March 22, 2023
Until the launch of Pawsey’s Setonix system last year, NCI’s Gadi system – launched in 2020 – was Australia’s most powerful publicly ranked supercompu Read more…
February 12, 2021
Virtually all of the expected sea level rise from climate change will result from the melting of massive ice sheets and glaciers that rest comfortably above sea Read more…
June 25, 2020
The 55th installment of the Top500 list saw strong activity in the leadership segment with four new systems in the top ten and a crowning achievement from the f Read more…
June 10, 2020
The rise of AI – machine and deep learning – in life sciences has stirred the same excitement and same ‘fits-and-starts’ reality as elsewhere. Today, AI is mostly used in two areas: 1) embedded in life science instruments such as cryo-electron microscopes where it assists in feature recognition and lies largely hidden from users, and... Read more…
May 11, 2020
Many billions of years ago, the universe was a swirling pool of gas. Unraveling the story of how we got from there to here isn’t an easy task, with many simul Read more…
November 7, 2017
Enlisting computational technologies in the war on cancer isn’t new but it has taken on an increasingly decisive role. At SC17, Eric Stahlberg, director of th Read more…
January 4, 2017
Twenty years ago high performance computing was nearly absent from life sciences. Today it’s used throughout life sciences and biomedical research. Genomics and the data deluge from modern lab instruments are the main drivers, but so is the longer-term desire to perform predictive simulation in support of Precision Medicine (PM). There’s even a specialized life sciences supercomputer, ‘Anton’ from D.E. Shaw Research, and the Pittsburgh Supercomputing Center is standing up its second Anton 2 and actively soliciting project proposals. There’s a lot going on. Read more…
December 7, 2016
Sometime in Q2 2017 the first ‘results’ of the Joint Design of Advanced Computing Solutions for Cancer (JDACS4C) will become publicly available according to Rick Stevens. He leads one of three JDACS4C pilot projects pressing deep learning (DL) into service in the War on Cancer. Read more…
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.
Divergent Technologies developed a digital production system that can revolutionize automotive and industrial scale manufacturing. Divergent uses new manufacturing solutions and their Divergent Adaptive Production System (DAPS™) software to make vehicle manufacturing more efficient, less costly and decrease manufacturing waste by replacing existing design and production processes.
Divergent initially used on-premises workstations to run HPC simulations but faced challenges because their workstations could not achieve fast enough simulation times. Divergent also needed to free staff from managing the HPC system, CAE integration and IT update tasks.
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