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Query Processing on Tensor Computation Runtimes. (arXiv:2203.01877v3 [cs.DB] UPDATED)
Aug. 2, 2022, 2:11 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 hardware and software systems for AI. This leads to
an explosion in the number of specialized hardware devices, which are now
offered by major cloud vendors. 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 how database management systems
can …
arxiv computation processing query runtimes tensor tensor computation runtimes
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