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Query Processing on Tensor Computation Runtimes. (arXiv:2203.01877v1 [cs.DB])
March 4, 2022, 2:12 a.m. | Dong He, Supun Nakandala, Dalitso Banda, Rathijit Sen, Karla Saur, Kwanghyun Park, Carlo Curino, Jesús Camacho-Rodríguez, Konstantinos Karan
cs.LG updates on arXiv.org arxiv.org
The huge demand for computation in artificial intelligence (AI) is driving
unparalleled investments in new hardware and software systems for AI. This
leads to an explosion in the number of specialized hardware devices, which are
now part of the offerings of major cloud providers. Meanwhile, by hiding the
low-level complexity through a tensor-based interface, tensor computation
runtimes (TCRs) such as PyTorch allow data scientists to efficiently exploit
the exciting capabilities offered by the new hardware. In this paper, we
explore …
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