2026-09-19T05:14:18Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/464652022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Saman Amarasinghe.
Zhang, Xin David
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2009-08-26T16:29:14Z
2009-08-26T16:29:14Z
2007
2007
http://hdl.handle.net/1721.1/46465
374812166
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.
Includes bibliographical references (p. 81-82).
The Cell architecture is a heterogeneous, distributed-memory multicore architecture that features a novel on-chip communication network. Stream programs are particularly well-suited for execution on Cell.This thesis implements a runtime library on Cell specifically designed to support streaming applications and streaming language compilers. The runtime library abstracts the details of Cell's communication network and provides facilities that simplify the task of scheduling stream actors. The library is designed in the context of the StreamIt programming language. This library is used to implement a dynamic scheduling framework. The programmability of high-level schedulers with and without the library is analyzed. We observe that the library does not add significant overhead, provides a number of useful features for schedulers, and greatly simplifies the code required to implement schedulers.
by Xin David Zhang.
M.Eng.
82 p.
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by
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http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
A streaming computation framework for the Cell Processor
Thesis
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