Schedule visualization and analysis for halide image processing language

Image processing applications require high performance software implementations in order to satisfy large input data and run on smaller mobile devices that require high efficiency. Halide is a language and compiler for optimizing image processing pipelines. Halide introduces a separation between algorithm, the logics behind the program, and a schedule, the order of execution. This thesis focuses on providing interactive GUI for visual analysis of Halide schedules. It creates a visualization of the order of execution and provides tools for analyzing three important aspects of image processing schedules: redundancy, locality and parallelism. Tool is designed for Halide programers who want to gain better understanding of scheduling in Halide and receive guidance for schedule optimizations.

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2013

Author dc:creator

• Knežević, Jovana

Advisor dc:contributor.advisor

• Frédo Durand.

• Electrical Engineering and Computer Science.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/85431

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/85431