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This book contains selected papers from the 7th International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures, ADMS 2016, and the 4th International Workshop on InMemory Data Management and Analytics, IMDM 2016, held in New Dehli, India, in September 2016. The joint Workshops were colocated with VLDB 2016. The 9 papers presented were carefully reviewed and selected from 18 submissions. They investigate opportunities in accelerating analytics/data management systems and workloads (including traditional OLTP, data warehousing/OLAP, ETL streaming/realtime, business analytics, and XML/RDF processing) running memoryonly environments, using processors (e.g. commodity and specialized multicore, GPUs and FPGAs, storage systems (e.g. storageclass memories like SSDs and phasechange memory), and hybrid programming models like CUDA, OpenCL, and Open ACC. The papers also explore the interplay between overall system design, core algorithms, query optimization strategies, programming approaches, performance modeling and evaluation, from the perspective of data management applications.
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birth defects, or other reproductive harm.
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