Theses most similar to those of author Poletto, Massimiliano Antonio

Path splitting--a technique for improving data flow analysis (1995) read it

SUDS : automatic parallelization for raw processors

Frank, Matthew I (2003)

  • Advisors: Anant Agarwal; Saman Amarasinghe
  • Department of Electrical Engineering and Computer Science
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Functional encapsulation and type reconstruction in a strongly-typed, polymorphic language

Gupta, Shail Aditya (1995)

  • Advisor: Jammalamadaka, Arvind K. (Arvind Kumar), 1981-
  • Department of Electrical Engineering and Computer Science
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A type-checking preprocessor for Cilk 2, a multithreaded C language

Miller, Robert C. (Robert Chisolm) (1995)

  • Advisor: Charles E. Leiserson
  • Department of Electrical Engineering and Computer Science
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Integrating compile-time and runtime parallelism management through revocable thread serialization

Maa, Gino K. (Gino Ko) (1995)

  • Advisor: Anant Agarwal
  • Department of Electrical Engineering and Computer Science
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Implementing compiler optimizations using parallel graph reduction

Kulik, Joanna L. (Joanna Lynn) (1995)

  • Advisor: Jammalamadaka, Arvind K. (Arvind Kumar), 1981-
  • Department of Electrical Engineering and Computer Science
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Compiling for parallel multithreaded computation on symmetric multiprocessors

Shaw, Andrew, 1968- (1998)

  • Advisor: Jammalamadaka, Arvind K. (Arvind Kumar), 1981-
  • Department of Electrical Engineering and Computer Science
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Dynamic optimization through the use of automatic runtime specialization

Whaley, John (John Craig), 1975- (1999)

  • Advisor: Martin Rinard
  • Department of Electrical Engineering and Computer Science
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MSL : a synthesis enabled language for distributed high performance computing implementations

Xu, Zhilei (2016)

  • Advisor: Armando Solar-Lezama
  • Department of Electrical Engineering and Computer Science
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Verifying an I/O-concurrent file system

Chajed, Tej (2017)

  • Advisors: M. Frans Kaashoek; Zeldovich, Nickolai, 1981-
  • Department of Electrical Engineering and Computer Science
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Memory-mapped transactions

Sukha, Jim (2005)

  • Advisors: Bradley C. Kuszmaul; Charles E. Leiserson
  • Department of Electrical Engineering and Computer Science
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Language and compiler support for dyanmic code generation (1999) read it

Selecting better-performing alternative code using run-time profiling feedback

Huang, Ping-Shun (1995)

  • Advisor: Thomas F. Knight, Jr., Gerald Jay Sussma
  • Department of Electrical Engineering and Computer Science
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A comparison of designs for extensible and extension-oriented compilers

Clements, Austin T. (2008)

  • Advisor: M. Frans Kaashoek
  • Department of Electrical Engineering and Computer Science
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Designing and compiling functional Java for the Fresh Breeze architecture

Jacobs, William J. (2009)

  • Advisor: Jack Dennis
  • Department of Electrical Engineering and Computer Science
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Compiler-enforced immutability for the Java language

Birka, Adrian, 1980- (2003)

  • Advisor: Michael D. Ernst
  • Department of Electrical Engineering and Computer Science
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Dynamic optimization of interpreters using DynamoRIO

Baron, Iris, 1974- (2003)

  • Advisor: Saman Amarasinghe
  • Department of Electrical Engineering and Computer Science
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Programming language design for service-oriented systems

Ahmad, Salman Azeem (2014)

  • Advisor: Sepandar D. Kamvar
  • Department of Electrical Engineering and Computer Science
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Abstraction in technical computing

Bezanson, Jeffrey Werner (2015)

  • Advisor: Alan Edelman
  • Department of Electrical Engineering and Computer Science
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MSL : a synthesis enabled language for distributed high performance computing implementations

Xu, Zhilei (2016)

  • Advisor: Armando Solar-Lezama
  • Department of Electrical Engineering and Computer Science
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An extension-oriented compiler

Cox, Russell Stensby (2008)

  • Advisors: Eddie Kohler; M. Frans Kaashoek
  • Department of Electrical Engineering and Computer Science
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Hybrid eager and lazy evaluation for efficient compilation of Haskell

Maessen, Jan-Willem (2002)

  • Advisor: Arvind
  • Department of Electrical Engineering and Computer Science
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