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Portrait of a Black Hole & Beyond
26 Aug 2020 | | Contributor(s):: Katie L. Bouman
Dr. Bouman, who was part of the Event Horizon Telescope team that captured the first photograph of a black hole, will talk about the challenges of the project.
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Katie L. Bouman
Katie Bouman is a Rosenberg Scholar and an assistant professor in the Computing and Mathematical Sciences Department at the California Institute of Technology. Before joining Caltech, she was a...
https://nanohub.org/members/298104
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Nov 21 2019
Collaborative: Summit on Big Data and Cyberinfrastructure in Materials Research
The Summit on Big Data and Cyberinfrastructure in Materials Research will convene leaders across the breadth of materials data stakeholders. The central goals for the Summit are to accelerate and...
https://nanohub.org/events/details/1807
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Perspectives on High-Performance Computing in a Big Data World: Part D - Learning Model Details and Agent-Based Simulations
17 Oct 2019 | | Contributor(s):: Fox, Geoffrey C.
This lecture completes the discussion of MLforHPC. It covers Learning Model Details and Agents and Time-Series Case Studies.
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Perspectives on High-Performance Computing in a Big Data World: Part E - Challenges and Opportunities, Conclusions
17 Oct 2019 | | Contributor(s):: Fox, Geoffrey C.
This lecture covers the computer science issues raised in this talk. The conclusions note that HPDC/HPC is essential; it is good to work closely with industry with student Internships and Collaborations; the Global AI and Modeling Supercomputer GAIMSC is a good framework with an HPC Cloud linked...
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Perspectives on High-Performance Computing in a Big Data World: Part C - MLaroundHPDC/HPC and MLAutotuning
10 Oct 2019 | | Contributor(s):: Fox, Geoffrey C.
This is the first part of the discussion of MLforHPC. It includes MLAutotuning (Using ML to configure or autotune ML or HPC simulations and MLaroundHPC (Learning outputs from inputs).
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Perspectives on High-Performance Computing in a Big Data World
30 Sep 2019 | | Contributor(s):: Fox, Geoffrey C.
This course was deleivered at ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC).High-Performance Computing (HPC) and Cyberinfrastructure have played a leadership role in computational science even since the start of the NSF computing centers program. Thirty...
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Perspectives on High-Performance Computing in a Big Data World: Part B - More on the Evolution of Interests and Communities
30 Sep 2019 | | Contributor(s):: Fox, Geoffrey C.
This part contains several topics. It discusses the importance of industry in several facets of the field: SysML conference, clouds, MLPerf, the Global AI Supercomputer. The nature of data science and data engineering jobs. We emphasize the need for HPC. We finish by introducing MLforHPC (AI for...
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Perspectives on High-Performance Computing in a Big Data World: Part A - Data on the Evolution of Interests and Communities
13 Aug 2019 | | Contributor(s):: Fox, Geoffrey C.
This lecture has an overall outline of the 5 part presentation. It covers trends seen from conferences and journals -- the number of papers, attendees and h5index. Then we look at relevant Google Trends. Cyberinfrastructure related activities are less buoyant than those for AI and ML.
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How do we solve big science problems using all the modern tools and technologies at our fingertips?
06 Jul 2019 | | Contributor(s):: Jeffrey A. Nichols
Exascale is on the horizon and ORNL just announced our next new system called Frontier to be delivered in 2021 – another order of magnitude more powerful! I will discuss the technologies used in Summit and Frontier.
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SMART Films Tutorials
05 Jun 2019 | | Contributor(s):: Ali Shakouri (organizer)
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Big Data in Reliability and Security: Some Basics
30 May 2019 | | Contributor(s):: Saurabh Bagchi
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Big Data in Reliability and Security: Applications
30 May 2019 | | Contributor(s):: Saurabh Bagchi
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Midwest Big Data Hub: Partnerships and Projects to Advance the Data Ecosystem
18 Apr 2019 | | Contributor(s):: Melissa Cragin
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ECE 695E: An Introduction to Data Analysis, Design of Experiment, and Machine Learning
07 Jan 2019 | | Contributor(s):: Muhammad A. Alam
This course will provide the conceptual foundation so that a student can use modern statistical concepts and tools to analyze data generated by experiments or numerical simulation.
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May 26 2016
Big Data Bioinformatics conference
GTCbio is proud to present the Big Data Bioinformatics conference, to be held on May 26th-27th 2016 in Boston, MA. GTCbio's Big Data Bioinformatics conference provides...
https://nanohub.org/events/details/1436
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Nahil Sobh
Nahil Sobh is the site-lead of NCN at the University of Illinois and Project Lead for the KnowEnG’s Data Science Implementation team. He received a Ph.D. in Applied Mathematics, and a Ph.D....
https://nanohub.org/members/22330