“The notion of High Performance Computing is evolving over time. So what was deemed a leadership class computer five years ago is a little bit obsolete. We are talking about the evolution not only in the hardware but also in the programming models because there are more and more cores available. Orchestrating the calculations in the way that can effectively take advantage of parallelism takes a lot of thinking and a lot of redesign of the algorithms behind the calculations.”
The Southern California Earthquake Center (SCEC), using the power of the petascale Blue Waters Supercomputer at the National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, has developed a physics-based model called CyberShake that simulates how an earthquake works rather than approximating the tremors based on observations.
In this video from the Nvidia booth at SC14, Terri Quinn from LLNL presents: A Livermore Perspective on Next-Generation Computing. “Terri is responsible for an organization consisting of three divisions with over 400 technical staff working in high-performance computing, computer security, and enterprise computing. Livermore Computing (LC), LLNL’s high performance computing organization, operates some of the most advanced production classified and unclassified computing environments.”
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.
“Optimizing HPC Applications with Intel Cluster Tools takes the reader on a tour of the fast-growing area of high performance computing and the optimization of hybrid programs. These programs typically combine distributed memory and shared memory programming models and use the Message Passing Interface (MPI) and OpenMP for multi-threading to achieve the ultimate goal of high performance at low power consumption on enterprise-class workstations and compute clusters. The book focuses on optimization for clusters consisting of the Intel Xeon processor, but the optimization methodologies also apply to the Intel Xeon Phi coprocessor and heterogeneous clusters mixing both architectures.”