@inproceedings{7665e2cfcba842ea8653318f1cc00d34,
title = "Panacea: Towards holistic optimization of MapReduce applications",
abstract = "MapReduce has emerged as one of the most popular programming models for data parallel enterprise applications. Despite advances in runtime, the opportunities for optimizing MapReduce applications remain largely unexplored. In this paper, we present a framework for performing holistic compiler optimizations on legacy MapReduce applications. We have identified and implemented two optimizations and evaluated them with a set of Hadoop applications on a cluster of Xeon servers. Our experiments show that performance gains of more than 3X can be achieved without user involvement.",
author = "Jun Liu and Nishkam Ravi and Srimat Chakradhar and Mahmut Kandemir",
year = "2012",
doi = "10.1145/2259016.2259022",
language = "English (US)",
isbn = "9781605586359",
series = "Proceedings - International Symposium on Code Generation and Optimization, CGO 2012",
pages = "33--43",
booktitle = "Proceedings - International Symposium on Code Generation and Optimization, CGO 2012",
note = "10th International Symposium on Code Generation and Optimization, CGO 2012 ; Conference date: 31-03-2012 Through 04-04-2012",
}