries such as Tensorflow. A taste of the programming language R for statistical computing will also be provided as well as the opportunity to work with some tutorials implemented by NVIDIA for accelerated computing data research.

When: August 14-16; 2018
Where: MREB 200
Who: This event is primarily meant for UH's industry partners and members of the Society of HPC Professionals.

Contact: Dr. Martin Huarte, mhuartee@central.uh.edu

Solving PDEs in Python: A FEniCS tutorial

FEniCS is an open-source finite element package with extensive list of features.
The workshop will contain tutorials on the use of FEniCS for solving PDE problems. We will cover hands-on tutorials in the following fields:

  • Reservoir and porous media simulations: Idealized enhanced oil recovery problem is generated step-by-step. You will be able to calculate total flux at the production well for various pressures at the injection wells. Also, solutions of different FE formulations are discussed.
  • Solid mechanics: Learn to solve a non-linear quasi-static problem with hyperelastic constitutive models
  • Bio fluid mechanics : A mesh is generated on a surface of vascular segment extracted from a patient MRI image. Using transient FE, you will model blood flow for cardiac cycles.

When: June 26-27; 2018 (from 1 pm to 4 pm)
Where: MREB 200
(Computers with necessary software will be available with valid UH account)
Who: Anyone interested in learning to use the FEniCS package.
(Participants are expected to have familiarity with scientific computing with Python)

Contact: Amit Amritkar (aramritk@central.uh.edu), Mohammad S. Joshaghani (msarrafjoshaghani@uh.edu)

Please find the event poster here.

Deep learning using Tensorflow

The Data Science Institute at UH will be hosting a deep learning workshop. From basics of deep learning to CNNs, come learn about the most popular deep learning package, Tensorflow.

What: Deep learning using Tensorflow
When: Monday and Tuesday (4/30 and 5/1) from 9:30 am to 12:30 am
Where: MREB 200 (Computers with necessary software will be available with valid UH account)
Who: Anyone interested in learning to use the Tensorflow package

CFD through OpenFOAM - advanced topics

March 13 & 15 2018,
1 pm to 4 pm,
MREB 200

Workshop Details - Learn about the advanced features of the free and open source software OpenFOAM. Download the poster. A basic understanding of CFD and command line interface is assumed.

Contact - Amit Amritkar (aramritk@central.uh.edu), Taher Chegini (tchegini@uh.edu)

CFD through OpenFOAM

23 & 25 January 2018,
1 pm to 4 pm,
MREB 200

Workshop Details - Learn about Computational Fluid Dynamics (CFD) through free and open source software OpenFOAM. Download the poster.

Contact - Amit Amritkar (aramritk@central.uh.edu), Taher Chegini (tchegini@uh.edu)