Lossless tiling in convolution networks-graph metadata generation

A processing graph of an application with a sequence of processing nodes is obtained which processes an input and generates an intermediate representation a further intermediate representation, and an output representation of the input at stages in the sequence of processing nodes. Graph metadata is...

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Hauptverfasser: Chaphekar, Ruddhi, Sivaramakrishnan, Ram, Musaddiq, Matheen, Prabhakar, Raghu, Fuchs, Adi, Wang, Junjue, Sujeeth, Arvind Krishna, Jairath, Sumti, Nama, Tejas Nagendra Babu, Liang, Kaizhao
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creator Chaphekar, Ruddhi
Sivaramakrishnan, Ram
Musaddiq, Matheen
Prabhakar, Raghu
Fuchs, Adi
Wang, Junjue
Sujeeth, Arvind Krishna
Jairath, Sumti
Nama, Tejas Nagendra Babu
Liang, Kaizhao
description A processing graph of an application with a sequence of processing nodes is obtained which processes an input and generates an intermediate representation a further intermediate representation, and an output representation of the input at stages in the sequence of processing nodes. Graph metadata is generated that specifies a non-overlapping target tiling configuration for the output representation, an overlapping tiling configuration for the input, an overlapping tiling configuration for the intermediate representation, and a third tiling configuration for the further intermediate representation. The processing graph is modified based on the graph metadata to conform to the parameters specified by the graph metadata. A set of computer instructions is then created to execute the modified processing graph on a target processing system.
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subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
title Lossless tiling in convolution networks-graph metadata generation
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