Thies J, Galgon M, Shahzad F, Alvermann A, Kreutzer M, Pieper A, Röhrig-Zöllner M, Basermann A, Fehske H, Hager G, Lang B, Wellein G (2016)
Publication Status: Published
Publication Type: Authored book, Volume of book series
Publication year: 2016
Publisher: Springer Verlag
Book Volume: 113
Pages Range: 295-316
ISBN: 9783319405261
DOI: 10.1007/978-3-319-40528-5_13
As we approach the exascale computing era, disruptive changes in the software landscape are required to tackle the challenges posed by manycore CPUs and accelerators. We discuss the development of a new ‘exascale enabled’ sparse solver repository (the ESSR) that addresses these challenges—from fundamental design considerations and development processes to actual implementations of some prototypical iterative schemes for computing eigenvalues of sparse matrices. Key features of the ESSR include holistic performance engineering, tight integration between software layers and mechanisms to mitigate hardware failures.
APA:
Thies, J., Galgon, M., Shahzad, F., Alvermann, A., Kreutzer, M., Pieper, A.,... Wellein, G. (2016). Towards an exascale enabled sparse solver repository. Springer Verlag.
MLA:
Thies, Jonas, et al. Towards an exascale enabled sparse solver repository. Springer Verlag, 2016.
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