Daniel Elvira’s paper “Impact of Detector Simulation on Particle Physics Collider Experiments” was accepted to the Physics Reports of Physics Letters. Here is the arXiv reference (until published).
November 2016 – ASCR Discovery: HEPCloud formation
Fermilab’s Scientific Computing Division launched a project in June 2015 called HEPCloud (the HEP stands for “high-energy physics”). The group is developing an interface within HEPCloud that will streamline the movement of jobs among a variety of computing resources, for instance local clusters and computer grids such as the Open Science Grid (OSG) to commercial clouds to high-performance machines at national labs.
November 14, 2016 – Google Platform Blog: Google Cloud, HEPCloud and probing the nature of Nature
At SC16, Google and Fermilab demonstrated how high-energy physics workflows can benefit from the elastic Google Cloud infrastructure. The demonstration involved computations that simulate billions of particles from the CMS detector at the LHC. Using Fermilab’s HEPCloud facility, the goal was to burst CMS workflows to Compute Engine instances for one week.
September 7, 2016 – CIOReview: Analytics and simulation – powerful tools in business
The most significant change ahead will be in the area of high-performance computing. The United States will soon enter the era of Exascale computing. This new era will be marked by an ecosystem of very powerful, highly parallel processors supported by networking, caching and data storage technologies. These high-performance computing platforms will be a game changer, not just for science but also for corporate America.