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- W2811439965 abstract "Programming using the Python API (application programming interface) offers some advantages over using compiled languages. Here we implement a high rank tensor decomposition routine using the TensorFlow library which has native support for utilizing multi-core CPU, GPU, and TPU hardware. Specifically, a singular value decomposition algorithm was performed on a rank-5 tensor. The performance of this Python implementation was compared with a known C++ based library written specifically for tensor manipulations but without native GPU support. We report some use cases where the implementation on a consumer grade GPU was empirically faster than the C++ based library when the rank-5 tensor has more than 2 × 106 elements. With the acceptable performance of the implementation, it may be beneficial to have have a native implementation of tensor network operations on TensorFlow." @default.
- W2811439965 created "2018-07-10" @default.
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- W2811439965 creator A5011586632 @default.
- W2811439965 date "2018-05-31" @default.
- W2811439965 modified "2023-09-23" @default.
- W2811439965 title "GPU implementation of singular value decomposition for high rank tensors" @default.
- W2811439965 hasPublicationYear "2018" @default.
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