COE HPC

Bring High Performance Computing to Everyone in College of Engineering at Texas A&M University!

Workshops

Linux, Bash, Awk, and Sed Workshops Next week (July 15 & July 19)

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Linux, Bash, Awk and Sed Workshops

Offered by the Laboratory for Molecular Simulation and High Performance Research Computing
Cost: Free

Introduction to Command-line Linux: cover the basics of working command-line with hands-on exercises.

Monday July 15: 1:00 – 2:00 pm
or
Friday July 19: 9:00 – 10:00 am

Introduction to Bash, Awk, and Sed: covers the basics of bash scripting and the data manipulation utilities Awk and Sed, including hands-on exercises.

Monday July 15: 2:00 – 4:00 pm
or
Friday July 19: 10:00 am – 12:00 pm

Click here to register

Texas A&M Data Science Bootcamp

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Description

Texas A&M Institute of Data Science, Texas A&M High Performance Research Computing, and Texas Engineering Experiment Station invite you to attend a two-day hands-on data science camp on Augest 19 and 20, 2019. This camp is to introduce the fundamentals of data science to students and researchers from Texas A&M University, Blinn College, and Minority Serving Institutions in Texas.

Place: ILSB auditorium

Time: 8:30AM – 5:00PM Aug 19 – Aug 20

Registration:

There is a $40 registration fee (plus Eventbrite fee) to cover the breakfast, refreshments, and lunch for two days. Travel and accomendation are on your own.

In order to encourage more students from Minority Serving Institutions in Texas to pursue tech positions and career growth, the registration charge will be $20 (plus Eventbrite fee) for students from Texas Minority Serving Institutions (https://www2.ed.gov/about/offices/list/ocr/edlite-minorityinst-list-tab.html).

Refund Policy:

You can cancel the registration and receive refund on or before Aug 12th (a week before the bootcamp).

Prerequisites:

Familiarity with the basic programming, fundamentals such as functions and variables.

You are encouraged to attend the 3rd Software Carpentry Workshop at Texas A&M on Aug 15-16 to learn some basic research computing skills before the data science bootcamp.

https://tamu-carpentry.github.io/2019-08-15-TAMU/

Agenda:

Day one (Aug 19):

08:30 – Registration and breakfast

09:00 – Introduction to Data Science – Part I (lecture)

10:20 – Break (refreshments)

10:30 – Introduction to Data Science – Part II (lecture)

12:00 – Lunch (provided)

13:00 – Introduction to Python for Data Scientists (lecture)

14:50 – Break (refreshments)

15:00 – Data Analysis with Pandas and Numpy (hands-on lab)

16:30 – Wrap-up

Day two (Aug 20):

08:30 – Registration and breakfast

09:00 – Data exploration and visualization – Part I (lecture + hands-on lab)

10:20 – Break (refreshments)

10:30 – Data exploration and visualization – Part II (lecture + hands-on lab)

12:00 – Lunch (provided)

13:00 – Machine learning with Scikit-learn – Part I (lecture + hands-on lab)

14:50 – Break (refreshments)

15:00 – Machine learning with Scikit-learn – Part II (lecture + hands-on lab)

16:30 – Wrap-up

Workshop Instructions:

1. Please bring your own laptop.

2. Make sure that WebSockets works on your laptop:

  • Test your laptop at http://websocketstest.com
  • Under ENVIRONMENT, confirm that “WebSockets” is checked yes.
  • Under WEBSOCKETS (PORT 443), confirm that “Data Receive,” “Send,” and “Echo Test” are checked yes.

Parking:

If you are driving, please refer to the instructions on the Texas A&M Transportation Services website for the details about the parking for visitors.

http://transport.tamu.edu/Parking/visitor.aspx

This data science camp is supported in part by the National Science Foundation under Grant No. 1925764.

This data science camp is brought to you by:

Introduction to Google Cloud Platform (Webinar)

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Texas A&M Institute of Data Science invites you to attend a webinar on Google Cloud Platform (GCP) on March 20th, 2019 from 10:30AM to 11:30AM. This webinar is to help you understand the overall landscape of GCP. You’ll take a brief look at some of the commonly used features that GCP has to offer. Texas A&M attendees will be given $100 of GCP credits for free. The webinar link will be sent via email before the event.

Presenter: Jaclyn Rosenthal is a junior Management Information Systems and Business Honors Student, minoring in Cyber Security and Economics at Texas A&M University. For the past year, Jaclyn has served as a Google Cloud Platform Student Innovator. In this role, Jaclyn introduces students, faculty, and staff to GCP, and hosts events to further teach them how to utilize the platform.

Register Now!

NVIDIA DLI Deep Learning for Computer Vision Workshop at Texas A&M

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Register Now!

The NVIDIA Deep Learning Institute (DLI), Texas A&M Institute of Data Science, Texas A&M High Performance Research Computing, and Texas Engineering Experiment Station invite you to attend a hands-on deep learning workshop on December 14th, 2018 from 8:30AM to 5:00PM at the ILSB Auditorium exclusively for verifiable academic students, staff, and researchers.

NVIDIA DLI offers hands-on training for developers, data scientists, and researchers looking to solve challenging problems with deep learning and accelerated computing.

About This Workshop:

In this hands-on course, you will learn the basics of deep learning by training and deploying neural networks. You will:

  • Implement common deep learning workflows such as Image Classification and Object Detection.
  • Experiment with data, training parameters, network structure, and other strategies to increase performance and capability.
  • Deploy your networks to start solving real-world problems.

On completion of this course, you will be able to start solving your own problems with deep learning.

Prerequisites:

Familiarity with the basic programming, fundamentals such as functions and variables.

NVIDIA DLI Certification:

Through built-in assessments, participants can earn certification to prove subject matter competency and support professional career growth.

Workshop Agenda:

08:30 Registration (breakfast provided)

09:00 Deep Learning Demystified (lecture)

10:00 Image Classification with DIGITS (hands-on lab)

12:00 Lunch (provided)

13:00 Object Detection with DIGITS (hands-on lab)

14:50 Break (refreshments & soft drinks)

15:00 Neural Network Deployment with DIGITS and TensorRT (hands-on lab)

17:00 Wrap-up

Training Syllabus

  • DLI Lab #1: Image Classification with DIGITS

    Learn how to leverage deep neural networks (DNN) within the deep learning workflow to solve a real-world image classification problem using NVIDIA DIGITS. You’ll walk through the process of data preparation, model definition, model training and troubleshooting, validation testing and strategies for improving model performance using GPUs.

On completion of this lab, you will be able to use NVIDIA DIGITS to train a DNN on your own image classification application.

 

  • DLI Lab #2: Object Detection with DIGITS

    Many problems have established deep learning solutions, but sometimes the problem that you want to solve does not. Learn to create custom solutions through the challenge of detecting whale faces from aerial images by:
  • Combining traditional computer vision with deep learning.
  • Performing minor “brain surgery” on an existing neural network using the deep learning framework Caffe.
  • Harnessing the knowledge of the deep learning community by identifying and using a purpose built network and end-to-end labeled data.

Upon completion of this lab, you will be able to solve custom problems with deep learning.

 

  • DLI Lab #3: Neural Network Deployment with DIGITS and TensorRT

    Deep learning allows us to map inputs to outputs that are extremely computationally intense. Learn to deploy deep learning to applications that recognize images and detect pedestrians in real time by:
  • Accessing and understanding the files that make up a trained model
  • Building from each function’s unique input and output
  • Optimizing the most computationally intense parts of your application for different performance metrics like throughput and latency

Upon completion of this Lab, you will be able to implement deep learning to solve problems in the real world.

Workshop Setup Instructions:

1. Create an NVIDIA Developer account at http://courses.nvidia.com/join. 

2. Make sure that WebSockets works for you:

  • Test your laptop at http://websocketstest.com
  • Under ENVIRONMENT, confirm that “WebSockets” is checked yes.
  • Under WEBSOCKETS (PORT 80), confirm that “Data Receive,” “Send,” and “Echo Test” are checked yes.

3. If there are issues with WebSockets, try updating your browser. We recommend Chrome, Firefox, or Safari for an optimal performance.

4. Once onsite, visit http://courses.nvidia.com/dli-event and enter the event code provided by the instructor.

REGISTER NOW

This workshop is brought to you by: NVIDIA, TAMIDS, HPRC, and TEES.

NVIDIA Deep Learning Institute Workshop at Texas A&M

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As part of the NVIDIA Deep Learning Institute (DLI) University Ambassadorship program, HPRC and College of Engineering are offering the Fundamentals of Accelerated Computing with CUDA C/C++ workshop at no cost to Texas A&M students, staff, and researchers. This intensive hands-on workshop is complementary to the existing Introduction to CUDA short course offered by HPRC.

  • Time: Friday, November 9, 11:30AM-2:00PM
  • Location: SCC 102.B
  • Prerequisites: Experience with C or C++

The CUDA computing platform enables the acceleration of CPU-only applications to run on the world’s fastest massively parallel GPUs. Experience C/C++ application acceleration by:

  • Accelerating CPU-only applications to run their latent parallelism on GPUs
  • Utilizing essential CUDA memory management techniques to optimize accelerated applications
  • Exposing accelerated application potential for concurrency and exploiting it with CUDA streams
  • Leveraging command line and visual profiling to guide and check your work
  • Upon completion, you’ll be able to accelerate and optimize existing C/C++ CPU-only applications using the most essential CUDA tools and techniques. You’ll understand an iterative style of CUDA development that will allow you to ship accelerated applications quickly.

Tao Granted NVIDIA Deep Learning Institute University Ambassadorship

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Dr. Jian Tao has been granted NVIDIA Deep Learning Institute (DLI) University Ambassadorship. DLI Ambassadors are a select group of DLI Certified Instructors committed to teach DLI workshops and host DLI lab meetups at universities, academic conferences, and events at no cost to attendees (academic students, staff, and researchers only). The COE HPC team will be leveraging the resources and opportunities offered in this academic-industry collaboration to promote HPC education for both undergraduate and graduate students at A&M Engineering. We will offer training opportunities for research staff and faculty members to catch up with the latest computing technologies with the support from NVIDIA. 

The following is a basic list of the benefits and Ambassador contributions of the program.

Ambassador Benefits:

  • Free DLI Instructor Certification ($1000 value)
  • Ability to bring free, world-class DL training to your academic community using proven DLI cloud-based training platform and lecture materials (avg. $2000 compute value per workshop)
  • Formal badge recognition for DLI University Ambassador status
  • Reimbursement for catering and travel expenses up to $500 per hosted DLI event (reimbursement requests submitted with receipts). 
  • Access to the DLI Ambassador Event Kit for best practices guides, “Train-the-Trainer” assets, event promotion assets, and workshop slide deck content
  • Early access to new DLI Teaching Kits and free cloud-based GPU platforms for students in curriculum courses

Improve your HPC skills through the Blue Waters Webinars

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The National Center for Supercomputing Applications’ (NCSA) popular Blue Waters Webinar series kicks off its 2018 offerings on Wednesday, January 24. The free NCSA Blue Waters Webinars are designed to increase high performance computing (HPC) knowledge and skills among the research community.

All webinars are broadcast on YouTube and recorded for viewing anytime. Registered participants will receive the link to the live broadcast and will be able to ask questions during the presentation using NCSA’s Blue Waters Slack channel. All webinars are held on Wednesdays and begin at 10 AM Central Time. Most webinars generally run one hour.

Upcoming webinars include:

  • January 24 – NumFOCUS: An approach to sustaining major scientific software projects by Andy Terrel, President of NumFOCUS
    • A discussion about NumFOCUS, a non-profit focused on open-source scientific computing.
  • January 31 – Blue Waters Overview by Blue Waters Project Office
    • Members of the Blue Waters staff will provide an overview of the Blue Watersresources and services, and guidelines for submitting requests for allocations.
  • February 7 – Machine Learning by Aaron Saxton, NCSA
    • The webinar will provide a walk through the pipeline of image feature detection on the Blue Waters supercomputer.
  • February 14 – Software Sustainability by Daniel S. Katz, NCSA
    • A discussion of the work of six WSSSPE workshops that have brought together communities to focus on software sustainability in high performance computing.
  • February 28 – Analysis and Visualization with yt by Matt Turk, NCSA
    • A presentation of the yt data analysis and visualization software from a high-level, with hands-on examples of how to extract information from datasets.

Additional webinars will continue to be added throughout the year. Suggestions for topics and offers to present content are welcome. Please send your suggestions to bw-eot@ncsa.illinois.edu.

Additional details about the NCSA Blue Waters Webinars and a registration form are available at https://bluewaters.ncsa.illinois.edu/webinars.

About Blue Waters

Blue Waters is one of the most powerful supercomputers in the world. Located at the University of Illinois, it can complete more than 1 quadrillion calculations per second on a sustained basis and more than 13 times that at peak speed. The peak speed is almost 3 million times faster than the average laptop.  Blue Waters is supported by the National Science Foundation and the University of Illinois; the National Center for Supercomputing Applications (NCSA) manages the Blue Waters project and provides expertise to help scientists and engineers take full advantage of the system for their research.

The Blue Waters sustained-petascale computing project is supported by the National Science Foundation (awards OCI-0725070, ACI-0725070 and ACI-1238993) and the state of Illinois.

About NCSA

The National Center for Supercomputing Applications (NCSA) at the University of Illinois at Urbana-Champaign provides supercomputing and advanced digital resources for the nation’s science enterprise. At NCSA, University of Illinois faculty, staff, students, and collaborators from around the globe use advanced digital resources to address research grand challenges for the benefit of science and society. NCSA has been advancing one third of the Fortune 50 for more than 30 years by bringing industry, researchers, and students together to solve grand challenges at rapid speed and scale.

Scaling to Petascale Institute

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https://bluewaters.ncsa.illinois.edu/petascale-summer-institute

Argonne Leadership Computing Facility (ALCF), the Blue Waters project at the National Center for Supercomputing Applications (NCSA), National Energy Research Scientific Computing Center (NERSC), Oak Ridge Leadership Computing Facility (OLCF), and the Texas Advanced Computing Center (TACC) are organizing a free, week-long institute. The goal is to prepare participants to scale simulations and data analytics programs to petascale-class computing systems in support of computational and data-enabled discovery for all fields of study.

Organizers are working to engage a large national audience. This will be accomplished by streaming the sessions to a number of collaborating organizations using full-duplex audio/video connections. Sessions will be also webcast on YouTube live, although with a lower level of support for the participants.

Participants must register to attend one of the host sites or to watch the sessions on YouTube.

Recordings of the presentations will be made publicly available after the institute is completed.

Parallel Programming Foundations Institute at TACC – July 31-August 4, 2017

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Parallel Programming Foundations Institute at TACC – July 31-August 4, 2017

From: Jason Allison
This 5-day workshop will provide participants with an introduction to developing parallel applications for modern HPC systems. Participants will learn about profiling and optimizing applications, concepts for domain and data decomposition, developing shared-memory parallel applications using OpenMP and distributed-memory parallel applications using MPI, creating hybrid OpenMP/MPI applications for modern manycore architectures, and debugging parallel applications. Hands-on exercises done on the new Stampede2 supercomputer at TACC will help participants to better understand lecture concepts using concrete examples on modern hardware.

 Price for students, faculty, and academic researchers is $400.

 Registration details and full agenda can be found at:
https://www.tacc.utexas.edu/education/institutes/parallel-programming-foundations