August 16, 2010
Cloud infrastructure is still lucrative if comparing its economics to building in-house HPC machines. However, cloud for HPC has to be efficient enough to reach proper performance ceilings without disappointing customers who probably experienced at a certain point to run their HPC applications on dedicated machines. As part of an ongoing series, Dr. Mohamed F. Ahmed addresses the multitude of challenges inherent to porting HPC applications in the cloud and what steps need to be taken in research to address such barriers. Read more…
Did you miss out on Supercomputing 2017? Did you attend, but were stuck in meetings the whole time without an opportunity to walk the show floor and see what new announcements were being made? HPCwire's got you covered, we visited some of the hottest booths in the exhibit hall and spoke with their top executives to get the scoop on the latest solutions, partnerships, and product announcements.
From mismatches between compute and storage capabilities to colossal data volumes, data storage presents a number of challenges for scientific research. And as silos pop up and challenges expand, the pace of research often suffers.
As genomic data becomes ubiquitous, infrastructure bottlenecks for life sciences organizations are narrowing. But speedy analysis and real-time decision making don't have to remain out of reach: modern end-to-end systems are emerging as flexible solutions for a competitive edge.
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