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| 003 | ES-MaUEC | ||
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| 020 | _a9783030727895 | ||
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_a10.1007/978-3-030-72789-5 _2doi |
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_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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_aQA76.642 _b2021 EB |
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| 245 | 0 | 0 |
_aLanguages and compilers for parallel computing : _b32nd International Workshop, LCPC 2019, Atlanta, GA, USA, October 22-24, 2019, Revised Selected Papers _cedited by Santosh Pande, Vivek Sarkar |
| 250 | _aFirst edition 2021 | ||
| 264 | 1 |
_aCham, Switzerland _bSpringer International Publising _c2021 |
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| 300 |
_a1 recurso en línea (XII, 165 páginas) _b71 ilustraciones, 47 ilustraciones a color |
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| 336 |
_2rdacontent _aTexto _btxt |
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| 337 |
_2rdamedia _aelectrónico _bc |
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| 338 |
_2rdacarrier _arecurso electrónico _bcr |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 0 |
_aTheoretical Computer Science and General Issues _v11998 |
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| 505 | 0 | _aPerformance of Static and Dynamic Task Scheduling for Real-Time Engine Control System on Embedded Multicore Processor -- PostSLP: Cross-Region Vectorization of Fully or Partially Vectorized Code -- FLARE: Flexibly Sharing Commodity GPUs to Enforce QoS and Improve Utilization -- Foundations of consistency types for a higher-order distributed language -- Common Subexpression Convergence: A New Code Optimization for SIMT processors -- Using Performance Event Profiles to Deduce an Execution Model of MATLAB with Just-In-Time Compilation -- CLAM: Compiler Leasing of Accelerator Memory -- Abstractions for Polyhedral Topology-Aware Tasking -- SWIRL++: Evaluating Performance Models to Guide Code Transformation in Convolutional Neural Networks -- A Structured Grid Solver with Polyhedral+Dataflow Representation -- CubeGen: Code Generation for Accelerated GEMM-based Convolution with Tiling. | |
| 520 | 3 | _aThis book constitutes the thoroughly refereed post-conference proceedings of the 32nd International Workshop on Languages and Compilers for Parallel Computing, LCPC 2019, held in Atlanta, GA, USA, in October 2019. The 8 revised full papers and 3 revised short papers were carefully reviewed and selected from 17 submissions. The scope of the workshop includes advances in programming systems for current domains and platforms, e.g., scientific computing, batch/ streaming/ real-time data analytics, machine learning, cognitive computing, heterogeneous/ reconfigurable computing, mobile computing, cloud computing, IoT, as well as forward-looking computing domains such as analog and quantum computing. | |
| 988 | _aSpringer_Computer_2021 | ||
| 650 | 7 |
_2embne _aProgramación en paralelo _vCongresos y asambleas _9159594 |
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| 650 | 7 |
_2embne _aProceso paralelo (Informática) _vCongresos y asambleas _9158747 |
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| 700 | 1 |
_aPande, Santosh _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aSarkar, Vivek _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 710 | 2 | _aSpringerLink | |
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_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-72789-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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_2lcc _cLE |
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_b05/2021 _dz _eb _zSI |
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