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Distributed out-of-memory svd on cpu/gpu architectures
We propose an efficient, distributed, out-of-memory implementation of the truncated singular
value decomposition (t-SVD) for heterogeneous high performance computing (HPC) …
value decomposition (t-SVD) for heterogeneous high performance computing (HPC) …
Distributed non-negative rescal with automatic model selection for exascale data
With the boom in the development of computer hardware and software, social media, IoT
platforms, and communications, there has been exponential growth in the volume of data …
platforms, and communications, there has been exponential growth in the volume of data …
NPEFF: Non-Negative Per-Example Fisher Factorization
M Matena, C Raffel - arxiv preprint arxiv:2310.04649, 2023 - arxiv.org
As deep learning models are deployed in more and more settings, it becomes increasingly
important to be able to understand why they produce a given prediction, but interpretation of …
important to be able to understand why they produce a given prediction, but interpretation of …
[PDF][PDF] SLIC: Scientific Leadership Identification and Characterization
ME Eren - 2023 - data-science.llnl.gov
SLIC: Scientific Leadership Identification and Characterization: Page 1 1 2/23/2024 1 2/23/2024
Managed by Triad National Security, LLC, for the US Department of Energy’s NNSA. SLIC …
Managed by Triad National Security, LLC, for the US Department of Energy’s NNSA. SLIC …