%0 Conference Paper %1 Ertel2018-py %A Ertel, Sebastian %A Goens, Andrés %A Adam, Justus %A Castrillon, Jeronimo %B Proceedings of the 27th International Conference on Compiler Construction %C New York, NY, USA %D 2018 %I ACM %K %T Compiling for concise code and efficient I/O %X Large infrastructures of Internet companies, such as Facebook and Twitter, are composed of several layers of micro-services. While this modularity provides scalability to the system, the I/O associated with each service request strongly impacts its performance. In this context, writing concise programs which execute I/O efficiently is especially challenging. In this paper, we introduce Ÿauhau, a novel compile-time solution. Ÿauhau reduces the number of I/O calls through rewrites on a simple expression language. To execute I/O concurrently, it lowers the expression language to a dataflow representation. Our approach can be used alongside an existing programming language, permitting the use of legacy code. We describe an implementation in the JVM and use it to evaluate our approach. Experiments show that Ÿauhau can significantly improve I/O, both in terms of the number of I/O calls and concurrent execution. Ÿauhau outperforms state-of-the-art approaches with similar goals.

@inproceedings{Ertel2018-py, abstract = {Large infrastructures of Internet companies, such as Facebook and Twitter, are composed of several layers of micro-services. While this modularity provides scalability to the system, the I/O associated with each service request strongly impacts its performance. In this context, writing concise programs which execute I/O efficiently is especially challenging. In this paper, we introduce {\"Y}auhau, a novel compile-time solution. {\"Y}auhau reduces the number of I/O calls through rewrites on a simple expression language. To execute I/O concurrently, it lowers the expression language to a dataflow representation. Our approach can be used alongside an existing programming language, permitting the use of legacy code. We describe an implementation in the JVM and use it to evaluate our approach. Experiments show that {\"Y}auhau can significantly improve I/O, both in terms of the number of I/O calls and concurrent execution. {\"Y}auhau outperforms state-of-the-art approaches with similar goals.}, added-at = {2024-09-10T11:56:37.000+0200}, address = {New York, NY, USA}, author = {Ertel, Sebastian and Goens, Andr{\'e}s and Adam, Justus and Castrillon, Jeronimo}, biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/26b46c69daebb471d63bab22f02423de4/scadsfct}, booktitle = {Proceedings of the 27th International Conference on Compiler Construction}, conference = {CGO '18: 16th Annual IEEE/ACM International Symposium on Code Generation and Optimization}, copyright = {http://www.acm.org/publications/policies/copyright\_policy\#Background}, interhash = {d3327bc3c6903d56e767f7cc643b5ea9}, intrahash = {6b46c69daebb471d63bab22f02423de4}, keywords = {}, location = {Vienna Austria}, month = feb, publisher = {ACM}, timestamp = {2024-09-10T15:15:57.000+0200}, title = {Compiling for concise code and efficient {I/O}}, year = 2018 }