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UID:submissions.pasc-conference.org_PASC21_sess147@linklings.com
SUMMARY:Hardware Agnostic Programming Paradigms in HPC
DESCRIPTION:Minisymposium\n\nThe advent of new supercomputing architecture
 s often challenges the current best practices, programming paradigms and p
 otentially renders state-of-the-art software outdated. Given the research 
 and development man-years spent on scientific applications, this risk shou
 ld make the HPC community consider more sustainable and long-term developm
 ent strategies. A case in point is the GPU development, where one must dec
 ide carefully the platform to target, e.g., CUDA, OpenCL, ROCm. On the oth
 er hand, there exist few examples of software that is agnostic to the unde
 rlying architecture, offering the possibility of a single code to deal wit
 h multiple architectures. Currently, scientists and engineers often develo
 p their applications for a very specific architecture, spending valuable t
 ime optimizing and tailoring their codes. Furthermore, as the code moves t
 o different platforms with different accelerators, the code branches into 
 multiple development streams, where each of them is dealing with its own p
 latform-specific issues that are solved with diverging techniques. Thus, i
 t is critical to open a wide discussion on frameworks, inherently parallel
  programming languages, compilers, platforms and a combination of them, th
 at will help the community choose a development pipeline, leading to HPC m
 odels that favor flexible, versatile and sustainable solutions.\n\nSolver-
 Agnostic Coupling for Multiscale and Multiphysics Simulations\n\nKiči
 ć, Pezzè, Salza, Koumoutsakos\n\nMultiscale and multiphysics coupling
  methodologies offer great promise for extending the size and complexity o
 f natural systems tractable to computer simulations. However, the coupling
  of diverse software solvers in a reusable fashion, in particular in an HP
 C framework, is an open problem. To the be...\n\n---------------------\nSP
 H-EXA: A Mini-App for Smoothed Particles Hydrodynamics Simulations on Hete
 rogenous HPC Architectures\n\nCavelan, Ciorba\n\nThe Smoothed Particles Hy
 drodynamics (SPH) is a particle-based, meshfree, Lagrangian method used to
  simulate multidimensional fluids with arbitrary geometries, most commonly
  employed in astrophysics, cosmology, and computational fluid-dynamics (CF
 D).<br />It is expected that these computationally-de...\n\n--------------
 -------\nScience-Driven HPC Architectures and Performance Portability in t
 he Cloud\n\nMiroslaw\n\nDesign and deployment of supercomputing architectu
 res are often constrained by physical resources, internal know-how and pol
 icies. That can be a challenge in the current era of new hardware architec
 tures, programming paradigms and constantly changing software.The cloud gi
 ves rise to a new paradigm f...\n\n---------------------\nFuthark: Painles
 s HPC on GPUs\n\nMalaspinas, El-Kharroubi\n\nThe advent of new HPC archite
 ctures such as GPUs often challenges the long known CPU-based best practic
 es. They usually offer a great improvement in performance at the cost of r
 equiring a deep understanding of the hardware from the developer who needs
  to perform very precise optimizations. In the sa...\n\n\nDomain: CS and M
 ath, Chemistry and Materials, Physics, Engineering
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