Industry Compute Cluster Enables Innovative Research and Development for Health and Life Sciences

February 28, 2022

University-purchased High Performance Computing (HPC) systems are typically funded to support principal investigators and their teams. But in 2014, the Center for Computational Research (CCR) at the University at Buffalo (UB) created a dedicated cluster to give businesses of Western New York access to large-scale computing resources they would either have to build on their own using public cloud services... Read more…

AWS HPC in Healthcare & Life Sciences Virtual Event

April 9, 2021

Join us for the AWS HPC Healthcare & Life Sciences virtual event on May 5th, with AWS partner NVIDIA. Learn from AWS customers, partners, solution architect Read more…

2020 HPCwire Awards Celebrate Supercomputing Achievements in the Sciences

December 23, 2020

It was not a typical year for supercomputing in the sciences. When the pandemic struck, virtually every research supercomputer in the world pivoted much of its Read more…

HPC in Life Sciences 2020 Part 2: Setting the Stage for AI’s Opening Act

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…

HPC in Life Sciences 2020 Part 1: Rise of AMD, Data Management’s Wild West, More 

May 20, 2020

Given the disruption caused by the COVID-19 pandemic and the massive enlistment of major HPC resources to fight the pandemic, it is especially appropriate to re Read more…

ML and Good Luck Take Swipe at COVID-19

April 30, 2020

Not surprisingly the scramble to find treatments for COVID-19 is making productive use of AI. This week Fernanda Foertter, formerly of Nvidia and now a consult Read more…

ORNL Team Develops AI-based Cancer Text Mining Tool on Summit

February 13, 2020

A group of Oak Ridge National Laboratory researchers working on the Summit supercomputer has developed a new neural network tool for fast extraction of informat Read more…

The State of Biomedical Research and HPC

April 12, 2019

In this Expert Insights article from the SC19 blog, Ari E. Berman, Ph.D. -- vice president of consulting at BioTeam, Inc. -- discusses the intersection of HPC a Read more…

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How Direct Liquid Cooling Improves Data Center Energy Efficiency

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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Sponsored by CoolIT


Transforming Industrial and Automotive Manufacturing

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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Sponsored by TotalCAE

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