Titlebook: Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Grow; 14th International C Stanis?aw Koziel

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書目名稱Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Grow讀者反饋




書目名稱Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Grow讀者反饋學(xué)科排名

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The Use of Distributed Data Storage and Processing Systems in Bioinformatic Data Analysisnt premises of cancer occurrence. In this paper a set of data mining tasks is defined that joins the observed genes mutation with the specific cancer type observation. Due to the high computational complexity of this kind of data a Hadoop ecosystem cluster was developed to perform the required calcu

滴注

Efficient 3D Protein Structure Alignment on Large Hadoop Clusters in Microsoft Azure Cloudtment of patients. 3D protein structure similarity searching is one of the important exploration processes performed in structural bioinformatics. However, the process is time-consuming and requires increased computational resources when performed against large repositories. In this paper, we show t

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SIMD Acceleration for Main-Memory Index Structures – A Surveyhese index structures, different approaches are presented by several authors, including horizontal vectorization with SIMD and efficient cache-line usage..In this work, we compare the adapted index structures Seg-Tree/Trie, FAST, VAST, and ART and evaluate the usage of SIMD within these. We extract

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OpenMP as an Efficient Method to Parallelize Code with Dense Synchronization efficiency of the parallel computational model with shared memory, when dense synchronization is required. As our experimental evaluation shows, contemporary CPUs assisted with OpenMP library perform well in case of such tasks. We also present evidence that OpenMP is easy to learn and use.

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