ecrc/ksvd: The KAUST SVD (KSVD) is a high performance software framework for computing a dense SVD on distributed-memory manycore systems.

Abstract
The KAUST SVD (KSVD) is a high performance software framework for computing a dense SVD on distributed-memory manycore systems.

Publisher
Github

Additional Links
https://github.com/ecrc/ksvd

Relations
Is Supplement To:
  • [Dissertation]
    Sukkari, D. (2019). High Performance Polar Decomposition on Manycore Systems and its application to Symmetric Eigensolvers and the Singular Value Decomposition. KAUST Research Repository. https://doi.org/10.25781/KAUST-R20B1. DOI: 10.25781/KAUST-R20B1 Handle: 10754/652466
  • [Article]
    Sukkari, D., Ltaief, H., Esposito, A., & Keyes, D. (2019). A QDWH-based SVD Software Framework on Distributed-memory Manycore Systems. ACM Transactions on Mathematical Software, 45(2), 1–21. doi:10.1145/3309548. DOI: 10.1145/3309548 Handle: 10754/626212

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