Entry Blume:1994:ADP from ieeepardisttech.bib

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BibTeX entry

@Article{Blume:1994:ADP,
  author =       "William Blume and Rudolf Eigenmann and Jay Hoeflinger
                 and David Padua and Paul Petersen and Lawrence
                 Rauchwerger and Peng Tu",
  title =        "Automatic Detection of Parallelism: a Grand Challenge
                 for High-Performance Computing",
  journal =      j-IEEE-PAR-DIST-TECH,
  volume =       "2",
  number =       "3",
  pages =        "37--47",
  month =        "Fall",
  year =         "1994",
  CODEN =        "IPDTEX",
  DOI =          "https://doi.org/10.1109/M-PDT.1994.329796",
  ISSN =         "1063-6552 (print), 1558-1861 (electronic)",
  ISSN-L =       "1063-6552",
  bibdate =      "Mon Apr 14 07:07:00 1997",
  bibsource =    "Compendex database;
                 http://www.math.utah.edu/pub/tex/bib/ieeepardisttech.bib",
  abstract =     "The limited ability of compilers to find the
                 parallelism in programs is a significant barrier to the
                 use of high-performance computers. However, a
                 combination of static and runtime techniques can
                 improve compilers to the extent that a significant
                 group of scientific programs can be parallelized
                 automatically.",
  acknowledgement = ack-nhfb,
  affiliation =  "Univ of Illinois at Urbana-Champaign",
  classification = "722.4; 723.1; 723.1.1; 723.2; 921.1; 921.6; C6110P
                 (Parallel programming); C6150C (Compilers, interpreters
                 and other processors); C6150G (Diagnostic, testing,
                 debugging and evaluating systems)",
  corpsource =   "Center for Supercomput. Res. and Dev., Illinois Univ.,
                 Urbana, IL, USA",
  journalabr =   "IEEE Parallel Distrib Technol",
  keywords =     "Algebra; Algorithms; automatic; Automatic
                 parallelization; Automation; C (programming language);
                 Codes (symbols); compilers; Computer hardware
                 description languages; Data structures; Fortran
                 (programming language); High performance computing;
                 high-performance computers; high-performance computing;
                 Iterative methods; Multiprogramming; Numerical
                 analysis; Parallel processing systems; parallel
                 programming; parallelisation; parallelism detection;
                 performance evaluation; program; Program compilers;
                 program diagnostics; runtime techniques; scientific
                 programs; static techniques",
  treatment =    "P Practical",
}

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