March 14, 2016
At the 2016 ISC High Performance conference this June, distinguished Sandia computational combustion scientist Jacqueline H. Chen will deliver a keynote highlighting the latest advances in combustion modeling and simulation. In this interesting and informative Q&A, Chen describes the challenges and opportunities involved in preparing combustion codes for exascale machines. Read more…
August 6, 2015
Among the chief challenges of deploying useful exascale machines, resilience looms large. Today's error rates combined with tomorrow's node counts cannot susta Read more…
July 2, 2015
Today’s launch by IBM, NVIDIA, and Mellanox of a new POWER Acceleration and Design Center in Montpellier, France, ratchets up their campaign to attract a wide Read more…
March 26, 2015
The Indian government has approved a seven-year supercomputing program worth $730 million (Rs. 4,500-crore) intended to restore the nation's status as a world- Read more…
October 6, 2014
India's plans to be a world-class computing power are taking shape as the nation's government lays out its strategy to build a vast supercomputing grid, compri Read more…
July 15, 2014
Quick obsolescence goes hand-in-hand with cutting-edge technology. Supercomputing is no exception, and it's not unusual for these great machines to have lifespa Read more…
June 5, 2014
In supercomputing, it is often the case that top systems are only around for about half a decade. With the breaking of the petascale barrier now fixed in the r Read more…
April 15, 2014
German researchers are helping to push back the goalposts on large-scale simulation. Using the the IBM “SuperMUC” high performance computer at the Leibniz S Read more…
As Federal agencies navigate an increasingly complex and data-driven world, learning how to get the most out of high-performance computing (HPC), artificial intelligence (AI), and machine learning (ML) technologies is imperative to their mission. These technologies can significantly improve efficiency and effectiveness and drive innovation to serve citizens' needs better. Implementing HPC and AI solutions in government can bring challenges and pain points like fragmented datasets, computational hurdles when training ML models, and ethical implications of AI-driven decision-making. Still, CTG Federal, Dell Technologies, and NVIDIA unite to unlock new possibilities and seamlessly integrate HPC capabilities into existing enterprise architectures. This integration empowers organizations to glean actionable insights, improve decision-making, and gain a competitive edge across various domains, from supply chain optimization to financial modeling and beyond.
Data centers are experiencing increasing power consumption, space constraints and cooling demands due to the unprecedented computing power required by today’s chips and servers. HVAC cooling systems consume approximately 40% of a data center’s electricity. These systems traditionally use air conditioning, air handling and fans to cool the data center facility and IT equipment, ultimately resulting in high energy consumption and high carbon emissions. Data centers are moving to direct liquid cooled (DLC) systems to improve cooling efficiency thus lowering their PUE, operating expenses (OPEX) and carbon footprint.
This paper describes how CoolIT Systems (CoolIT) meets the need for improved energy efficiency in data centers and includes case studies that show how CoolIT’s DLC solutions improve energy efficiency, increase rack density, lower OPEX, and enable sustainability programs. CoolIT is the global market and innovation leader in scalable DLC solutions for the world’s most demanding computing environments. CoolIT’s end-to-end solutions meet the rising demand in cooling and the rising demand for energy efficiency.
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