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Titlebook: Emerging Technology and Architecture for Big-data Analytics; Anupam Chattopadhyay,Chip Hong Chang,Hao Yu Book 2017 Springer International

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Northern Irish Poetry and the Russian Turnl machine need to be architected carefully to avoid single-thread bottlenecks. Among the solutions for challenges tackled in scaling a single Java Virtual Machine (JVM), we discuss the most rewarding ones. They include: converting shared data objects to per-thread independent objects, applying scala
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https://doi.org/10.1007/978-3-031-46285-6for efficient processing of compute-intensive data analytics kernels. In this chapter, we focus on the acceleration of data analytics kernels on heterogenous computing systems with FPGAs. The introduction of FPGAs in the context of data analytics is negatively impacted by the difficulty in programmi
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Successful Local Peacebuilding in Macedonia, machine-learning accelerator for real-time data analytics in smart micro-grid of buildings. A compact yet fast incremental least-squares-solver based learning algorithm is developed on computational resource limited IoT hardware. The compact accelerator mapped on FPGA can perform real-time data ana
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