A Large Hadron Collider Case Study - Where HPC and Big Data Converge
RCC seminars are offered as part of the Queensland Undergraduate Research Projects Abroad (QURPA)/Monash Undergraduate Research Projects Abroad (MURPA) series. All attendees are welcome — no need to book.
A Large Hadron Collider Case Study - Where HPC and Big Data Converge
Speaker: Professor Frank Würthwein
Locations:
University of Queensland: Time: 9.00 - 10.00am Seminar Room 505A/B, Axon Building (#47), St Lucia Campus. Enquiries: Fran Moore rcc-admin@uq.edu.au (Research Computing Centre)
Monash University: Time: 9.00 - 10.00am Seminar Room G12A, Building 26, Clayton Campus. Enquiries: Caitlin Slattery (Faculty of IT)
Abstract:
The universe is a mostly dark and strange place: 67 of energy is "dark energy" of which we know nothing, 29 percent matter is "dark matter" of which we have some ideas. About 4 percent of the universe - including the stars, planets and us - is made of familiar atomic matter.
To study dark matter we need to create it in the laboratory.
The Challenge:How do we organize the processing of 10's of 1000's of Petabytes of data by a globally distributed community of scientists, and do so with manageable "change costs" for the next 20 years?
Biography:
Frank Wuerthwein, PH.D Cornell 1995, teaches at the University of California in San Diego (UCSD). He is an expert in particle physics new phenomena at the high energy frontier with the CMS detector at the Large Hadron Collider at CERN.
He is "developing, deploying, and now operating a worldwide distributed computing system for high throughput computing with large data volumes. In 2010, "large" data volumes are measured in Petabytes. By 2020, he expects this to grow to Exabytes." He is a key management member of Open Science Grid (OSG)
Slides: Computing at the Large Hadron Collider (5 MB, PDF)