January 20, 2023
UT-Battelle, which manages Oak Ridge National Laboratory (ORNL) for the U.S. Department of Energy, has appointed Jeff Smith as interim director for the lab as t Read more…
June 28, 2022
With the Linpack exaflops milestone achieved by the Frontier supercomputer at Oak Ridge National Laboratory, the United States is turning its attention to the next crop of exascale machines, some 5-10x more performant than Frontier. At least one such system is being planned for the 2025-2030 timeline, and the DOE is soliciting input from the vendor community... Read more…
May 30, 2022
In April 2018, the U.S. Department of Energy announced plans to procure a trio of exascale supercomputers at a total cost of up to $1.8 billion dollars. Over the ensuing four years, many announcements were made, many deadlines were missed, and a pandemic threw the world into disarray. Now, at long last, HPE and Oak Ridge National Laboratory (ORNL) have announced that the first of those... Read more…
May 16, 2022
The Department of Energy's Oak Ridge National Laboratory (ORNL) has selected Doug Kothe to be the next Associate Laboratory Director for its Computing and Computational Sciences Directorate (CCSD), HPCwire has learned. Kothe will fill the vacancy created by the retirement of Jeff Nichols, whose last day is July 1. Kothe will transition into the position on June 6. As director of the United States' Exascale Computing Project... Read more…
October 1, 2021
Last year, Summit was one of the first major supercomputing deployments in the fight against COVID-19, heralding a deluge that crescendoed with the cumulative efforts of virtually every research system in the world. While news around COVID-oriented supercomputing research... Read more…
August 12, 2021
In 2020, residential and commercial buildings in the U.S. accounted for 40 percent of all energy consumption in the country – and with climate change rapidly Read more…
July 27, 2021
Air travel is notoriously carbon-inefficient, with many airlines going as far as to offer purchasable carbon offsets to ease the guilt over large-footprint trav Read more…
May 7, 2019
It’s perhaps obvious that the fundamental reason for building expensive exascale computers is to drive science and industry forward, realizing the resulting b 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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