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Titlebook: Languages and Compilers for Parallel Computing; 18th International W Eduard Ayguadé,Gerald Baumgartner,P. Sadayappan Conference proceedings

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21#
發(fā)表于 2025-3-25 07:04:19 | 只看該作者
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發(fā)表于 2025-3-25 08:35:42 | 只看該作者
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發(fā)表于 2025-3-25 12:09:59 | 只看該作者
Apan Qasem,Ken Kennedyue for fair gain sharing between cooperating participants. A summary of some fundamental management engineering principles is provided..??????????? Th978-1-4614-2067-5978-1-4614-2068-2Series ISSN 2193-1704 Series E-ISSN 2193-1712
24#
發(fā)表于 2025-3-25 19:16:47 | 只看該作者
Rajkishore Barikue for fair gain sharing between cooperating participants. A summary of some fundamental management engineering principles is provided..??????????? Th978-1-4614-2067-5978-1-4614-2068-2Series ISSN 2193-1704 Series E-ISSN 2193-1712
25#
發(fā)表于 2025-3-25 20:44:31 | 只看該作者
Arkady Epshteyn,María Jesús Garzaran,Gerald DeJong,David Padua,Gang Ren,Xiaoming Li,Kamen Yotov,Keshonadherence in pediatric patients..?.·???????? A comprehensive behavioral health system for identifying and treating nonadherence..?.Healthcare Partnerships for Pediatric Adherence. offers relevant contemporary978-3-319-13667-7978-3-319-13668-4Series ISSN 2192-3698 Series E-ISSN 2192-3701
26#
發(fā)表于 2025-3-26 03:05:14 | 只看該作者
27#
發(fā)表于 2025-3-26 05:01:56 | 只看該作者
Array Replication to Increase Parallelism in Applications Mapped to Configurable Architectures,array replication is essentially free in terms of execution time, this replication enables not only parallel execution but also reduces or even eliminates memory contention. We present preliminary experiments applying the proposed technique to hardware designs for commercially available FPGA devices.
28#
發(fā)表于 2025-3-26 09:55:35 | 只看該作者
29#
發(fā)表于 2025-3-26 16:42:31 | 只看該作者
30#
發(fā)表于 2025-3-26 19:36:02 | 只看該作者
Efficient Computation of May-Happen-in-Parallel Information for Concurrent Java Programs,ntly exploited to efficiently compute May-Happen-in-Parallel (MHP) information for the analysis of multi-threaded programs. For concurrent Java programs, our MHP computation algorithm runs 1.77x (on an average) faster than previously reported MHP computation algorithm.
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