Ecosystem for Research Networking

ERN @ PEARC'24
2024-07-21 08:00 - 2024-07-25 17:00 (America/New_York)
PEARC’24 is being held July 21-25, 2024, in Providence, RI, and ERN will be participating in the activities listed below discussing ERN and our recent projects. We look forward to seeing you there.

Tuesday, July 23

Community of Communities

Co-Location Event

12:30 PM – 2:00 PM Ballroom C

Panelists: Dana Brunson – Internet2, Tom Cheatham – CARCC, Sandra Gesing – US-RSE, Forough Ghahramani – Campus Champions, John Goodhue – MGHPCC, Julie Ma – Open OnDemand, Henry Neeman – Virtual Residency Program, Andy Sherman – CAREERS, Barr von Oehsen – ERN

The Community of Communities (CoCo) working group envisions connecting communities of RCD++ (Research Computing and Data, broadly defined) professionals. The working group advocates for the role of RCD professionals in a way that such professionals can find organizations that align with their interests and goals, exchange experiences to further their knowledge, expertise, and skill sets, and enable them to feel part of a community that values and incentivizes their work. A key goal of the group is to develop a comprehensive mapping of the RCD ecosystem and guide people to suitable activities and projects/initiatives in the ecosystem such as CaRCC, Campus Champions, US-RSE (to name a few, but by no means an exhaustive list). These connections may be of particular interest to those just starting out in RCD or those looking to build collaborative relationships.The CoCo working group grew out of the Community of Communities Working Group associated with the NSF CI Workforce Development Workshop in 2020. This CoCo recruiting event invites everyone interested and part of the RCD ecosystem to participate, connect, and share experiences, defining collaboration possibilities and developing a vision for the future of the RCD ecosystem.

Wednesday July 24

The Evolving ERN Cryo-EM Federated Instrument Pilot Project

Systems & Software Track Session 611:50 AM – 12:00 PM Room 553 A&B

Authors: Maureen Dougherty, Barr von Oehsen, Jason Kaelber, Jeremy Schafer, Bala Desinghu, Morgan Ludwig and John Goodhue

The Ecosystem for Research Networking (ERN) CryoEM Remote Instrument Access Pilot Project addresses the challenges and barriers facing the transition of instrument-driven science self-contained islands to federated wide-area internet accessible instruments. This project’s goal is to facilitate cross-institutional infrastructure sharing at the interface of computing and electron microscopy through a web portal leveraging federated access to one or more instruments, workflows/pipelines utilizing edge computing in conjunction with advanced computing, along with real-time monitoring for experimental parameter adjustments and decision making. The intent is to foster team science and scientific innovation, with emphasis on under-represented and under-resourced institutions, through the democratization of scientific instruments. This paper presents a short summary of some of the challenges encountered with the latest development efforts of this active project, creating a FABRIC Cloudlet and incorporating Pittsburgh Supercomputing Center’s Bridges-2 as an advanced computing option.

Enhancing Research Infrastructure and Workforce Diversity in Higher Education through Strategic Collaboration and Investment – PEARC24

Workforce Development, Training, Diversity and Education Track Session 312:10 PM – 12:25 PM Junior Ballroom

Authors: Forough Ghahramani, Sunita Kramer, Barr von Oehsen, Maureen Dougherty and John Hicks

Many smaller and under-resourced institutions, including MSIs, HSIs, HBCUs, and EPSCoR institutions, are engaged in significant science research and education and recognize the value of enhanced access to advanced computing resources. Collaborations, shared resources, and expertise from local, regional, and national levels can substantially support their internal efforts. The Ecosystem for Research Networking (ERN) Broadening the Reach (BTR) working group is actively learning from these institutions on how to better support their needs. The group’s findings and recommendations, derived from community engagement, will be shared, as part of the NSF-sponsored CC*CRIA grant OAC-2018927.

The Ecosystem for Research Networking Summit
2024-04-11 00:00 - 2024-04-12 23:59 | Pittsburgh Supercomputing Center, 300 S. Craig St., Pittsburgh, PA, 15213, United States
Pittsburgh Supercomputing Center, 300 S. Craig St.Pittsburgh, PA 15213

PRESENTATIONS, REPORTING & PAPERS FROM THIS MEETING

ERN Summit 2024 Agenda (all times are EDT)

ERN Summit 2024 Presenter Bios

The Ecosystem for Research Networking (ERN) Summit provides the scientific and cyberinfrastructure research community an opportunity to come together and discuss ERN mission and accomplishments, hear from domain researchers and CI professionals at smaller institutions about the successes and challenges related to leveraging local, regional, and national resources for projects, and learn about funding resources and partnership opportunities, as well as regional and national communities. There will be open discussions and conversations on focus areas and policies as they pertain to areas of community interest including AI, quantum, Big Data, cybersecurity and protecting data, research instruments, workforce development, education and training. The ERN is interested in the democratization of research instruments and gaining a better understanding from the community during this summit will be important as we move forward with future projects.

This year’s keynote speaker will be Dr. Jim Martin, NSF Equal Opportunities in Science and Engineering Committee member, and Vice Chancellor for STEM Research and Innovation at the University of Pittsburgh. There will also be several NSF program directors participating on the “Role of Funding Agencies” panel on our first day, and there will be a ERN Cloudlet installation workshop on day two.

ERN CryoEM Remote Instrument Access – Cloudlet Installation workshop

The ERN CryoEM Remote Instrument Pilot Project is developing a secure, easy to use, web-based portal for federated access to remote scientific instruments. The ERN Cloudlet implementation provides an Open OnDemand portal for scientific instrument access, workflows utilizing edge computing and advanced analytics through either local or remote cluster resources like Pittsburgh Supercomputing Center. This three hour workshop will introduce this developing project, and participants will learn how to install, configure and customize an ERN Cloudlet on a FABRIC node slice to access a simulated scientific instrument. Concepts covered will include security, containers, containerized Open OnDemand, authentication methodology and CILogon, workflows through applications, edge-computing, ansible, data management, user namespace, FABRIC nodes, and cluster resources and access.

ERN Summit 2024 is supported by NSF CC* CRIA grant (OAC-2018927)

ERN@SC23
2023-11-12 08:00 - 2023-11-17 17:00
November 12 – November 17

I am HPC

https://sc23.supercomputing.org

The Ecosystem for Research Networking (ERN) is designing and implementing a prototype open source, edge computing platform to democratize access to scientific research instruments, provide networking research computing resources including quantum computing, handle massive data sets produced by research instruments such as cryogenic electron microscopes (cryo-EM), support computational and storage infrastructure. This developing project aims to promote collaborations in scientific discovery remotely accessing these remote instruments and resources by reducing obstacles and challenges, particularly for under-served and non-R1 institutions. The design leverages Open OnDemand, containers, instrument edge processing with “cloudlets”, Cryo-SPARC and FABRIC. ERN is planning live demonstrations at SC23.

Please click on event title to view the agenda here.

ERN All Hands Meeting 2023
2023-03-23 00:00 - 2023-03-24 23:59 | University of Delaware
VIEW PRESENTATIONS FROM THIS EVENT

The Ecosystem for Research Networking (ERN) All Hands Meeting (AHM) gives the scientific and cyberinfrastructure research community an opportunity to come together and discuss ERN accomplishments, successes, and challenges related to projects, collaborations and partnerships, and ERN Working Groups’ efforts. There will be open discussions and conversations on collaboration opportunities, future working groups, funding opportunities, focus areas and policies as they pertain to areas of community interest including the Big Data movement, cybersecurity and protecting data, research instruments, applications for ERN, education and training.

Your engagement in these activities is important to the ERN community, and why we strongly encourage you to attend in person. To add to that encouragement, we have travel expense assistance funds available through our NSF CC* CIRA grant for on-site attendees who may have difficulty with covering travel costs. To ensure the broadest community participation possible, for those who simply are unable to attend in person, we are offering a virtual option for the plenary presentations and a virtual break out session. We strongly encourage in-person attendance to receive the fullest experience, enhance our discussions and explore new relationships with fellow researchers outside of the general meeting sessions.

Location: Audion at Star Campus:540 S College Ave, Newark, DE 19713

Agenda

(all times are EDT)

Day 1

8:00 – 8:30 Meet and Greet Breakfast

9:00 – 10:30 Hands On Activities – Part 1

Overview – Bala Desinghu, Rutgers University

OSN – Christopher Simmons, MGHPCC

Pegasus – Mats Rynge, University of Southern California

10:30 – 10:45 Break

10:45 – Noon Hands On Activities – Part 2

FABRIC – Paul Ruth, University of North Carolina, Chapel Hill

ERN Remote Instrumention demo –

Maureen Dougherty, Ecosystem for Research Networking

Jason Kaelber & Bala Desinghu, Rutgers University

Noon – 1:00 Lunch

1:00 – 1:15 Welcome & Introductions

1:15 – 1:30 Purpose of this AHM

1:30 – 2:15 Keynote – Democratization of Research

Speaker Alan Bletecky – The Missing Millions

2:15 – 3:30 State of the ERN

Architecture and Federation

Broadening the Reach

Structural Biology, Materials Discovery, CS, and Next Steps

3:30 – 4:00 Break

4:00 – 4:30 End of Day 1 Wrap-up

5:30 – 7:00 Reception

Day 2

8:00 – 9:00 Meet and Greet Breakfast

9:00 – 9:15 Welcome and set tone for the rest of the morning

9:15 – 10:15 Breakout Groups – Discussion Topics: Collaboration Opportunities, Future Working Groups, Funding opportunities, Focus areas, Policies

Big Data movement, Cybersecurity and Protecting Data, Research Instruments, Applications for ERN, Education and Training

10:15 – 10:45 Break

10:45 – 11:30 Open Discussion – Summary of Breakout Groups

11:30 – Noon Action items and Final Thoughts

Feel free to extend this invitation to your colleagues in academia, industry, government and not for profit organizations who may benefit from the sessions and ERN collaboration.

Any questions, let us know via email at info@ern.ci.

Thank you,

The ERN Steering Committee

ERN @ SC22
2022-11-14 00:00 - 2022-11-18 23:59 | University of Delaware
Attending SC22?

SC22, the International Conference for High Performance Computing, Networking, Storage, and Analysis, takes place November 14 – 18 in Dallas, TX.

For those planning to attend, ERN invites you to come and learn the latest about the ERN Cryo-EM Federated Instrument Pilot Project, providing remote access to a transmission electron microscope (TEM) enabling the ability to remotely workflow starting with a sample to determining the structure.

Monday, November 14, from 1:30 – 5 PM, D555

“The ERN Cryo-EM Federated Instrument Pilot Project: Phase 1” paper presentation.4th Annual Workshop on Extreme-Scale Experiment-in-the-Loop Computing (XLOOP). (registration is required)

Tuesday, November 15 from 10:00 AM – 12 Noon, and Wednesday, November 16 from 3:15 PM – 5 PM, Rutgers booth #305

Booth presentation with live demo access to TFS FIB Aquilos device

Exhibit Hall Hours: Massachusetts Green High Performance Computing Center(MGHPCC) booth #4101, and Rutgers booth #305

Short video demonstration of TFS Talos Atrica Transmission Electron Microscope workflow

HPEC '22
2022-09-19 00:00 - 2022-09-23 23:59
The 26th Annual IEEE High Performance Extreme Computing Conference (HPEC ’22) will be held as a virtual conference on Sept. 19 – 23, 2022.
HPEC is the largest computing conference in New England and is the premier conference in the world on the convergence of High Performance and Embedded Computing serving a community interested in computing hardware, software, systems, and applications where performance matters.
REGISTER
Distinguished speakers at this year’s meeting include:

Keynote: Prof. Barbara Liskov (MIT Institute Professor & Turing Award Winner) – Reflections on a Career in Computer Science
Dr. Almadena Chtchelkanova (NSF) – The NSF Computing and Information Science and Engineering Landscape: A Look Forward
Barry Greene (Akamai) – Welcome to CyberWar: Long Term Ramifications Unleashed by Russia’s War
Maj. Michael Kanaan (USAF) – Making AI Real: Insights from the Lab to Operations
Dr. Piyush Mehrotra (NASA Advanced Supercomputing Chief) – HPC Matters! How Supercomputing Supports NASA’s Mission
Prof. Taylor Perron (MIT Geology & MacArthur Fellow) – Challenges in Geospatial Computing
Prof. Viktor Prasanna (USC EECE & CS) – GNN Acceleration on FPGAs
Dr. John Reynders (Neumora; Former CIO of Moderna Therapeutics & Celera Genomics) – Data-Driven Precision Neuroscience
Dr. Rob Schreiber (Cerebras Distinguished Engineer) – New Frontiers in Performance at Wafer Scale

with Special Events

MIT/Amazon/IEEE Graph Challenge
GraphBLAS Forum to define standard building blocks for graph algorithms; organizers: Dr. Timothy Mattson (Intel); Dr. Scott McMillan (CMU SEI)
Sky Computing – Towards Efficient Computing on the Cloud; organizers: Marco Montes de Oca, Luna Xu, Erica Lin, Suraj Bramhavar, Jeffrey Chou (Sync Computing)
Tutorial: Exploring Graph Analysis for HPC with Near-Memory Accelerators; organizers: Jeffrey Young (Georgia Tech), Patrick Lavin (Georgia Tech), Jason Riedy (Lucata), Srinivas Eswar (Georgia Tech)
Tutorial: SPIRAL; organizers: Prof. Franz Franchetti and Mike Franusich
Remote Sensing for Humanitarian Assistance & Disaster Relief; organizers: Dr. John Aldridge, Dan Dumanis, Andrew Weinert (MIT LL)
HPSEC: High Performance Secure Extreme Computing; organizer: Dr. Michael Vai and Donato Kava (MIT LL)
BRAIDS: Boosting Resilience through Artificial Intelligence and Decision Support; organizer: Dr. Courtland VanDam (MIT LL)
Bridging Quantum and High Performance Computing; organizer: Prof. Patrick Dreher (NC State Univ)
Scaling HPC Education; organizers: Dr. Julie Mullen (MIT LLSC), Lauren Milechen (MIT EAPS), and Dr. Hayden Jananthan (MIT LLSC)
AI Challenges; organizer: Dr. Vijay Gadepally (MIT LLSC)
Open SuperComputing forum; organizer: Kurt Keville (MIT LLSC)

For more information visit the EVENT WEBSITE.

CI Compass Webinar: Commercial Cloud Solutions with Bob Flynn
2022-09-02 13:00 - 14:00
CI Compass is pleased to announce its next installment in our webinar series: Commercial Cloud Solutions with Bob Flynn. This webinar will be held Friday, September 2, from 1 p.m. to 2 p.m. EST / 10 a.m. to 11 a.m. PST. Registration is free, and required. Details for registration are below.
This webinar features Bob Flynn, PM of Cloud Infrastructure & Platform Services at Internet2, and Jarek Nabrzyski, co-PI of CI Compass and founding director of the Center for Research Computing at the University of Notre Dame.
Internet2 provides cloud solutions, support for research, and tailors services for Research and Education.
In this webinar, Flynn and Nabrzyski will discuss the major aspects that need to be taken into consideration by scientists when they think about migrating to the cloud.
Learn more about the event here: https://ci-compass.org/news-and-events/events/2022/09/02/ci-compass-webinar-commercial-cloud-solutions-with-bob-flynn/
Register and add to your digital calendar here: https://renci.zoom.us/meeting/register/tJYvdOuqrz0vEtTcRaUFVripiF2X0TH9fJUF

Introduction to Linux Cluster System Administration
2022-08-22 00:00 - 2022-08-26 23:59
Linux Clusters Institute (LCI) workshopIntroduction to Linux Cluster System Administrationat Dartmouth College, Hanover NHContact: Leslie Froeschl (lfroesh@illinois.edu)https://linuxclustersinstitute.org/2022-introductory-lci-workshop/
DETAILS:
The Linux Clusters Institute (LCI) will hold an Introductory-level workshop at Dartmouth College, Hanover, NH thisAugust 22-26, 2022.
https://linuxclustersinstitute.org/2022-introductory-lci-workshop/
Registration rate through Fri July 15: $545Registration rate starting Sat July 16: $650
If you are a Linux system administrator new to HPC, this isthe workshop for you!
In just five days you will:
* Learn HPC system administration concepts and technologiesand how to apply them
* Get hands-on skills building a small test cluster in labsessions
* Hear real-life stories and get to ask experts questions inpanel discussions
Register:
https://appserv7.admin.uillinois.edu/FormBuilderSurvey/Survey/ncsa/lci/linux_clusters_institute_introductory_workshop/
(Click the “Fill out new form” button to start your registration.)
Registration includes breakfast and lunch each day!
View tentative/draft schedule for the workshop:
https://linuxclustersinstitute.org/2022-introductory-lci-workshop/2022-lci-introductory-workshop-schedule/
Workshop location:
Dartmouth CollegeMonday-Wednesday:Haldeman Center 041, Food in Haldeman Center 03129 N Main St, Hanover, NH 03755Thursday-Friday:Kemeny Hall 007 (Food in Haldeman Center 126)27 N Main St, Hanover, NH 03755
Travel/Lodging Information can be found at
https://linuxclustersinstitute.org/2022-introductory-lci-workshop/2022-lci-introductory-workshop-travel-lodging-info/
There is an option on the registration form to purchasea campus parking pass if you’ll be driving in for the workshop.
Contact Leslie Froeschl at lfroesh@illinois.edu with any questions!

ERN@PEARC22
2022-07-13 12:00 - 13:30
Please join ERN at the PEARC’22 Conference next week for our official co-located event, ERN: The Evolution. This 1.5 hour networking and social event is open to all PEARC22 attendees on Wednesday, July 13, from 12:00 to 1:30 PM in tandem with the PEARC22 Conference in Boston. The event will be held in The Whittier Room at the Boston Park Plaza Hotel. It’s an official co-located event, and there’s no additional cost to attend.

Agenda:

Welcome & IntroductionsEcosystem for Research NetworkingEvolutionWorking GroupsVision and MissionProjects and ActivitiesCommunity DiscussionFuture Plans

We hope that you can also attend one of our several paper presentations:

Wednesday, July 13:

Broadening the Reach for Access to Advanced Computing: Leveraging the Cloud for Research (Short Paper, Workforce Track)11:15AM-11:30 PM, The LoftThe ERN Cryo-EM Federated Instrument Pilot Project (Best Short Paper, Systems Track)3:00 PM-3:15 PM, Studio 2Federating CI Policy in Support of Multi-Institutional Research: Lessons from the Ecosystem for Research Networking (short paper, Systems Track)

3:45 PM-4:00 PM, Studio 1

For more details, please see the full PEARC22 schedule here for more details.

June Research Computing and Data CG Open call: NIH STRIDES Cloud Computing Initiative
2022-06-23 13:00 - 14:00
Please join the June Research Computing and Data CG Open Call. As a reminder, our Open Calls are held on the 4th Thursday of every other month from 1-2 pm EST. Please come to share, discuss, learn, and ask questions! Zoom connection and invitation download information can be found at the bottom.

The presentation WILL be recorded. We will provide recording and slide information in the coming weeks.

Title: NIH STRIDES Cloud Computing Initiative

When: June 23, 2022 1:00 – 2:00 pm EST

As the NIH continues to add more cloud providers to the NIH STRIDES program, interest in this service continues to grow among our research community. For our June Open call we have invited Nick Weber, Program Manager, Cloud Services & Program Lead, NIH STRIDES Initiative, to discuss how to take advantage of this program, including what research support providers will need to consider as their institutions enroll in this program and how can integrate with existing cloud service resources and agreements. After Nick presents, we will have the opportunity to ask questions and discuss our own experiences integrating with and using NIH STRIDES resources.

Call logistics:

Join Zoom Meeting

educause.zoom.us/j/…

Meeting ID: 957 6790 2435

Passcode: [REDACTED]

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Dial by your location

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Meeting ID: 957 6790 2435

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Find your local number: educause.zoom.us/u/amdg6UrUE

4th GPU Hackathon at Princeton (Virtual)
2022-06-06 00:00 - 2022-06-08 23:59
4th GPU Hackathon at Princeton (Virtual event)June 1, 2022 (Prep day)June 6-8, 2022 (Main event)Contact: Ma. Florevel (Floe) Fusin-Wischusen (floe@princeton.edu)https://gpuhackathons.org/event/princeton-gpu-hackathon-2022

DETAILS:

Graphics Processing Units (GPUs) offer high performance andmassive parallelization, but learning how to program GPUs forscientific applications can be daunting.

To help reduce the barrier to entry, Princeton will host its4th annual GPU hackathon, organized and sponsored by NVIDIA,Oak Ridge Leadership Computing Facility (OLCF), andPrinceton Institute for Computational Science & Engineering(PICSciE).

Interested research groups should apply to send a small teamof 3-6 developers who will be paired with experiencedmentors from industry and national laboratories in order tohelp migrate their code to GPUs and/or optimize codes alreadyrunning on GPUs.

The event will include a “prep day” of code profiling andpreliminaries followed by an intensive 3-day scrum.

* Prior experience with programming GPUs is not required, butparticipants will be encouraged to get an overview ofdifferent GPU programming paradigms prior to the hackathonvia training materials that will be provided in advance.

* All fields are welcome, from astrophysics tomachine learning to genomics.

* Although Princeton and Princeton-area teams will be givenpriority, a Princeton affiliation is not required, so sharethis announcement to interested colleagues from neighboringinstitutions (partner GPU hackathons hosted in other parts ofthe US and the world are listed at gpuhackathons.org/events).

* Prior hackathon participants are also welcome to apply butsuch teams should explicitly address in their applicationsthe additional value they hope to gain from attending thehackathon again.

* Space is limited, and applications will be reviewed forthe goodness of fit with the goals and resources of the hackathon(including the availability of appropriate mentors for agiven team).

* Access to computing resources will be provided for theduration of the hackathon, and there will be a virtualsocial event on one of the hackathon days.

* A guide for what to expect as an attendee can be found here:

https://docs.google.com/document/d/1OpFlrThkxHV40wDUObBczLeChXTizKcrltFJJgZuZdM/edit

Apply Now!

APPLICATIONS MUST BE RECEIVED BY WEDNESDAY, APRIL 13, 2022for full consideration.

Once final teams are selected (by late April), the hackathonlanding page will be filled in with information includingadditional pre-event logistics.

Junior Mentors Needed:

If you already have some GPU programming experience butdo not plan to submit an application, and if you would likethe opportunity to spend a week working with and learning froma group of GPU experts, email floe@princeton.edu.

Data Visualization with Python (Webinar)
2022-04-08 12:30 - 14:30
Data Visualization with Python Jupyter Notebooks – A Hands-on Introduction

Registration: Required (Webinar link will be sent after the registration in the confirmation email along with the order details)

This is a virtual event, and it is free. Here is the registration link: https://rutgers.zoom.us/meeting/register/tJAqc-6trDItHd0eoc6At7k_bblIBp1vNLTy

The session will consist of brief presentations, with around 100 minutes of interactive work-along demo of data visualization with Jupyter Notebooks, and end with Q&A. Participants will learn to create data visualizations and can opt to either access Rutgers University’s high-performance computing (HPC) platform/cloud* or to run the code locally on their own computers.

Dr. Bala Desinghu, Senior Scientist from OARC, Rutgers University will provide an interactive introduction to data visualization with insights on the use of high-performance computing.Dr. Abhishek Tripathi, Associate Professor, School of Business, TCNJ, will introduce the use of Python libraries such as Seaborn, Plotly and Cufflinks for creating advanced and interactive data visualizations.Dr. Jim Samuel, Associate Professor, Rutgers Bloustein School, will conclude the session with insights on the use of Artificial Intelligence for visualizations and language data visualizations.

*Note to participants: If you want to use Rutgers high-performance computing (HPC) platform you do not have an active computing account on the Amarel cluster, please follow these instructions.

Request an account by filling out this form: https://oarc.rutgers.edu/amarel-cluster-access-request/You will need to establish a VPN (Virtual Private Network) to access the Amarel cluster when connecting outside the campus network. You can find more information here https://soc.rutgers.edu/vpn/Registration deadline to establish Amaral HPC account is Thursday, April 7, 10 AM EST.

This workshop is hosted by the Rutgers Urban and Civic Informatics Lab (RUCI Lab) at the Bloustein School and the Rutgers Office of Advanced Research Computing and sponsored by the Bloustein School Master of Public Informatics program. It is organized by Dr. Bala Desinghu and Dr. Jim Samuel in collaboration with our partners, the Eastern Regional Network (ERN), the Northeast Big Data Innovation Hub (NEBDI Hub), and the New Jersey Big Data Alliance (NJBDA).

Deep Learning with Python (Webinar)
2022-03-25 02:00 - 17:00
Hands-on Training – Deep Learning with Python and Jupyter

EVENT RECORDING

Deep Learning (DL) outperforms Machine Learning (ML) in many of the applications related to Computer Vision (CV) and Natural Language Processing (NLP). One of the biggest advantages of DL over ML is that they can automatically extract the important features from the data. With sufficient data and compute power, DL methods, in particular the supervised learning methods, can achieve the prediction accuracies that were not seen before with any other statistical methods in applications related to CV and NLP.

In this workshop, we will go through the basics of artificial neural networks (ANN), Convolutional Neural Networks (CNN), and Recurrent Neural Networks (RNN), and do hands-on training with these DL models to build predictive analytics for image and text data.

Objective of the workshop

Understand the basics of Artificial Neural Networks (ANN)Prepare image and text data suitable for the neural networksLearn how to apply various DL models such as ANN, CNN, and RNNImprove the accuracy of the model with Hyperparameter Optimization

What is needed? Laptop/Desktop with Internet connection

Duration: 3 hours

Level: Intermediate

Programming Platform: On-line resource or Laptop. Instructions for on-line resources will be given in the workshop.

Prerequisite: Basic laptop usage. Basic knowledge of Python is helpful for doing the hands-on session.

Slides and materials: Will be provided in the workshop

Machine Learning with Python (Webinar)
2022-03-11 02:00 - 17:00
Hands-on Training – Machine Learning with Python and Jupyter

EVENT RECORDING

In the last few years, both industry and academia witnessed the rise of Machine Learning (ML) methods being applied in finance, marketing, retails, science, engineering, healthcare, and humanities. Learning how to apply ML methods to a domain-specific application does not require detailed knowledge about the inner machinery of these methods; however, one needs to learn the best practices and recommendations followed by the community.

In this workshop, after a brief overview of machine learning, we will focus on doing the hands-on training in applying ML models on various data types including image, text, and time series. We will work through the use cases of classification and regression problems and discuss where to apply supervised or unsupervised methods.

Objective of the workshop

Understand supervised and unsupervised methodsChoose correct metrics and sampling methods for classification vs regression problemsFind out which features are important in a given datasetLearn to apply ML models such as Decision Trees, Random Forest, and Support Vector MachinesPerform clustering and dimensionality reductions (PCA, t-SNE, K-means, etc.)Search the parameter space – hyperparameter optimization

What is needed? Laptop/ Desktop with Internet Connection

Duration: 3 hours

Level: Intermediate

Programming Platform: On-line resource or Laptop. Instructions for on-line resources will be given in the workshop.

Prerequisite: Basic laptop usage. Basic knowledge of Python is helpful for doing the hands-on session.

Slides and materials: Will be provided in the workshop

Registration: Required (Webinar link will be sent after the registration in the confirmation email along with the order details)

This is a virtual event, and it is free. Here is the registration link: https://www.eventbrite.com/e/machine-learning-with-python-webinar-tickets-289926908187

Workshop on “Python for Big Data Analytics”
2022-02-18 14:00 - 17:00
Python for Big Data Analytics (Webinar)

EVENT RECORDING

The workshop will review several techniques for addressing the challenges associated with big data analytics, including vectorization, parallelization, just in time compilation, and distributed task executions. By the end of the workshop, the participants will be able to apply computational techniques for analyzing large volumes of data.

This workshop is hosted by Office of Advanced Research Computing(OARC), Rutgers University, organized by Bala Desinghu in collaboration with our partners, the Eastern Regional Network (ERN), the Northeast Big Data Innovation Hub ( NEBD Hub), and the New Jersey Big Data Alliance (NJBDA). Participants are encouraged to attend with campus partners representing a variety of stakeholders for campus research and research computing (e.g., researchers, research computing professionals, students, staff, faculty, and practitioners, etc.).

For additional information, feel free to contact bala.desinghu@rutgers.edu, forough.ghahramani@njedge.net, or gavirapp@kean.edu.

Are you interested in learning data science and modern computational tools for your research? If so, come join our Data Science Workshop Series on topics including: Python Programming, Machine Learning, Distributed Machine Learning for Big Data, and Deep Learning.

Registration is now open for the “Python for Big Data Analytics” hands-on workshop scheduled for Friday, Feb 18, 2022 at 2.00 PM.

This is a virtual event, and it is free. Here is the registration link:https://www.eventbrite.com/e/269056564427

"Intro to Python" Workshop
2022-02-04 14:00 - 17:00
EVENT RECORDING

This three-hour workshop focuses on learning the basics of python programming including data types, conditionals, functions, and python in HPC environment.

**NOTE** Just observing is welcome, but to participate in hands-on activities, you must have an Amarel account set up before the workshop. Please complete our web-based form at least 24 hours before the workshop (do this as soon as possible).

If you have questions or need help, please contact Bala Desinghu.

This is a virtual event, and it is free. Here is the registration link: https://oarc.rutgers.edu/event/intro-to-python-2-4-22/

Enabling PROTEIN STRUCTURE PREDICTION with Artificial Intelligence at Rutgers and Beyond
2021-12-09 13:00
Thursday, December 9th 2021 • 1:00 PM EST Registration (required and limited): go.rutgers.edu/dlqx9nfb

Click here to view the agenda.

LEARNING OBJECTIVES:

This Institute for Quantitative Biomedicine Crash Course will present a broad overview of how Artificial Intelligence/Machine Learning (AI/ML) methods are being used for de novo protein structure prediction and provide hands-on experience with both AlphaFold2 and RoseTTAFold.

CASP14 revealed that AlphaFold2, developed by Google DeepMind, Inc., can predict threedimensional structures of small globular proteins with accuracies comparable to experimental methods. RoseTTAFold, developed at the University of Washington/Howard Hughes Medical Institute, approaches AlphaFold2 in terms of prediction accuracy while requiring fewer computational resources.

In this Crash Course, expert speakers will provide a solid foundation on the role of AI/ML in structural biology and showcase ongoing research efforts at Rutgers. During the hands-on tutorial, participants will learn how to utilize these new computational tools to compute structure models from amino acid sequences and download precomputed structure models from the AlphaFoldDB database. Local computing resources (Rutgers University Amarel Cluster) and access to Google Colab and the RoseTTAFold server will be made available during the hands-on session.

CO-ORGANIZERS:

Balamurugan Desinghu, Ph.D. and Stephen K. Burley, M.D., D.Phil.

CO-Sponsors: RCSB Protein Data Bank, Institute for Quantitative Biomedicine, Rutgers Office of Advanced Research Computing (OARC), Office of Research

Broadening the Reach Working Group (BTR): Leveraging the Cloud for Research
2021-12-02 09:30 - 15:00
December 2, 2021 9:30am – 3:00 pm ET (Virtual Workshop) Registration (required): Click here to register.

Click here to view the agenda.

The Eastern Regional Network’s (ERN) Broadening the Reach Working Group is pleased to launch the first in a series of workshops in support of leveraging the cloud in research.

The virtual workshop is bringing together researchers, faculty, research computing and central IT professionals, as well as other institutional stakeholders, including students and administrators, to share information and facilitate discussions about successful implementation of the cloud for research from the researcher and institutional perspectives. The workshop will include the following distinct sessions:

Introduction to the Cloud for ResearchChallenges and opportunities in leveraging the cloud for research projects, featuring NSF-Funded, Exploring Clouds for Acceleration of Science (E-CAS) projectsInstitutional support and onboarding for research in the cloudFunding onboarding of research in the cloudTools, resources, and support available for cloud implementation

Please feel free to forward to appropriate members of your organization.

We also invite you and your colleagues to participate in the pre-workshop survey, developed by the ERN BTR working group, designed to help identify perceived challenges and opportunities for leveraging the cloud for research at participating institutions, and to use the knowledge from the survey to develop strategies and identify resources, including additional workshops, to address the needs. Only members of the ERN Broadening the Reach working group will have access to the information provided in response to survey questions, and individual responses will be kept private and secure. Participants will have the opportunity to remain anonymous. Please note, please plan to take a few moments to complete the survey prior to the workshop and preferably by November 29, even if you are not able to participate in the workshop, your input is important to us.”

This workshop is hosted by the ERN Broadening the Reach Working Group. For additional information about the workshop, please contact Forough.ghahramani@njedge.net or jhicks@internet2.edu.

ERN Virtual All Hands - Materials Discovery Session
2021-07-15 14:00 - 16:00
Materials Discovery is one of the research areas where gaining a deeper understanding of the workflows, research computing and data requirements, collaborations, and challenges will enable the ERN to have the broadest impact across multiple research disciplines, pedagogical approaches, senior level college and university administrators, and other organizations within the region and beyond. Researchers in materials discovery are realizing their traditional data-intensive HPC workflows are reaching the limits of original progress. For this reason, they are looking to new paradigms that include convergence of HPC and Machine Learning (ML) methodologies, algorithm development, and novel ways to access the data distributed across multiple institutions used in training systems as promising approaches to overcome the major computational performance limitations they are faced with. Exploratory conversations with Penn State, Rutgers, SUNY Buffalo, MIT, and others suggest that Materials Discovery offers an attractive testbed for advanced cyberinfrastructure of the sort the ERN can offer through future funding opportunities such as the Mid-Scale RI-1 program. As with Cryo-EM/Cryo-ET, this session will explore possibilities for extending collaborations to include other institutions as well as the community of Research Computing and Networking organizations.

Please view the agenda here.

ERN Virtual All Hands - Structural Biology Session
2021-07-15 10:00 - 12:00
Cryo-EM/ET is one of the research areas where gaining a deeper understanding of the workflows, research computing and data requirements, collaborations, and challenges will enable the ERN to have the broadest impact across multiple research disciplines, pedagogical approaches, senior level college and university administrators, and other organizations within the region and beyond. We estimate that the Cryo-EM/Cryo-ET community in the Northeast comprises nearly 50 centers serving more than 800 laboratories from Pennsylvania to Maine. Single Particle Reconstruction information produced by these centers is producing transformative insights. Given the cost and value of the instruments involved, fast turnaround and efficient use of resources is key. While all centers are well equipped to deliver images from prepared samples, processing and storage of these images can present significant and unnecessary obstacles, especially for labs that do not have easy access to computing resources and expertise. The Cryo-EM/Cryo-ET microscopy labs in the Northeast have formed a relatively tight knit community, allowing for free flow of information and experience, and reducing duplication of effort, and accelerating the adoption of new techniques. This session will explore possibilities for extending this collaboration to include the community of Research Computing and Networking organizations that serve these labs and the broader impacts.

Please view the agenda here.

ERN Virtual All Hands - Policies Session
2021-07-14 14:00 - 16:00
The vision of the ERN is to simplify and incentivize multi-campus collaborations and partnerships throughout the nation and beyond that advance the frontiers of research, pedagogy, and innovation. In order to do this successfully the ERN needs to consider current university policies as well as engage with university administrations in developing a policy strategy to help us bring the vision to reality. This session aims to learn from the ERN community the impact of federated and university policies and what considerations need to be taken into account as we create new policies and procedures designed to lower barriers that allow the ease of sharing knowledge, data, infrastructure, and people.

Please view the agenda here.

ERN Virtual All Hands - Broadening the Reach Session
2021-07-14 10:00 - 12:00
The session aims to learn directly from smaller, mid-sized and under-resourced campuses on the research infrastructure capability needs of the institutions – data, supercomputers and/or other research equipment, software, and people. In addition, the session will explore developing a skilled workforce to support advanced CI and research and the potential for the Eastern Regional Network (ERN) to provide the broader community access to ACI expertise, resources, tools, events, guidance, data, and collaboration opportunities. The goal is to bring together the community thought leaders to identify challenges, opportunities, collaboration opportunities, and brainstorm on the ERN Implementation in collaboration with RENs to address the needs of smaller, mid-sized and under-resourced campuses. Results of the workshop will also be used for planning the 2021-2022 ERN BTR Working Group workshops.

Please view the agenda here.

ERN Virtual All Hands - Architecture/Federation Session
2021-07-13 14:00 - 16:00
Merging what we learned from the ERN working group meetings, workshops, and the community, our goal for the ERN has evolved into building an instrument that interconnects the research instruments on our campuses through a federated private cloud platform (OpenCI Labs), a secure but open gateway to our campus CI ecosystems, coupled with distributed specialized cloudlet nodes that provide near data computing and advanced networking capabilities placed within close proximity to a research instrument (edge cloud services). This ERN effort, driven by the needs of the Structural Biology, Materials Discovery, and Computer Science and Broadening the Reach communities, with the help from people representing all the major stakeholder groups and partner sites across the region and beyond, is focused on standing up these secure services in order to revolutionize the way the research and education communities across the nation collaborate, access research instruments, and share data, ultimately leading to new and exciting research and education endeavors. The purpose of this session is to share what we have learned since the last AHM, instrument designs, and future projects with the hope that, as a community, we find a path forward to realize the ERN vision and mission.

Please access the agenda here.

ERN Virtual All Hands - Opening Session
2021-07-13 10:00 - 12:00
The Eastern Regional Network (ERN) has been very busy since our June 2020 All Hands Meeting and are excited about sharing all of the activities with you, the ERN community. For this reason, we are pleased to announce that this year’s ERN All Hands Meeting will take place virtually from July 13 – 15, 2021. You are invited to join with the ERN community as we come together to discuss current and future ERN projects, collaborations and partnerships, the five ERN Working Groups’ efforts, future funding opportunities, future workshops, and other topics. In addition, we plan to invite several NSF Program Officers to the All Hands Meeting as well as industry partners who have been involved with several of the ERN activities.

Please view the agenda here.

Internet2 Online Virtual Event: Identifying Cyberinfrastructure Gaps for Under-Resourced Institutions
2021-04-20 14:00
Community,

The Eastern Regional Network (ERN) recently held a “Broadening the Reach” Workshop. Please join us for:

I2 Online Virtual EventIdentifying Cyberinfrastructure Gaps for Under-Resourced InstitutionsREGISTER HERE (free)

Tuesday, April 20, 2021 2 p.m. ET | OnlineRecommendations from the recent Eastern Regional Network’s “Broadening the Reach” workshop Register for this virtual event on April 20th at 2 p.m. ET, featuring the Eastern Regional Network’s (ERN) Broadening the Reach program–which strives to understand how to support resource and technology collaborations among smaller, mid-sized, under-resourced campuses in the Northeast, and how similar collaborations can be expanded in the Northeast with: *Minority Serving Institutions, *Hispanic-Serving Institutions, *Historically Black Colleges and Universities *Established Program to Stimulate Competitive Research institutionsIn this virtual event you will learn about: *The Eastern Regional Network’s Broadening the Reach program *The ERN BTR December 2020 workshop results *Available resources and funding opportunities that your campus could leverage *Ways to participate with these research and cyberinfrastructure collaborations

Speakers:Dr. Forough Ghahramani, Associate Vice President for Research, Innovation, and Sponsored Programs, Edge, Inc.

John Hicks, Network Research Engineer, Internet2REGISTER HERE (free)

Dana Brunson

Executive Director for Research Engagement

Internet2

ERN Structural Biology Voice of the Customer Virtual Workshop
2021-02-11 13:00 - 16:00
The Rutgers Institute for Quantitative Biomedicine and the Eastern Regional Network are co-organizing an online workshop to solicit feedback from electron microscopists and electron microscopy facility managers regarding their information technology (IT) challenges. The goal of our Voice of the Customer exercise is to ascertain the needs of this rapidly growing community of structural biologists for enumeration in an NSF Mid-scale Research Infrastructure-1 application (Program Solicitation NSF 21- 505, Mid-scale RI-1).

Our proposal seeks funds to establish robust federated IT data transfer networking and data management solutions among ERN-member institutions that will enable facile and secure online access to electron microscopy facilities and the large volumes of data generated therefrom.

Electron microscopists and electron microscopy facility managers working in ERN-member institutions are strongly encouraged to register (at no cost) and contribute to the success of the Mid-scale RI-1 proposal by explaining current IT infrastructure pain points and helping to identify future enhancements for remote access and control of imaging experiments by structural biologists using institutional, regional, and national electron microscopy facilities. Interested parties from outside the ERN, including ex-US institutions, are similarly encouraged to register (at no cost) and participate. The ERN is committed to identifying IT infrastructure solutions that can be disseminated across the nation and around the world.

To participate in the ERN Structural Biology Voice of the Customer workshop, please register here. The virtual meeting information will be emailed to the address you provide in the registration form.

ERN Broadening the Reach Virtual Workshop
2020-12-10 00:00 - 2020-12-11 23:59
Many smaller, mid-sized and under-resourced campuses, including MSIs, HSIs, HBCUs, and EPSCoR institutions, have compelling science research and education activities along with an awareness of the benefits associated with better access to cyberinfrastructure resources. Yet, these schools typically may not have the resources or expertise in-house to go through the process of identifying, understanding and quantifying science drivers, understanding the cyberinfrastructure needed to support the applications; and, then provide both the technical and application support associated with matching the applications to the infrastructure, particularly when the required resources are outside of their campus environment.

We invite you and colleagues at your institution to participate in the Eastern Regional Network’s (ERN) Broadening the Reach (BTR) Workshop December 10-11 (https://forms.gle/KY1out4urW5Hqykt6). The workshop is bringing together representatives (including CIOs and/or provosts, vice presidents for research, researchers, educators, and technical support staff) from the small, mid-sized and under-resourced schools in the Northeast, including MSIs, HSIs, HBCUs, and EPSCoR institutions, along with regional (and national) cyberinfrastructure experts with the goal of improving the Eastern Regional Network’s understanding of how best to support under-resourced academic institutions in the region. To participate in the workshop, please register here for the ERN Broadening the Reach workshop (https://forms.gle/KY1out4urW5Hqykt6) .

We also invite you and your colleagues to participate in the pre-workshop survey (https://delaware.ca1.qualtrics.com/jfe/form/SV_8wFAFke835Pi0Op), developed by the ERN BTR working group, designed to help identify perceived challenges and opportunities at participating institutions, and to use the knowledge from the survey to serve as a baseline framework for workshop discussion sessions. Only members of the ERN Broadening the Reach working group will have access to the information provided in response to survey questions, and individual responses will be kept private and secure. Participants will have the opportunity to remain anonymous. Please note, please plan to take a few moments to complete the survey prior to the workshop and preferably by November 15, even if you are not able to participate in the workshop, your input is important to us.

We are seeking participation in the workshop and survey from each of the following areas: CIOs, VPRs, provosts, researchers, faculty, and research computing and Central IT technical support staff. Please feel free to forward to appropriate members of your organization.

For additional information about the workshop or survey, please contact Forough.ghahramani@njedge.net or jhicks@internet2.edu.

ERN Architecture and Federation Virtual Workshop
2020-12-02 00:00 - 2020-12-04 23:59
The vision of the federated collaboratories will require the development of many layers of abstractions ranging from hardware, networking, federation architecture, scientific workflows, and domain-specific models and tools to enable collaborative discovery. The ERN Architecture and Federation working group are focused on gathering information and discussing what the “federated collaboratory” might look like from both a hardware and software perspective as well as what federation should look like as we strive for a seamless collaborative sharing experience.

As a member of the ERN community, or attendee of the ERN All Hands Meeting in July, we invite you to participate in the Eastern Regional Network’s Architecture and Federation workshop December 2nd – 4th. The workshop is currently scheduled to cover the following topics:

authentication, authorization and accessdata storage and transfernetwork connectivityfederated infrastructuresscience driver use cases

Discussions following each session’s presentations will help in the understanding of how best to model the federated instrument promoting collaboration and scientific advancement. To participate in the workshop, please register here.

To view the workshop schedule, please follow this link.

For information about the ERN, please visit https://www.ern.ci.

For additional information about the workshop, please contact mzink@cas.umass.edu or maureen.dougherty@ern.ci .

Virtual All-Hands Meeting: Closing Session
2020-06-11 14:00 - 16:00
Breakout session leads will give a high level overview of what was discussed in their respective sessions and the working groups formed.

All-Hands Breakout Session 6: Computer Science
2020-06-11 10:00 - 12:00
We believe that the ERN will both benefit from and serve as a testbed for Computer science research. As we strive to develop solutions focused on supporting the vision and mission of the ERN, many of the challenges the ERN will face will lead to questions that ultimately become interesting CS research projects on topics such as ontologies and knowledge representation, workflow analysis, federated AI/ML, domain-specific programming languages, to architecture, networks, systems, and security. The ERN will also become a testbed for CS experiments (Measurement Monitoring, Self Optimizing Systems) and will leverage existing NSF funded projects (FABRIC, Open Cloud, CC*) leading the way to become an instrument to connect other research instruments or platforms. In this session the focus will be on how computer science research can play an important role in defining the ERN and to form a working group to focus on the different CS related projects to be included in the Mid-Scale proposal.
