2026-09-19T01:45:29Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/343722022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Anant Agarwal.
Bratt, Ian (Ian R.)
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2006-11-07T11:49:42Z
2006-11-07T11:49:42Z
2005
2005
http://hdl.handle.net/1721.1/34372
70080964
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.
Includes bibliographical references (p. 69-71).
The past few years witnessed a dramatic shift in computer microprocessor design. Rather than continue with the traditional pursuit of increased sequential program performance, industry and academia alike chose to focus on distributed, multi-core designs. If multi-core designs are to maintain the decades-long trend of increased single threaded performance, compiler technology capable of converting a single threaded program into multiple programs must be developed. In this thesis I present the Raw Explicitly Parallel Tile Compiler (Reptile), a compiler targeting the RAW computer architecture capable of converting a single threaded program into multiple threads communicating at the instruction operand granularity. On applications with sufficient amounts of parallelism Reptile has generated code which, on the Raw processor, achieves a speedup of as much as 2.3x (cycle to cycle) over an Athlon64.
by Ian Bratt.
S.M.
71 p.
3837083 bytes
3839629 bytes
application/pdf
application/pdf
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.
Reptile : a distributed ILP compiler
Raw Explicitly Parallel Tile Compiler : a distributed Instruction Level Parallelism compiler
Thesis
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<Abstract>The past few years witnessed a dramatic shift in computer microprocessor design. Rather than continue with the traditional pursuit of increased sequential program performance, industry and academia alike chose to focus on distributed, multi-core designs. If multi-core designs are to maintain the decades-long trend of increased single threaded performance, compiler technology capable of converting a single threaded program into multiple programs must be developed. In this thesis I present the Raw Explicitly Parallel Tile Compiler (Reptile), a compiler targeting the RAW computer architecture capable of converting a single threaded program into multiple threads communicating at the instruction operand granularity. On applications with sufficient amounts of parallelism Reptile has generated code which, on the Raw processor, achieves a speedup of as much as 2.3x (cycle to cycle) over an Athlon64.</Abstract>
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