5 research outputs found

    Resource Awareness for Efficiency in High-Level Programming Languages

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    Improving Distributed External Sorting for Big Data in Thrill

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    Algorithm Libraries for Multi-Core Processors

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    By providing parallelized versions of established algorithm libraries, we ease the exploitation of the multiple cores on modern processors for the programmer. The Multi-Core STL provides basic algorithms for internal memory, while the parallelized STXXL enables multi-core acceleration for algorithms on large data sets stored on disk. Some parallelized geometric algorithms are introduced into CGAL. Further, we design and implement sorting algorithms for huge data in distributed external memory
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