"The basic insight is that there exists a form of concurrent programming, deterministic concurrency, that has no race conditions, is as easy to program, and can exploit parallel processors as a bonus. The technical problems were all solved long ago with the invention of dataflow programming. What remains is to educate programmers and to bring dataflow ideas into mainstream languages."

Peter Van Roy - co-author Concepts, Techniques, and Models of Computer Programming.

Pervasive DataRush is a Java library for developing highly-parallel data-intensive applications to run and scale on emerging multicore hardware without the need for any knowledge of concurrent programming techniques.

DataRush allows developers to employ an extensive and customizable library of components ranging from simple to very sophisticated using dataflow principles. Components are even "self-composing", with late-binding facilities to dynamically adjust parallel execution strategies. Using Pervasive DataRush, developers can build "simple" dataflows that can be composed into highly parallelized, scalable dataflow execution graphs, fully ready to exploit the underlying multicore hardware even as it grows. Many of the classic challenges around concurrent programming (e.g., synchronization, thread management, etc.) are handled by the Pervasive DataRush framework.