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Co-design Implications of Cost-effective On-demand Acceleration for Cloud Healthcare Analytics: The AEGLE approach.

, , , , , , , and . DATE, page 622-625. IEEE, (2019)

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Co-design of many-accelerator heterogeneous systems exploiting virtual platforms., , , and . ICSAMOS, page 1-8. IEEE, (2014)FaaS and Curious: Performance Implications of Serverless Functions on Edge Computing Platforms., , , , , , , , , and . ISC Workshops, volume 12761 of Lecture Notes in Computer Science, page 428-438. Springer, (2021)Job-Arrival Aware Distributed Run-Time Resource Management on Intel SCC Manycore Platform., , and . EUC, page 17-24. IEEE Computer Society, (2015)Resource Aware GPU Scheduling in Kubernetes Infrastructure., , , , and . PARMA-DITAM@HiPEAC, volume 88 of OASIcs, page 4:1-4:12. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2021)Optimized Reconfigurable RTL Components for Performance Improvements During High-Level Synthesis., and . DSD, page 164-171. IEEE Computer Society, (2009)A regular interconnection scheme for efficient mapping of DSP kernels into reconfigurable hardware., , and . EUSIPCO, page 1004-1008. IEEE, (2007)Scale-out beam longitudinal dynamics simulations., , , and . CF, page 29-38. ACM, (2020)Dataflow Acceleration of scikit-learn Gaussian Process Regression., , and . PARMA-DITAM@HiPEAC, page 1-6. ACM, (2017)Hybrid approximate multiplier architectures for improved power-accuracy trade-offs., , , , and . ISLPED, page 79-84. IEEE, (2015)Mapping DSP Applications onto High-Performance Architectural Templates with Inlined Flexibility., , , and . AHS, page 346-353. IEEE Computer Society, (2008)