000 03896nam a22005775i 4500
999 _c13247
_d13247
001 978-3-319-71489-9
003 DE-He213
005 20211215122114.0
008 171222s2018 gw | s |||| 0|eng d
020 _a9783319714899
040 _cAIKTC-KRRC
041 _aENG
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
100 1 _aAshouri, Amir H.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aAutomatic Tuning of Compilers Using Machine Learning
_h[electronic resource] /
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXVII, 118 p. 23 illus., 6 illus. in color.
_bCard Paper
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aPoliMI SpringerBriefs,
_x2282-2577
520 _aThis book explores break-through approaches to tackling and mitigating the well-known problems of compiler optimization using design space exploration and machine learning techniques. It demonstrates that not all the optimization passes are suitable for use within an optimization sequence and that, in fact, many of the available passes tend to counteract one another. After providing a comprehensive survey of currently available methodologies, including many experimental comparisons with state-of-the-art compiler frameworks, the book describes new approaches to solving the problem of selecting the best compiler optimizations and the phase-ordering problem, allowing readers to overcome the enormous complexity of choosing the right order of optimizations for each code segment in an application. As such, the book offers a valuable resource for a broad readership, including researchers interested in Computer Architecture, Electronic Design Automation and Machine Learning, as well as computer architects and compiler developers.
650 0 _aComputer Engineering
_94622
653 _aProgramming Languages, Compilers, Interpreters.
653 _aSimulation and Modeling.
653 _aArtificial Intelligence.
700 1 _aPalermo, Gianluca.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aCavazos, John.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aSilvano, Cristina.
_eauthor.
_0(orcid)0000-0003-1668-0883
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319714882
776 0 8 _iPrinted edition:
_z9783319714905
830 0 _aPoliMI SpringerBriefs,
_x2282-2577
856 4 0 _uhttps://doi.org/10.1007/978-3-319-71489-9
_zClick here to access eBook in Springer Nature platform. (Within Campus only.)
942 _cEBOOKS
_2ddc