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Challenges and Proposals for Enabling Dynamic Heterogeneous Execution of Big Data Frameworks
2018
2018 IEEE International Conference on Cloud Computing Technology and Science (CloudCom)
The efficient execution of Big Data applications requires a large quantity of compute and memory resources. Typically, these resources are in the form of data centres with numerous processing elements connected through a computer network. Although initially the majority of data centers were utilizing only CPU resources, nowadays we can find heterogeneous accelerators such as GPUs and FPGAs. Ideally, Big Data frameworks and applications should exploit those diverse hardware resources in order to
doi:10.1109/cloudcom2018.2018.00070
dblp:conf/cloudcom/XekalakiFK18
fatcat:odsouiwyefhxvkvkgkjr2aukgy