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Implementation of a non‐linear solver on heterogeneous architectures
Author(s) -
Carracciuolo Luisa,
Lapegna Marco
Publication year - 2018
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.4903
Subject(s) - computer science , exploit , symmetric multiprocessor system , solver , scheduling (production processes) , context (archaeology) , software , parallel computing , distributed computing , mathematical optimization , operating system , programming language , mathematics , paleontology , computer security , biology
Summary Heterogeneous architectures seem to be not only the present but also the future of the HPC world (eg, see the Exascale Project of U.S. Department of Energy or the European Horizon 2020 FET Proactive ‐ High Performance Computing Call). A lot of work has been done in developing software libraries useful to solve problem described by linear equations on such computing systems. Instead, not the same effort is spent in such context for the implementation of software modules to be used to solve non‐linear problem. In this work, we present some experiences related with the implementation of a Quasi‐Newton method able to exploit, using a combination of “Task Scheduling,” “matrix‐free,” and “look‐ahead” approaches, both the CPUs and the GP‐GPUs components of a heterogeneous system.