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.
Search Results for: TITAN
“In this paper, we consider a coupled solution in which a multiphase flow simulator is coupled to an analysis approach used to extract the interfacial geometries as the flow evolves. This has been implemented using MPI to target heterogeneous nodes equipped with GPUs. The GPUs evolve the multiphase flow solution using the lattice Boltzmann method while the CPUs compute upscaled measures of the morphology and topology of the phase distributions and their rate of evolution. Our approach is demonstrated to scale to 4,096 GPUs and 65,536 CPU cores to achieve a maximum performance of 244,754 million-lattice-node updates per second (MLUPS) in double precision execution on Titan.”
Researchers at the Southern California Earthquake Centre (SCEC) used ORNL’s Titan machine to simulate a major earthquake at high frequencies up to 10Hz. The calculations will give structural engineers the data required to make predictions about the scale of the damage to buildings caused by the next big earthquake to hit the San Andreas Fault.
Researchers are using the GPU-powered Titan supercomputer to study a key molecular switch that controls cell behavior. Scientists want to manipulate cell behavior for a lot of reasons. If they can control cell functions such as movement and development, they can cripple cells and pathogens that are causing disease in the body.