正常
发表于 2025-3-26 22:53:18
https://doi.org/10.1007/978-3-662-41414-9hich can thus be adapted for CPUs by removing all the unwanted local-memory arrays together with the obsolete barrier statements. Experiments show that the automated transformation can satisfactorily improve OpenCL kernel performances on Sandy Bridge CPU and Intel’s Many-Integrated-Core coprocessor.
善于骗人
发表于 2025-3-27 04:06:33
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热情赞扬
发表于 2025-3-27 07:25:56
ProPS: A Progressively Pessimistic Scheduler for Software Transactional Memoryd commit with success..Experimental results with the STMBench7 benchmark and the STAMP benchmark suite showed that current coarse-grained, conservative transaction schedulers are not suitable for workloads with long transactions, whereas ProPS is up to 40% faster than all other scheduling alternatives.
Hallmark
发表于 2025-3-27 11:06:26
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业余爱好者
发表于 2025-3-27 16:33:28
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极深
发表于 2025-3-27 17:50:37
ScalaJack: Customized Scalable Tracing with In-situ Data Analysismizable instrumentation and pluggable extension capabilities for problem directed instrumentation and in-situ data analysis. We further eliminate cross cutting concerns by code refactoring for aspect orientation and evaluate these capabilities in case studies within and beyond the scope of tracing.
milligram
发表于 2025-3-28 00:02:16
Energy Efficient Scheduling of MapReduce Jobsduce jobs under a given budget of energy. Using a linear programming relaxation of our problem, we derive a polynomial time constant-factor approximation algorithm. We also propose a convex programming formulation that we combine with standard list scheduling policies, and we evaluate their performance using simulations.
nutrients
发表于 2025-3-28 04:55:47
https://doi.org/10.1007/978-3-642-91288-7w cost, implementation of the ideal model (less than 5% accuracy error when 16 tasks share memory); and (iii) a comparison with standard methods (even distribution and access-count based) proving that . is more accurate than these other methods.
Observe
发表于 2025-3-28 07:18:27
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宠爱
发表于 2025-3-28 12:57:09
0302-9743 ld in Porto, Portugal, in August 2014. The 68 revised full papers presented were carefully reviewed and selected from 267 submissions. The papers are organized in 15 topical sections: support tools environments; performance prediction and evaluation; scheduling and load balancing; high-performance a