Bring High Performance Computing to Everyone in College of Engineering at Texas A&M University!
The Texas A&M Institute of Data Science invites you to attend the TAMIDS Data Science Webinars from Oct 15 to Oct 29, 2019. This webinar series is to introduce the fundamentals of data science (with python) to students and researchers from the Texas A&M University system.
Registration: FREE
More information of the webinars can be found at
FPGAs in the Era of AI and Big Data
by Lawrence Landis <lawrence.landis@intel.com>
102.B Student Computing Center, Texas A&M University
8:45AM – 5:00PM September 27th, 2019
Description:
Intel Programmable Logic Devices (FPGA) are used in a wide range of applications from industrial electronics, networking and AI acceleration. FPGAs are a staple of Electronic Engineering Curriculums due to their flexibility in describing electronic circuitry without requiring any semiconductor manufacturing tooling costs. Intel’s Programmable Solutions Group FPGA University Program engages with worldwide universities to promote FPGA education and research.
Learning Objectives:
Workshop Syllabus:
8:45 Registration
9:00: Lecture: FPGA applications and architecture, Quartus overview
10:00: Lab 1: Introduction to the Quartus Development Tool Suite using Verilog programming
11:15: Lecture: Embedded NIOS and Platform Designer
12:00: Lunch
1:00: Lab2: Embedded NIOS and Platform Designer
2:00: Lecture: High Level Design Usage Model for FPGAs – OpenCL and HLS
2:45: Lab3: High Level Design
3:30: Lecture: OpenVino overlay usage model
4:15: Lab4: OpenVino Vision and Neural Network Heterogeneous Computing
5:00 Conclude Workshop
Workshop Instructions:
The Quartus Lite free tool suite will be required for Labs 1 and 2. Please visit this site: http://fpgasoftware.intel.com/18.1/?edition=lite and install Quartus Prime and MAX 10 libraries.
TAMIDS is pleased to announce its Research Affiliates Program. The aim of the program is to increase internal and external visibility for Texas A&M Data Science researchers, and to involve them in developing and joining activities under the auspices of TAMIDS.
The TAMIDS Research Affiliates Program is open to all Texas A&M faculty (in tenure, professional, instructional, research, and other tracks), research scientists, postdoctoral researchers, and administration and operations staff and professionals, whose role and interests include Data Science. A separate affiliates program for graduate and undergraduate students will be announced later.
If you are interested in becoming a TAMIDS Research Affiliate, please complete the survey concerning interests in Data Science and TAMIDS activities at: forms.gle/kKeHwunUB6nvwvRB6
Information concerning affiliates will be added to the searchable listing at the TAMIDS website: https://tamids.tamu.edu/2019/06/21/tamids-research-affiliates/
We are pleased to invite you to the 3rd official Software Carpentry two-day workshop at Texas A&M University. Texas A&M AgriLife Genomics and Bioinformatics (TxGen), TAMU High Performance Research Computing (HPRC), TAMU Libraries, TAMU Departments of Atmospheric Sciences, Electrical and Computer Engineering (ECE), Geology and Geophysics (GGE), and Ecology and Evolutionary Biology (EEB) are collaborating to organize and hold this workshop.
This hands-on workshop is an introduction aimed at those with no previous experience, particularly graduate students, as well as faculty and researchers. Software Carpentry (SC) is a world renowned organization that was established in 1998 and teaches researchers the computing skills they need to get more done in less time and with less pain.
Attendees are required to bring their own laptops to fully benefit from the workshop.
Detailed information for the workshop:
Topics covered: Unix shell, Version Control with Git, Python Programming
Date: August 15-16, 2019
Instructors: Drs. Noushin Ghaffari (nghaffari@tamu.edu), Ramalingam Saravanan (sarava@tamu.edu) , David Bapst (dwbapst@tamu.edu), and Shichen Wang (shichen.wang@ag.tamu.edu)
Helpers: Dr. Jian Tao, (anyone who is interested to join us as a helper can contact Dr. David Bapst for more information. Being a helper in an official SCW is a requirement for becoming a Software Carpentry instructor.)
Where: Annex Library, Room # 405
Fee: $40 + Eventbrite fees
Registration link: https://bit.ly/2JBOl7k
Workshop webpage: https://tamu-carpentry.github.io/2019-08-15-TAMU/
NOTE: if you have any dietary preferences/restrictions please email us at least one week before the workshop.
Lunch, coffee and snacks will be provided. If you have any dietary preferences or restrictions, please let us know at least one week before the workshop.
Please do not hesitate to contact us if you have any questions or concerns. Make sure to include ALL the instructors in your email.
Best,
TAMU Software Carpentry Team
Instructor Bio:
Dr. Noushin Ghaffari is a senior member of bioinformatics team at Texas A&M AgriLife Genomics and Bioinformatics (TxGen), where she is involved in various projects from planning experiments to data analysis. She provides training for Texas A&M faculty/students/researchers on high performance computing, data analysis, bioinformatics and R programming. She is also a Research Scientist at TAMU HPRC.
Dr. Ramalingam Saravanan is a Professor in the Department of Atmospheric Sciences. He carries out research using supercomputers to run numerical models of weather and climate. He has contributed to open source software and has also been teaching Python to meteorology majors for over five years.
Dr. David Bapst, is an Assistant Instructional Professor in the department of Geology & Geophysics. David’s research focuses on quantitative analyses of the deep-time fossil record, a topic which has accidentally made a paleontologist into an avid R developer. He loves sharing his code with collaborators and the public via git and GitHub, and he hopes you will too.
Dr. Shichen Wang is a Bioinformatics Scientist in the AgriLife Research Genomics and Bioinformatics Service unit (TXGEN). His research focuses on high-throughput sequencing data analysis.
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
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:
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:
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.
Dr. Tao and his collaborator Dr. Fang Huang from the University of Electronic Science and Technology of China contributed a chapter on Large-Scale Remote Sensing Image Processing in the Encyclopedia of Image Processing published by the CRC Press in Nov 2018.
According to the publisher, “The Encyclopedia of Image Processing presents a vast collection of well-written articles covering image processing fundamentals (e.g. color theory, fuzzy sets, cryptography) and applications (e.g. geographic information systems, traffic analysis, forgery detection). Image processing advances have enabled many applications in healthcare, avionics, robotics, natural resource discovery, and defense, which makes this text a key asset for both academic and industrial libraries and applied scientists and engineers working in any field that utilizes image processing. Written by experts from both academia and industry, it is structured using the ACM Computing Classification System (CCS) first published in 1988, but most recently updated in 2012.”
The contribution by Dr. Tao and Dr. Fang Huang focuses on the new High Performance Computing technologies based on multiple cores, graphics processing units, Intel Many Integrated Cores, cloud computing, and big data computing platforms to process large-scale Remote Sensing images.
More information about the Encyclopedia of Image Processing can be found at Taylor & Francis web site at
Shaina D. Le is one of the TAMU team members who attended ASC18, one of three annual largest international student cluster competitions in the world.
Shaina submitted an article about her experiences at ASC18.
She will need your vote to get a surprise gift from the ASC organizer. Let’s surprise this hard-working Aggie girl!
Now, it’s your chance to vote for your favorite ASC experience report! One of the top 3 winners of our surprise gifts is to be selected from @SccTeamSegFAUlt @UniWarszawski @TAMU via twitter. And the other 2 winners via WeChat!
Read complete reports at: https://t.co/dWjF1XRhQS
— ASC HPC Challenge (@aschpc) January 17, 2019
With the support from Texas A&M Institute of Data Science, Texas Engineering Experiment Station, and Texas A&M High Performance Research Computing, Dr. Jian Tao at COE-HPC will teach a special topic course – ENGR 489 section 504 (CRN 36736) to undergraduate students on various subjects in High Performance Computing (HPC) and Big Data analytics in Spring 2019.
In this course, students will learn the fundamentals of HPC and parallel programming in a hands-on and project-based manner. In addition, they will build a functional HPC system with Raspberry Pi’s and run some benchmarks and real world applications. Each student will have access to one Raspberry Pi. After spending a week or two to get familiar with the Linux operating system and network management, students will form teams and start building smaller clusters and run some simple benchmarks. An introduction to Python programing language will be given to the students with a focus on its applications in scientific and engineering research. Students will be encouraged to practice computational thinking throughout the course. Two more weeks will be dedicated to introductory level Message Passing Interface (MPI) programming. Students shall then be able to write, compile, and test their MPI programs on their team clusters. By the end of the middle term, students will build a big cluster by linking all the Raspberry Pi’s together. In the next two weeks, students will carry out benchmark runs, discuss scheduling mechanisms to share such a cluster and learn to submit jobs managed by a queuing system. By the end of the semester, students will run some scientific and engineering applications on the cluster and carry out some performance analysis and tuning.
More about the course can be found here.
