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Gtensor: Fast and Accurate Tensor Analysis System using GPUs

Cited 3 time in Web of Science Cited 3 time in Scopus
Authors

Ahn, Dawon; Son, Sangjun; Kang, U

Issue Date
2020-10
Publisher
Association for Computing Machinery
Citation
International Conference on Information and Knowledge Management, Proceedings, pp.3361-3364
Abstract
© 2020 ACM.Given a large tensor, how can we analyze it efficiently? Multi-dimensional arrays or tensors have been widely used to model real-world data. Tensor decomposition plays an important role in analyzing trends and major factors in tensors. While several tensor analysis tools have been developed, they show slow running time and limited scalability due to their heavy computational requirements. In this paper, we propose Gtensor, a fast and accurate tensor mining library using GPUs. Gtensor is carefully designed to utilize GPUs in addition to CPUs for fast analysis of tensors. Gtensor provides versatile tensor algebra tools including tensor decomposition, tensor generation, tensor-tensor operation, and tensor manipulation. We invite our audience to interact with Gtensor and analyze real-world tensor data in the domains of movie recommendation, place recommendations, and academic citation.
URI
https://hdl.handle.net/10371/186114
DOI
https://doi.org/10.1145/3340531.3417413
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