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Titlebook: Euro-Par 2014: Parallel Processing; 20th International C Fernando Silva,Inês Dutra,Vítor Santos Costa Conference proceedings 2014 Springer

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楼主: vitamin-D
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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.
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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.
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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.
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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.
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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.
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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
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