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| Content Provider | ACM Digital Library |
|---|---|
| Author | Radoi, Cosmin Sridharan, Manu Fink, Stephen J. Rabbah, Rodric |
| Abstract | We present an approach for automatic translation of sequential, imperative code into a parallel MapReduce framework. Automating such a translation is challenging: imperative updates must be translated into a functional MapReduce form in a manner that both preserves semantics and enables parallelism. Our approach works by first translating the input code into a functional representation, with loops succinctly represented by fold operations. Then, guided by rewrite rules, our system searches a space of equivalent programs for an effective MapReduce implementation. The rules include a novel technique for handling irregular loop-carried dependencies using group-by operations to enable greater parallelism. We have implemented our technique in a tool called Mold. It translates sequential Java code into code targeting the Apache Spark runtime. We evaluated Mold on several real-world kernels and found that in most cases Mold generated the desired MapReduce program, even for codes with complex indirect updates. |
| Starting Page | 909 |
| Ending Page | 927 |
| Page Count | 19 |
| File Format | |
| ISBN | 9781450325851 |
| DOI | 10.1145/2660193.2660228 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2014-10-15 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Functional Program translation Scala Rewriting Mapreduce Imperative |
| Content Type | Text |
| Resource Type | Article |
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