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Content Tagged with research + Programming

"supports the creation of MapReduce applications within Eclipse"

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This project uses a language-based technique to unify two seemingly opposite programming models for building massively concurrent network services: the event-driven model and the multithreaded model. The result is a unified concurrency model providing both thread abstractions and event abstractions. We implemented the unified concurrency model in Haskell, a pure, lazy, functional programming language. Our implementation demonstrates how to use these techniques by building an application-level thread library with support for multiprocessing and asynchronous I/O mechanisms in Linux. The thread library is type-safe, is relatively simple to implement, and has good performance. Application-level threads are extremely lightweight (scaling to 10,000,000 threads!) and our scheduler, which is implemented as a modular and extensible event-driven system, outperforms NPTL in I/O benchmarks.