After a long dry spell triggered in part by the global downturn in the economy, manufacturing is enjoying an economic and technological resurgence. According to the Institute of Supply Management (ISM), American manufacturing continues to improve.
Nimbix is a pure high performance computing (HPC) cloud built for volume, speed and simplicity. “We give people the tools and the processing power to solve their biggest, toughest problems. We give you the freedom to imagine new possibilities, to test the limits of reality, and to model the future. We keep you one step ahead of the compounding problems of processing speed and infrastructure costs. And best of all, we do it faster, better, and more economically. We give you instant access and simple interfaces. We give you options and control. It’s supercomputing made super human.”
In this special guest feature from Scientific Computing World, Robert Roe writes that the era of data-centric HPC is upon us. He then investigates how data storage companies are rising to the challenge. In August 2014, a ‘Task Force on High Performance Computing’ reported to the US Department of Energy that data-centric computing will be […]
Over at ORNL, Katie Elyce Jones writes that the US Department of Energy (DOE) is mining for alternatives to rare earth magnetic material, an obviously scarce resource. For manufacturers of electric motors and other devices, procuring these materials involves environmental concerns from mining rare earth metals, their costs, and an unpredictable supply chain.
Has Cloud HPC finally made it’s way to the Missing Middle? In this slidecast, Jason Stowe from Cycle Computing describes how the company enabled HGST to spin up a 70,000-core cluster from AWS and then return it 8 hours later. “One of HGST’s engineering workloads seeks to find an optimal advanced drive head design, taking 30 days to complete on an in-house cluster. In layman terms, this workload runs 1 million simulations for designs based upon 22 different design parameters running on 3 drive media Running these simulations using an in-house, specially built simulator, the workload takes approximately 30 days to complete on an internal cluster.”