January 20, 2022 San Diego CA:
In classic UC San Diego fashion, an overheard conversation at a campus coffee cart has turned into an interdisciplinary project that’s making computing-intensive coursework more exciting while saving well over one million dollars so far.
No one predicted the dramatic and sudden shift in the world of work that happened in March of 2020 when COVID shut down offices and the U.S. experienced the mass exodus to a Work-from-Home economy. For many, that shift was a reckoning with inadequate internet capacity for work, school, health care, and entertainment needs and desires.
At SC21 last week, Smarr delivered a racing reprise of this (ongoing) HPC tour de force in his talk, The Rise of Supernetwork Data Intensive Computing. Presented here are a sampling of his comments (lightly edited) and quite a few of his slides.
Building on years of research in network engineering and data-intensive collaborative science, the Pacific Research Platform was born in 2015 with a grant from the National Science Foundation.
Datanami recently caught up with Smarr to get his take on how new technologies like Kubernetes and 5G are changing the distributed computing game.
Researchers at the University of California San Diego have been applying their high-performance computing expertise by porting the popular UniFrac microbiome tool to graphic processing units (GPUs) in a bid to increase the acceleration and accuracy of scientific discovery, including urgently needed COVID-19 research.
