000 | 03896nam a22005775i 4500 | ||
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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 |