February 26, 2020
While not the novel coronavirus that is now sweeping across the world, the 2009 H1N1 flu pandemic (pH1N1) infected up to 21 percent of the global population and Read more…
January 28, 2020
The new year marked a somber milestone for the planet: 2019 turned out to be the second-hottest year on record (inched out only by 2016, which was hotter by 0.0 Read more…
November 27, 2019
In this bimonthly feature, HPCwire highlights newly published research in the high-performance computing community and related domains. From parallel programming to exascale to quantum computing, the details are here. Read more…
October 30, 2019
Near Munich, at the Leibniz Supercomputing Centre, magnificent work was afoot. The researchers (a team from Leibniz, Intel and the Australian National Universit Read more…
October 9, 2019
Offshore wind farms offer a number of benefits; many of the areas with the strongest winds are located offshore, and siting wind farms offshore ameliorates many of the land use concerns associated with onshore wind farms. Some estimates say that, if leveraged, offshore wind power... Read more…
August 20, 2019
With advanced imaging and satellite technologies, it’s easier than ever to see a galaxy – but understanding how they form (a process that can take billions Read more…
August 19, 2019
Shockwaves play roles in everything from high-speed aircraft to supernovae – and now, supercomputer-powered research from the Texas A&M University and the Read more…
March 29, 2018
In a series of challenging high performance computing applications in the life sciences, UberCloud’s HPC containers have been packaged recently with several scientific workflows and application data to simulate complex phenomena in human’s heart and brain. Read more…
Five Recommendations to Optimize Data Pipelines
When building AI systems at scale, managing the flow of data can make or break a business. The various stages of the AI data pipeline pose unique challenges that can disrupt or misdirect the flow of data, ultimately impacting the effectiveness of AI storage and systems.
With so many applications and diverse requirements for data types, management systems, workloads, and compliance regulations, these challenges are only amplified. Without a clear, continuous flow of data throughout the AI data lifecycle, AI models can perform poorly or even dangerously.
To ensure your AI systems are optimized, follow these five essential steps to eliminate bottlenecks and maximize efficiency.
Karlsruhe Institute of Technology (KIT) is an elite public research university located in Karlsruhe, Germany and is engaged in a broad range of disciplines in natural sciences, engineering, economics, humanities, and social sciences. For institutions like KIT, HPC has become indispensable to cutting-edge research in these areas.
KIT’s HoreKa supercomputer supports hundreds of research initiatives including a project aimed at predicting when the Earth’s ozone layer will be fully healed. With HoreKa, projects like these can process larger amounts of data enabling researchers to deepen their understanding of highly complex natural processes.
Read this case study to learn how KIT implemented their supercomputer powered by Lenovo ThinkSystem servers, featuring Lenovo Neptune™ liquid cooling technology, to attain higher performance while reducing power consumption.
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