July 19, 2019
As climate change looms, researchers are scrambling to answer the question of how a warming planet will affect the frequency and severity of already-deadly hurr Read more…
September 23, 2013
Climate scientists use DOE supercomputers to provide independent confirmation of global land warming since 1901 – further evidence of anthropogenic global climate change. Project shows "predictions" not only possible, but also highly accurate... Read more…
March 14, 2013
The top research stories of the week include the 2012 Turing Prize winners; an examination of MIC acceleration in short-range molecular dynamics simulations; a new computer model to help predict the best HIV treatment; the role of atmospheric clouds in climate change models; and more reliable HPC cloud computing. Read more…
February 13, 2013
The Office of Fossil Energy's National Energy Technology Laboratory is the proud owner of a brand new SGI supercomputer. Named High-Performance Computer for Energy and the Environment, or HPCEE for short, the 500 teraflops machine will help NETL scientists undertake a broad range of energy and environmental research, with a focus on coal, natural gas and oil. Read more…
April 17, 2012
Report accuses tech giants of engaging in "dirty energy" practices. Read more…
May 12, 2011
The first international effort to bring climate simulation software onto the next-generation exascale platforms got underway earlier this spring. The project, named Enabling Climate Simulation (ECS) at Extreme Scale, is being funded by the G8 Research Councils Initiative on Multilateral Research and brings together some of the heavy-weight organizations in climate research and computer science, not to mention some of the top supercomputers on the planet. Read more…
May 12, 2011
The challenge of climate change brings out the worst in us. Read more…
March 14, 2011
Since the dawn of high performance computing, climate modeling has been one of its most demanding domains. The hunger for computational capability is unending, as researchers work to incorporate more of nature's complexity into their models at higher resolutions. HPCwire talked with NOAA/GFDL Deputy Director Brian Gross and Venkatramani Balaji, head of the lab's Modeling Systems Group. 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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