October 10, 2016
The democratization of high performance computing (HPC) and the converged datacenter have been topics of late in the IT community. This is where HPC, high performance data analytics (big data/Hadoop workloads), and enterprise office applications all run on a common clustered compute architecture with a single file system and network. Read more…
May 16, 2016
Nielsen has collaborated with Intel to migrate important pieces of HPC technology into Nielsen’s big-data analytic workflows including MPI, mature numerical libraries from NAG (the Numerical Algorithms Group), as well as custom C++ analytic codes. This complementary hybrid approach integrates the benefits of Hadoop data management and workflow scheduling with an extensive pool of HPC tools and C/C++ capabilities for analytic applications. In particular, the use of MPI reduces latency, permits reuse of the Hadoop servers, and co-locates the MPI applications close to the data. Read more…
November 13, 2015
The rapid maturation of the Apache Hadoop ecosystem has caught the eyes of HPC professionals who are eager to take advantage of emerging big data tools, such as Read more…
October 5, 2015
Storage and data management have become the perhaps the most challenging computational bottlenecks in life sciences (LS) research. The volume and diversity of d Read more…
March 30, 2015
In the third of a four-part installation, Jay Etchings, director of operations for research computing, and senior HPC architect at Arizona State University, explores the brave new world of open big data alternatives to traditional bare metal HPC+MPI+InfiniBand for research computing. Read more…
January 27, 2015
As we turn the page to 2015, we’re taking a look back at the top stories from 2014 to reflect on just how far the fastest machines in the world (and the peopl Read more…
December 16, 2014
The rich culture and distinctive charm of the city of New Orleans served as the backdrop for this year's annual Supercomputing Conference (SC14). If you haven't Read more…
October 15, 2014
There has been little doubt that the convergence of traditional high performance computing with advanced analytics has been steadily underway, fed in part by a Read more…
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.
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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