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DTSTAMP:20210916T132529Z
LOCATION:Ernesto Bertarelli
DTSTART;TZID=Europe/Stockholm:20210707T140000
DTEND;TZID=Europe/Stockholm:20210707T160000
UID:submissions.pasc-conference.org_PASC21_sess144@linklings.com
SUMMARY:Developing Scientific Codes for Predictive Simulations on Massivel
 y Parallel Heterogeneous Computing Platforms: Integrating Extreme-Scale Co
 mputation, Data Analysis and Visualization, Part I
DESCRIPTION:Minisymposium\n\nIn this minisymposium we address an important
  question: how do we future proof scientific codes on a rapidly changing h
 ardware landscape of heterogeneous computing platforms which, at present c
 onsists of CPU+GPU systems, with significant differences between the GPUs.
  Given that the language(s)/API(s)/Pragma(s) to offload instructions/data 
 from/to the GPUs on these systems (e.g. SYCL, HIP, OpenMP-5.x) are very di
 fferent, the task of refactoring large scientific codes, each with their o
 wn dependencies on libraries, is a daunting one. Consequently, the questio
 ns that are uppermost in minds of code developers are: a) how feasible is 
 it to use a high level hardware abstraction layer (HAL) that would make co
 des portable across the various heterogeneous computing platforms, and b) 
 will these HALs continue to be developed when there are other accelerators
  that become part of the hardware landscape? In this mini-symposia we shin
 e the spotlight on one such HAL, namely, Kokkos, that is being developed b
 y the US Department of Energy, as part of the exascale computing program (
 ECP).  We have four talks on the usability of Kokkos, on the development o
 f mesh and particle based scientific codes, and on a specialized scientifi
 c library, all of which leverage Kokkos for portability.\n\nEnsemble Compu
 tations - Present and Future of Engineering Computing\n\nLaccarino\n\nComp
 uter simulations are pervasive in science and engineering. Computations, t
 ogether with theoretical analysis and experiments, constitute the foundati
 on for building knowledge, whether it be to investigate a new physical phe
 nomena or to assess the performance of an innovative device. However, a si
 ...\n\n---------------------\n[Withdrawn]\n\n\n\n[Withdrawn]\n\n----------
 -----------\nPerformance Portability of the Albany Multi-Physics Finite El
 ement Code on the Road to Exascale\n\nTezaur, Watkins\n\nAs HPC architectu
 res become more heterogeneous, climate codes must adapt to take advantage 
 of potential performance capabilities. This talk focuses on attaining perf
 ormance-portability of the Sandia Albany multi-physics C++ finite element 
 code. We will discuss our efforts in transitioning the finite...\n\n------
 ---------------\nAutomatic Differentiation of C++ Codes on Emerging Manyco
 re Architectures with Sacado\n\nPhipps, Pawlowski, Trott\n\nAutomatic diff
 erentiation (AD) is a well-known technique for evaluating analytic derivat
 ives of calculations implemented on a computer, with numerous software too
 ls available for incorporating AD technology into complex applications.  H
 owever, a growing challenge for AD is the efficient differentiat...\n\n\nD
 omain: CS and Math, Emerging Applications, Physics, Engineering
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