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CSPAN2 Key Capitol Hill Hearings December 28, 2015

Other than a gasoline engine. They will be connected to each other in ways that will make the driving experience safer and more enjoyable and they will more and more relieved the human being of the driving task. Because we know that humans are fallible and will have crashes and cars, the Automobile Industry and the national Highway Transportation Safety Administration or nhtsa has spent the last half century designing and building automobiles to be safer when they crash with innovations like seatbelts and airbags. Today we are designing and building automobiles to avoid collisions entirely with technologies like for him to backup cameras and blind spots warnings. Increasingly these technologies allow the machine to assist the driving task itself when the human driver doesnt react appropriately enough to approve a crash. Soon, technologies like vehicle to Vehicle Communications will be deployed with the promise to impact over 80 of the crashes on todays roads. The savings in terms of li

GMD - Comparing the Performance of Julia on CPUs versus GPUs and Julia-MPI versus Fortran-MPI: a case study with MPAS-Ocean (Version 7 1)

Abstract. Some programming languages are easy to develop at the cost of slow execution, while others are fast at runtime but much more difficult to write. Julia is a programming language that aims to be the best of both worlds – a development and production language at the same time. To test Julia s utility in scientific high-performance computing (HPC), we built an unstructured-mesh shallow water model in Julia and compared it against an established Fortran-MPI ocean model, the Model for Prediction Across Scales–Ocean (MPAS-Ocean), as well as a Python shallow water code. Three versions of the Julia shallow water code were created: for single-core CPU, graphics processing unit (GPU), and Message Passing Interface (MPI) CPU clusters. Comparing identical simulations revealed that our first version of the Julia model was 13 times faster than Python using NumPy, where both used an unthreaded single-core CPU. Further Julia optimizations, including static typing and removing implicit mem

Sandia, Intel seek novel memory tech to support stockpile mission

Sandia, Intel seek novel memory tech to support stockpile mission
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