March 28, 2013
There are a few themes that run along this week’s pick for the top research items that emerged over the last seven days. Among these are making systems running HPC applications more efficient, both at the VM and storage layers. Further, we present research on energy efficiency, job scheduling and resource sharing. Read more…
February 14, 2013
The top research stories of the week have been hand-selected from major science centers, prominent journals and leading conference proceedings. Here's another diverse set of items, including whole brain simulation; a look at High Performance Linpack; the coming GPGPU cloud paradigm; heterogenous GPU programming; and a comparison of accelerator-based servers. Read more…
September 11, 2012
While HPC cloud is still in the early stages of adoption, it is becoming more commonplace. Various hurdles must be overcome and users must become comfortable with new usage models, but as technology ramps up to meet these challenges, the benefits of a cloud model will attract more and more HPC users. Read more…
October 3, 2011
Vendors in the high performance cloud space were put in the hot seat during last week's ISC Cloud event in Mannheim, Germany. Representatives from twelve companies, including HP, Intel, SGI, Bull and others, took part in a "gameshow" event that featured tough questions and a competitive reason to answer them thoroughly. Read more…
November 2, 2010
Last week leading figures from the HPC and cloud realm gathered in Frankfurt, Germany, for the ISC Cloud Conference, which was organized by the same team that puts together the long-running International Supercomputing Conference each year. The conference drew leading speakers from industry and academia to discuss the challenges, benefits and future of cloud for high-performance computing. Read more…
Making the Most of Today’s Cloud-First Approach to Running HPC and AI Workloads With Penguin Scyld Cloud Central™
Bursting to cloud has long been used to complement on-premises HPC capacity to meet variable compute demands. But in today’s age of cloud, many workloads start on the cloud with little IT or corporate oversight. What is needed is a way to operationalize the use of these cloud resources so that users get the compute power they need when they need it, but with constraints that take costs and the efficient use of existing compute power into account. Download this special report to learn more about this topic.
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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