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PACXX: Towards a Unified Programming Model for Programming Accelerators Using C++14.

, and . LLVM@SC, page 1-11. IEEE Computer Society, (2014)

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PACXX: Towards a Unified Programming Model for Programming Accelerators Using C++14., and . LLVM@SC, page 1-11. IEEE Computer Society, (2014)Towards heterogeneous computing in C++: PACXX: a portable, high-performance programming model.. University of Münster, Germany, (2018)Accelerating Keyword Search for Big RDF Web Data on Many-Core Systems., , , and . SoMeT, volume 532 of Communications in Computer and Information Science, page 190-202. Springer, (2015)Parallelizing Branch-and-Bound on GPUs for Optimization of Multiproduct Batch Plants., , and . PaCT, volume 9251 of Lecture Notes in Computer Science, page 324-337. Springer, (2015)Entailment Processing for Large RDF Data Sets Using GPU., , , and . SoMeT, volume 286 of Frontiers in Artificial Intelligence and Applications, page 333-345. IOS Press, (2016)Programming GPUs with C++14 and Just-In-Time Compilation., , and . PARCO, volume 27 of Advances in Parallel Computing, page 247-256. IOS Press, (2015)High-Level Programming for Many-Cores Using C++14 and the STL., and . Int. J. Parallel Program., 46 (1): 23-41 (2018)A GPU parallelization of branch-and-bound for multiproduct batch plants optimization., , and . J. Supercomput., 73 (2): 639-651 (2017)ATF: A Generic Auto-Tuning Framework., , and . HPCC/SmartCity/DSS, page 64-71. IEEE Computer Society, (2017)TripleID: A Low-Overhead Representation and Querying Using GPU for Large RDFs., , , and . BDAS, volume 613 of Communications in Computer and Information Science, page 400-415. Springer, (2016)