Name
Abstract | ||
|---|---|---|
Language composition approaches have traditionally suffered from poor performance. In this paper we hypothesise that meta-tracing provides a means to compose independent language interpreters while retaining the performance levels of each. To study this approach, we compose Python and Prolog interpreters to form Unipycation. We present a case study of its use and a suite of micro-benchmarks which give us some understanding of its cross-language performance. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1145/2542142.2542146 | Proceedings of the 7th ACM workshop on Virtual machines and intermediate languages |
Keywords | DocType | Citations |
poor performance,prolog interpreter,language composition approach,independent language interpreter,performance level,cross-language performance,case study,virtual machines | Conference | 7 |
PageRank | References | Authors |
0.52 | 19 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Edd Barrett | 1 | 33 | 3.52 |
| Carl Friedrich Bolz | 2 | 292 | 18.69 |
| Laurence Tratt | 3 | 638 | 35.43 |