Search Results for author: Teja Veeramacheneni

Found 1 papers, 0 papers with code

Jointly Optimizing Preprocessing and Inference for DNN-based Visual Analytics

no code implementations25 Jul 2020 Daniel Kang, Ankit Mathur, Teja Veeramacheneni, Peter Bailis, Matei Zaharia

This runtime engine a) efficiently pipelines preprocessing and DNN execution for inference, b) places preprocessing operations on the CPU or GPU in a hardware- and input-aware manner, and c) efficiently manages memory and threading for high throughput execution.

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