Supercomputers Streamline Prediction of Dangerous Arrhythmia

June 2, 2020

Heart arrhythmia can prove deadly, contributing to the hundreds of thousands of deaths from cardiac arrest in the U.S. every year. Unfortunately, many of those Read more…

Summit Joins the Fight Against the Coronavirus

March 6, 2020

With the coronavirus sweeping the globe, tech conferences and supply chains are being hit hard – but now, tech is hitting back. Oak Ridge National Laboratory Read more…

Oak Ridge Supercomputer Helps Apply Machine Learning to Drug Design

February 25, 2020

Drug discovery is a complex task that often costs many millions of dollars through painstaking trial and error, but advanced computing technologies can dramatic Read more…

HPC Speeds HIV Drug Discovery

October 9, 2014

As with a number of potentially deadly diseases, time is of the essence when it comes to fighting HIV, a virus that affects an estimated 35 million people world Read more…

Drug Discovery and Development in the Cloud

May 21, 2010

Continued advances in drug discovery will exponentially increase the amount of data generated during the discovery process. IT organizations or vendors that can supply the needed cloud-based infrastructure services in a secure and reliable manner will certainly do well in this space. 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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