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Intel, UPenn Launch Massive Multi-center AI Effort to Refine Brain Cancer Models
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…
Servers Headed to Junkyard Find 2nd Life Fighting Cancer in Clusters
March 20, 2020
Ottawa-based charitable organization Cancer Computer is on a mission to stamp out cancer and other life-threatening diseases, including coronavirus, by putting 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…
Stanford Team Builds Particle Accelerator on a Chip
January 9, 2020
When most of us think of particle accelerators, we think of massive feats of engineering like CERN’s Large Hadron Collider, which remains the largest machine Read more…
Argonne Supercomputer Accelerates Cancer Prediction Research
August 13, 2019
In the fight against cancer, early prediction, which drastically improves prognoses, is critical. Now, new research by a team from Northwestern University – a Read more…
Cancer Research: A Supercomputing Perspective
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…
Volunteer Computing Project Helps Smash Childhood Cancer
February 1, 2017
On Tuesday, IBM announced that its World Community Grid will provide free virtual supercomputing power to a global team of scientists engaged in the fight again Read more…
Enlisting Deep Learning in the War on Cancer
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…
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In this era, expansion in digital infrastructure capacity is inevitable. Parallel to this, climate change consciousness is also rising, making sustainability a mandatory part of the organization’s functioning. As computing workloads such as AI and HPC continue to surge, so does the energy consumption, posing environmental woes. IT departments within organizations have a crucial role in combating this challenge. They can significantly drive sustainable practices by influencing newer technologies and process adoption that aid in mitigating the effects of climate change.
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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.
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