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

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Emerging Technology and Architecture for Big-data Analytics978-3-319-54840-1

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https://doi.org/10.1007/978-3-322-96007-8r architectures resulting in a compact and energy-efficient “in-memory computing” platform. In this chapter, we will review spintronic device structures consisting of single-domain/domain-wall motion based devices for mimicking neuronal and synaptic units. System-level simulations indicate?～?100× im

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its and systems;.Demonstrates how non-volatile memory (NVM) based hardware platforms can be a viable solution to existing challenges in hardware architecture for big-data analytics..978-3-319-85497-7978-3-319-54840-1

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Accelerating Data Analytics Kernels with Heterogeneous ComputingHLS-based exhaustive architectural exploration for implementation of the kernels practically infeasible. To address this challenge, we have developed Lin-Analyzer, a high-level accurate performance analysis tool that enables rapid design space exploration with various pragmas for FPGA-based accelera