May 11, 2020
Intel and the University of Pennsylvania today announced a collaboration involving 29 international medical centers to train models to recognize brain tumors. The project is part of the Informatics Technology for Cancer Research (ITCR) program of the National Cancer Institute (NCI) and will use ‘federated learning architecture’ to mine relevant data while maintaining... Read more…
July 29, 2019
The European-funded Human Brain Project (HBP) has stirred its share of controversy over the years so perhaps it’s not surprising that The Atlantic should tak Read more…
March 1, 2018
Life sciences is an interesting lens through which to see HPC. It is perhaps not an obvious choice, given life sciences’ relative newness as a heavy user of H Read more…
February 12, 2018
Optalysys, a U.K company seeking to commercialize optical co-processor technology, today announced completion of its Genetic Search System (GENESYS) project con 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…
May 31, 2017
Cancer is quite possibly the ultimate in HPC problems, as this contributed feature from TACC science writer Aaron Dubrow shows. Read more…
April 26, 2017
Biomolecule structure prediction has long been challenging not least because the relevant software and workflows often require high-end HPC systems that many bi 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…
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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