Training Discovery

Hosted & taught by High-Performance Biological Computing (HPCBio) with the support of the OVCR. CNRG (Computer Network Resource Group) instructs Biocluster session. 

The Willard J. and Priscilla F. Visek Lecture will be held Apr. 11 from 4:00 - 5:00 p.m. in the Beckman Institute Auditorium, Room 1025. This year's topic, "Modulating molecular pathways through diet to impact chronic disease risk" will be presented by Dr. Valter Longo from the University of Southern California. Physicians and practitioners attending the lecture can receive 1 CME credit. Immediately following the lecture, guests are invited to attend a reception in honor of the Visek family and the featured speaker. The event is hosted in partnership with the University of Illinois College of Medicine, with additional sponsorship by the Division of Nutritional Sciences and Center on Health, Aging, and Disability.

This lecture aligns with IHSI's Health I.D.E.A.S. series, with the ultimate goal of inspiring new innovations in health.

Hosted & taught by High-Performance Biological Computing (HPCBio) with the support of the OVCR. CNRG (Computer Network Resource Group) instructs Biocluster session. 

Hosted & taught by High-Performance Biological Computing (HPCBio) with the support of the OVCR. CNRG (Computer Network Resource Group) instructs Biocluster session. 

Are you interested in how the sciences, arts, and humanities intersect to address environmental issues? The IPRH-Mellon Environmental Humanities Undergraduate Research Group is a collective of students exploring how matters of the environment can be understood through a humanistic lens. As we do so, we seek to dive into the untold narratives of physical and social environments. Join us in breaking the boundaries of your academic discipline and engaging with student researchers in other fields! This event is free and open to all undergraduates, graduates, faculty, and community members.

Andrew Janco is a Digital Scholarship Librarian at Haverford College. He completed his Ph.D. at the University of Chicago and held post-docs at the University of Chicago's Pozen Family Center for Human Rights and the Human Rights Institute at the University of Connecticut. He recently completed his M.S. in Library and Information Science at the University of Illinois Urbana-Champaign.

Dr. Janco has a passion for inquiry-driven and community-engaged digital projects. He is one of the lead developers working on a digital archive and research application for the Groupo de Apoyo Mutuo; Guatemala's oldest human rights organization. He also works on applied machine learning for Humanities and Social Science research.  

Could your computational work benefit from the ability to concurrently run hundreds or thousands of independent computations, for free? The Open Science Grid (OSG) facilitates distributed high-throughput computing (dHTC) via a partnership of national labs, universities, and other organizations who contribute and share computing capacity for use by researchers across and beyond the United States. Individual researchers, institutions, or multi-institutional collaborations can access OSG via local submission points or through the OSG Connect service (freely available to U.S. academic, government, and non-profit researchers).  
During this 3-hour tutorial, you'll learn to identify and run large HTC workloads and multi-step workflows via the OSG Connect service. OSG staff can also help you launch your own work!

The aim of this all-day workshop is to familiarize you with the Microsoft Azure public cloud and some of its Big Data and Machine Learning technologies.

At the conclusion of the workshop you should know the following:

• How to navigate Azure and how to spin up new resources to do your work;
   
• Know different data collection and sanitation techniques and technologies;
   
• Have a feel for implementation of machine learning platforms that will facilitate your research aspirations;
   
• How to have fun working with scaled (almost), unlimited cloud resources.

The Message Passing Interface, or MPI, is a standard library of subroutines (Fortran) or function calls (C) that can be used to implement a message-passing program. MPI allows for the coordination of a program running as multiple processes in a distributed memory environment, yet is flexible enough to be used in a shared memory environment. MPI is the defacto standard for message-passing, and as such, MPI programs should compile and run on any platform supporting it. This provides ease of use and source code portability. It also allows efficient implementations across a range of architectures, offers a great deal of functionality, includes different communication types and special routines for common collective operations, handles user-defined data types and topologies, and supports heterogeneous parallel architectures.

This tutorial provides an introduction to MPI so you can begin using it to develop message-passing programs in Fortran or C.

Target Audience: Programmers and researchers interested in using or writing parallel programs to solve complex problems.

Prerequisites: No prior experience with MPI or parallel programming is required to take this course. However, an understanding of computer programming is necessary.

Note: This course was previously offered on CI-Tutor.

OpenMP is a standardized API for parallelizing Fortran, C, and C++ programs on shared-memory architectures. This tutorial provides an introduction to OpenMP in a concise, progressive fashion, so you can begin to apply OpenMP to your codes in a minimum amount of time. Some general information on parallel processing is also included to the extent necessary to explain various points about OpenMP. Examples are presented in both Fortran and C.

Prerequisites: Knowledge of basic programming in Fortran, C, or C++.

Note: This course was previously offered on CI-Tutor.

This tutorial provides an introduction to parallel computing on high-performance systems. Core concepts covered include terminology, programming models, system architecture, data and task parallelism, and performance measurement. Hands-on exercises using OpenMP will explore how to build new parallel applications and transform serial applications into parallel ones incrementally in a shared memory environment. (OpenMP is a standardized API for parallelizing Fortran, C, and C++ programs on shared-memory architectures.) After completing this tutorial, you will be prepared for more advanced or different parallel computing tools and techniques that build on these core concepts. 

The New Frontiers Initiative continues its faculty seminar series with two 30 minute talks: Bin Hu will discuss Bridging Control Theory and Robust Deep Learning Athol Kemball will discuss Calibration and Image Formation in Interferometry

How do humans reason about and find meaning in images? Despite advances in artificial neural networks such as deep neural networks for computer vision applications, extracting salient information from images and then reasoning about it in the myriad ways that people can remains a challenge. This talk will describe a new computational model of human primary visual cortex.