A distributed backend for Halide

Halide is a tool that makes writing efficient code easier to design, maintain, and operate. However, Halide is currently limited to building programs that run on one machine, which bounds both the size of the input and the speed of computation. My work involves adding distributed computation as an option for running Halide programs. Enabling distributed computation would allow Halide to be run at a much larger scale and solve larger problems like weather simulation and 3D rendering. This project has dealt with how Halide can analyze what data programs will need to share and how they can efficiently share it. Using my work, a programmer can easily divide their input into several small chunks and start an instance of their program to solve each chunk with synchronization and data sharing handled through Halide.

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

2015

Author dc:creator

• Epstein, Aaron, M. Eng. (Aaron B.). Massachusetts Institute of Technology

Advisor dc:contributor.advisor

• Saman Amarasinghe.

• 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/1721.1/100675

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/100675