Reptile : a distributed ILP compiler

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.

Bibliographic Details
Main Author: Bratt, Ian (Ian R.)
Other Authors: Anant Agarwal.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2006
Subjects:
Online Access:http://hdl.handle.net/1721.1/34372
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author Bratt, Ian (Ian R.)
author2 Anant Agarwal.
author_facet Anant Agarwal.
Bratt, Ian (Ian R.)
author_sort Bratt, Ian (Ian R.)
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description Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.
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spelling mit-1721.1/343722019-04-09T16:14:37Z Reptile : a distributed ILP compiler Raw Explicitly Parallel Tile Compiler : a distributed Instruction Level Parallelism compiler Bratt, Ian (Ian R.) Anant Agarwal. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. 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. 2006-11-07T11:49:42Z 2006-11-07T11:49:42Z 2005 2005 Thesis http://hdl.handle.net/1721.1/34372 70080964 eng 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 71 p. 3837083 bytes 3839629 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science.
Bratt, Ian (Ian R.)
Reptile : a distributed ILP compiler
title Reptile : a distributed ILP compiler
title_full Reptile : a distributed ILP compiler
title_fullStr Reptile : a distributed ILP compiler
title_full_unstemmed Reptile : a distributed ILP compiler
title_short Reptile : a distributed ILP compiler
title_sort reptile a distributed ilp compiler
topic Electrical Engineering and Computer Science.
url http://hdl.handle.net/1721.1/34372
work_keys_str_mv AT brattianianr reptileadistributedilpcompiler
AT brattianianr rawexplicitlyparalleltilecompileradistributedinstructionlevelparallelismcompiler