Fermilab, UChicago Develop Low-cost, Fast Quantum Computer Control Kit

May 3, 2022

Control of quantum computers has always required fast, precise coordination between a traditional computer and the quantum computer. Mostly, these are custom sy Read more…

University of Chicago Researchers Generate First Computational Model of Entire SARS-CoV-2 Virus

January 15, 2021

Over the course of the last year, many detailed computational models of SARS-CoV-2 have been produced with the help of supercomputers, but those models have lar Read more…

ALCF and U Chicago Researchers Advance ‘Lithium Air’ Battery Technology

March 27, 2018

The lithium ion battery, which essentially transformed portable electronics, has been a tough act to follow. Last week, researchers from Argonne National Labora Read more…

NSF Awards $10M to Extend Chameleon Cloud Testbed Project

September 19, 2017

The National Science Foundation has awarded a second phase, $10 million grant to the Chameleon cloud computing testbed project led by University of Chicago with Read more…

Chameleon: Why Computer Scientists Need a Cloud of Their Own

May 5, 2016

Chameleon, the NSF-funded cloud testbed co-located at the University of Chicago and the Texas Advanced Computing Center, has been operating less than one year, Read more…

Is the City of the Future Finally Here?

October 21, 2014

Grid computing pioneer and big data visionary Charlie Catlett recently delivered a presentation on “Big Data and the Future of Cities” as part of the Argonn Read more…

NSF Rolls Out Innovative Cloud Testbeds

August 21, 2014

The National Science Foundation (NSF) announced funding for two cloud testbeds, named "Chameleon" and "CloudLab.” A total award of $20 million to be split eve Read more…

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Whitepaper

5 HPC Optimization Techniques

For many organizations, decisions about whether to run HPC workloads in the cloud or in on-premises datacenters are less all-encompassing and more about leveraging both infrastructures strategically to optimize HPC workloads across hybrid environments. From multi-clouds to on-premises, dark, edge, and point of presence (PoP) datacenters, data comes from all directions and in all forms while HPC workloads run in every dimension of modern datacenter schemes. HPC has become multi-dimensional and must be managed as such.

This white paper explores several of these new strategies and tools for optimizing HPC workloads across all dimensions to achieve breakthrough results in Microsoft Azure.

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