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08.10.2013
November 1, 2013 is the deadline for entries in International Supercomputing Conference (ISC '14) Student Cluster Competition.
ISC '14 will be held in Leipzig, Germany on June 22-26, 2014
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18.06.2015
XC40 before the system is placed into regular service.
The Excalibur system comes with 101,184 processors, and the Stanford team had access to 22,00 of them. The team was working on a new scalability ... US Army’s Excalibur System Solves 10 Billion Equations in 3 Minutes
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25.08.2016
than fabricating 22,000 cables on site. The team also replaced the copper power cables with aluminum cables at some points, saving 20 percent in material costs.
Other institutions with Trinity
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18.04.2018
, and possible subjects include “traditional simulation-based projects,” as well as big data and machine learning proposals.
The deadline for proposals is June 22, 2018. See the DOE website for more on proposal
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30.07.2019
News, “The data breach that occurred on March 22nd and 23rd this year allowed attackers to steal information of customers who had applied for a credit card between 2005 and 2019.”
Capital One had
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20.08.2019
in a shipping container. The $12 million IBM system will include an on-board uninterruptible power supply, chilled water cooling, and a fire suppression system. The system comes with 22 nodes for machine learning
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19.08.2020
August 22, 2022.
XSEDE is an important presence within the US HPC community, offering HPC cycles, training, applications, science gateways, and other resources to qualifying projects. According to XSEDE
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22.05.2023
: For example, you can quickly set up a small, fast Kubernetes cluster on a local machine in minikube, in K3d, or with Docker Desktop or Rancher Desktop. Additionally, you can quickly and easily set up a full
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22.05.2023
executed by this core cannot access the other cores. Finally, a separate core implements the WLAN subsystem. The MCU is dual-band and compliant with the 802.11a/b/g/n standards. The MT3620 isolates
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25.09.2023
-dashboards folder of the cloned kepler directory. My modified version, shown in Figure 8 (workload on the Haswell node, comparable to Figure 3) and Figure 9 (on the Skylake node, comparable to Figure 4), also
