2026-09-18T22:20:04Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1005952026-06-06T00:55:33Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Joel Emer and Vivienne Sze.
Fox, Matthew (Matthew M.)
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2016-01-04T19:57:04Z
2016-01-04T19:57:04Z
2015
2015
http://hdl.handle.net/1721.1/100595
932129075
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2015.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (page 79).
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.
by Matthew Fox.
M.Eng.
79 pages
eng
Massachusetts Institute of Technology
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.
http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Functional and timing models for a programmable hardware accelerator
Thesis
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