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Titlebook: Software Challenges to Exascale Computing; Second Workshop, SCE Amit Majumdar,Ritu Arora Conference proceedings 2019 Springer Nature Singap

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Siddheshwar V. Patil,Dinesh B. Kulkarni multiple, non-competing retailers, multiple states-of-nature, and multiple, competing retailers. In Chapters 5-7 the authors determine the profitability of various wholesale-price strategies; this analysis cul978-1-4419-5302-5978-0-387-22790-0Series ISSN 0923-6716 Series E-ISSN 2199-1057
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A Review of Dimensionality Reduction in High-Dimensional Data Using Multi-core and Many-core Architedundant information; importantly removing the data that adds up to dimensionality making it high dimensional. The performance of the algorithm is further upgraded with the help of the parallel computing on high-performance computing (HPC) infrastructure. Parallel computing on multi-core and many-cor
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Overcoming MPI Communication Overhead for Distributed Community Detectional cores available to our system. Our second algorithm is an MPI-based distributed memory parallel algorithm that scales to a moderate number of processors. We then implement a hybrid algorithm combining the merits from both shared and distributed memory-based approaches. Finally, we incorporate a p
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