July 15, 2022
The direction that exascale supercomputing will need to follow and the continuing value of visual and other non-computational experts in computer visualizations were the focus of the final two plenary sessions at the PEARC22 conference in Boston on July 13. Jack Dongarra, director of research staff and professor at the Oak Ridge National Laboratory and the University of Tennessee, Knoxville... Read more…
July 13, 2022
Because humans are by our nature biased, our data – and our code – will necessarily be as well, said Ayanna Howard, dean of The Ohio State University College of Engineering. But there is hope: Sometimes we can leverage human bias to beneficial ends. The trick is that we need to build our systems so that, when we identify bad outcomes from bias, we can fix them rapidly. Read more…
August 5, 2021
The PEARC21 (Practice & Experience in Advanced Research Computing) Student Program featured a Cybersecurity Careers Panel. Five experts shared lessons learn Read more…
July 23, 2021
Over the past few years, the NSF has funded a number of HPC systems to further supply the open research community with computational resources to meet that community’s changing and expanding needs. A review of these systems at the PEARC21 conference (July 19-22) highlighted... Read more…
July 21, 2021
AI analysis of social media poses a double-edged sword for social work and addressing the needs of at-risk youths, said Desmond Upton Patton, senior associate d Read more…
July 21, 2021
Early use of Cerebras’ CS-1 server and wafer-scale engine (WSE) has demonstrated promising acceleration of machine-learning algorithms, according to participa Read more…
July 29, 2020
The tech world will need to become more diverse if it is to thrive and survive, said Cherri Pancake, director of the Northwest Alliance for Computational Resear Read more…
August 5, 2019
The National Science Foundation is well positioned to support national priorities, as new NSF-funded HPC systems to come online in the upcoming year promise to Read more…
Data center infrastructure running AI and HPC workloads requires powerful microprocessor chips and the use of CPUs, GPUs, and acceleration chips to carry out compute intensive tasks. AI and HPC processing generate excessive heat which results in higher data center power consumption and additional data center costs.
Data centers traditionally use air cooling solutions including heatsinks and fans that may not be able to reduce energy consumption while maintaining infrastructure performance for AI and HPC workloads. Liquid cooled systems will be increasingly replacing air cooled solutions for data centers running HPC and AI workloads to meet heat and performance needs.
QCT worked with Intel to develop the QCT QoolRack, a rack-level direct-to-chip cooling solution which meets data center needs with impressive cooling power savings per rack over air cooled solutions, and reduces data centers’ carbon footprint with QCT QoolRack smart management.
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