Functional and timing models for a programmable hardware accelerator

Classes of problems that exhibit high levels of data reuse have heavy overhead costs due to the necessity of repeated memory accesses. A proposed programmable hardware accelerator using a spatial architecture paired with triggered instructions could solve this class of problems more efficiently. Performance models are useful for evaluating the performance of different applications and design alternatives. This project develops a functional model for this hardware accelerator as well as a simple timing model to allow for examination of the performance of this proposed architecture. Furthermore, convolution, pooling, and non-linearity are implemented as programs on this accelerator in order to show functionality and flexibility present within the system. This project shows the feasibility of a spatial architecture powered by triggered instructions and provides the framework for future testing and prototyping for this problem space.

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

• Fox, Matthew (Matthew M.)

Advisor dc:contributor.advisor

• Joel Emer and Vivienne Sze.

• 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/1721.1/100595

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/100595