If you haven’t heard, there is a new film about Alan Turing, one of the original computer scientists to ponder the question: Can machines think? Over at Kill Screen, David Shimomura writes that it may be time to put the Turing Test to bed.
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.”
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.”