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ECSS Symposium – August 2019
August 20, 2019 @ 1:00 pm - 2:00 pm EDT
Please join us for our next ECSS Symposium.
Tuesday, August 20, 10:00 AM Pacific / 1:00 PM Eastern
Join from PC, Mac, Linux, iOS or Android: https://zoom.us/j/114343187
Or iPhone one-tap : US: +16468769923,,114343187## or +16699006833,,114343187##
Or Telephone: Dial(for higher quality, dial a number based on your current location): US: +1 646 876 9923 or +1 669 900 6833 or +1 408 638 0968
Meeting ID: 114 343 187
International numbers available: https://zoom.us/zoomconference?m=Kzg5xp93d84wOReXpCZzGCWHpKACTSLh
More information about the Symposium series and links to previous presentation can be found here
Bryon Gil (PSC)
Hadoop and Spark on a Shared Resource
Hadoop, Spark, and the ecosystem of other software that interacts with them are in demand, but many of the assumptions about the typical use case for these programs don’t apply to the typical user on a shared HPC cluster. This talk will explore some of the challenges in creating a workable environment within the confines of a shared cluster and describe some of the approaches we’ve used at PSC to accommodate the needs of our users.
Laura Carrington (SDSC)
Lessons learned in Developing a coupling interface between Kinetic PUI code (Fortran) and a Global MHD code (C++)
The objective of the PI’s team was to obtain a quantitative understanding of the dynamical heliosphere, from its solar origin to its interaction with the LISM, by creating a data-driven suite of models of the Sun-to-LISM connection. To accomplish this, I worked to develop a coupling interface between a Kinetic PUI code (Fortran) and a Global MHD code (C++). The kinetic PUI code models the nonthermal (pickup) ions (PUIs) created as new populations of neutral atoms are born in the SW and LISM. The PUIs generate turbulence that heats up the thermal ions. PUIs are further accelerated to create anomalous cosmic rays (ACRs). This code was originally serial and designed to compute a single trajectory of a particle. The coupling allows the PUI code to get magnetic field data from a large Global MHD parallel simulation code and compute ~5000 trajectories in a single run. The challenges of parallelizing the PUI code and coupling its Fortran77 and Fortran90 code with the C++ Global MHD code is presented along with lessons learn in working with mixed mode codes and on TACC Stampede2.