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On the modification of an eigenvalue problem that preserves an eigenspace.

. J. Comput. Appl. Math., 235 (18): 5432-5440 (2011)

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Deep Learning Recommendation Model for Personalization and Recommendation Systems, , , , , , , , , and 14 other author(s). (2019)cite arxiv:1906.00091Comment: 10 pages, 6 figures.A Block-Oriented, Parallel and Collective Approach to Sparse Indefinite Preconditioning on GPUs., , , and . IA3@SC, page 1-10. IEEE, (2018)On the Dimensionality of Embeddings for Sparse Features and Data.. CoRR, (2019)Spatial-Winograd Pruning Enabling Sparse Winograd Convolution., , and . CoRR, (2019)Bandana: Using Non-volatile Memory for Storing Deep Learning Models., , , , , , , and . CoRR, (2018)Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale., , , , , , , , , and 8 other author(s). CoRR, (2021)High-performance, Distributed Training of Large-scale Deep Learning Recommendation Models., , , , , , , , , and 41 other author(s). CoRR, (2021)RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing., , , , , , , , , and 11 other author(s). CoRR, (2019)Supporting Massive DLRM Inference through Software Defined Memory., , , , , , , , , and 10 other author(s). ICDCS, page 302-312. IEEE, (2022)Disaggregated Multi-Tower: Topology-aware Modeling Technique for Efficient Large-Scale Recommendation., , , , , , , , , and 4 other author(s). CoRR, (2024)