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Titlebook: Languages and Compilers for Parallel Computing; 25th International W Hironori Kasahara,Keiji Kimura Conference proceedings 2013 Springer-Ve

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發(fā)表于 2025-3-23 18:56:31 | 只看該作者
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發(fā)表于 2025-3-24 01:42:52 | 只看該作者
0302-9743 proceedings of the 25th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2012, held in Tokyo, Japan, in September 2012.The 16 revised full papers, 5 poster papers presented with 1 invited talk were carefully reviewed and selected from 39 submissions. The focus of the pa
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發(fā)表于 2025-3-24 03:21:07 | 只看該作者
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發(fā)表于 2025-3-24 07:51:07 | 只看該作者
Beyond Do Loops: Data Transfer Generation with Convex Array Regionsimated when an exact solution cannot be found. Array regions are also used to extend redundant load store elimination to array variables. The approach has been successfully applied to GPUs and domain-specific hardware accelerators.
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發(fā)表于 2025-3-24 12:24:00 | 只看該作者
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發(fā)表于 2025-3-24 18:27:54 | 只看該作者
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發(fā)表于 2025-3-24 19:08:00 | 只看該作者
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發(fā)表于 2025-3-25 02:19:12 | 只看該作者
Parallel Clustered Low-Rank Approximation of Graphs and Its Application to Link Predictioniagonal block) is computed. The resulting algorithm is challenging to parallelize not only because of the large size of the data sets in social network analysis, but also because it requires computing with very diverse data structures ranging from extremely sparse matrices to dense matrices. In this
19#
發(fā)表于 2025-3-25 04:18:14 | 只看該作者
OmpSs-OpenCL Programming Model for Heterogeneous Systemsto skip cumbersome OpenCL constructs including OpenCL plaform creation, compilation, kernel building, kernel argument setting and memory transfers, instead write a sequential program with annotated pragmas. Our proposal mainly focuses on how to exploit the best of the underlying hardware platform wi
20#
發(fā)表于 2025-3-25 09:09:16 | 只看該作者
UCIFF: Unified Cluster Assignment Instruction Scheduling and Fast Frequency Selection for Heterogenegorithm solves the phase ordering problem between frequency selection and scheduling, present in existing algorithms. We compared the quality of the generated code, using both performance and energy-related metrics, against that of the current state-of-the-art and an optimal scheduler. The results s
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