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Accelerating Large-scale Image Retrieval on Heterogeneous Architectures with Spark
2015
Proceedings of the 23rd ACM international conference on Multimedia - MM '15
Apache Spark is a general-purpose cluster computing system for big data processing and has drawn much attention recently from several fields, such as pattern recognition, machine learning and so on. Unlike MapReduce, Spark is especially suitable for iterative and interactive computations. With the computing power of Spark, a utility library, referred to as IRlib, is proposed in this work to accelerate large-scale image retrieval applications by jointly harnessing the power of GPU. Similar to
doi:10.1145/2733373.2806392
dblp:conf/mm/WangXWW15
fatcat:r73v75iglffqpbeiej34aei7xi