Language-independent sandboxing of just-in-time compilation and self-modifying code
Proceedings of the 32nd ACM SIGPLAN conference on Programming language design and implementation
Xflow: declarative data processing for the web
Proceedings of the 17th International Conference on 3D Web Technology
TigerQuoll: parallel event-based JavaScript
Proceedings of the 18th ACM SIGPLAN symposium on Principles and practice of parallel programming
HW/SW co-designed acceleration of dynamic languages
Proceedings of the 14th ACM SIGPLAN/SIGBED conference on Languages, compilers and tools for embedded systems
Declarative AR and image processing on the web with Xflow
Proceedings of the 18th International Conference on 3D Web Technology
Proceedings of the 18th International Conference on 3D Web Technology
River trail: a path to parallelism in JavaScript
Proceedings of the 2013 ACM SIGPLAN international conference on Object oriented programming systems languages & applications
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Parallel hardware is today's reality and language extensions that ease exploiting its promised performance flourish. For most mainstream languages, one or more tailored solutions exist that address the specific needs of the language to access parallel hardware. Yet, one widely used language is still stuck in the sequential past: JavaScript, the lingua franca of the web. Our position is that existing solutions do not transfer well to the world of JavaScript due to differences in programming models, the additional requirements of the web, like safety, and to developer expectations. To address this we propose River Trail, a new parallel programming API designed specifically for JavaScript and we show how it satisfies the needs of the web. To prove that our approach is viable, we have implemented a prototype JIT compiler in Fire-fox that shows an order of magnitude performance improvement for a realistic web application.