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Energy-efficient acceleration of big data analytics applications using FPGAs.

, , , , and . IEEE BigData, page 115-123. IEEE Computer Society, (2015)

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Accelerating Machine Learning Kernel in Hadoop Using FPGAs., , and . CCGRID, page 1151-1154. IEEE Computer Society, (2015)Task Scheduling for GPU Accelerated Hybrid OLAP Systems with Multi-core Support and Text-to-Integer Translation., , , and . IPDPS Workshops, page 1987-1996. IEEE Computer Society, (2012)Big data on low power cores: Are low power embedded processors a good fit for the big data workloads?, and . ICCD, page 379-382. IEEE Computer Society, (2015)ECoST: Energy-Efficient Co-Locating and Self-Tuning MapReduce Applications., , , , , , , and . ICPP, page 7:1-7:11. ACM, (2019)Co-locating and concurrent fine-tuning MapReduce applications on microservers for energy efficiency., , and . IISWC, page 22-31. IEEE Computer Society, (2017)Using E-triggers to Create a Surveillance System for Diagnostic Errors in Acute Care., , , , , , , and . AMIA, AMIA, (2020)A Study on the Modified Form of Riemann-Type Fractional Inequalities via Convex Functions and Related Applications., , , , , , and . Symmetry, 14 (12): 2682 (2022)An Energy-Efficient Programmable Manycore Accelerator for Personalized Biomedical Applications., , , , , , and . IEEE Trans. Very Large Scale Integr. Syst., 26 (1): 96-109 (2018)Communication efficient work distributions in stencil operation based applications., , , , and . Concurr. Comput. Pract. Exp., 27 (13): 3262-3280 (2015)Regularized logistic regression for fast importance sampling based SRAM yield analysis., , , , and . ISQED, page 119-124. IEEE, (2017)