NDLI: Ohua: Implicit Dataflow Programming for Concurrent Systems

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Ohua: Implicit Dataflow Programming for Concurrent Systems

Content Provider	ACM Digital Library
Author	Felber, Pascal Fetzer, Christof Ertel, Sebastian
Abstract	Concurrent programming has always been a challenging task best left to expert developers. Yet, with the advent of multi-core systems, programs have to explicitly deal with multithreading to fully exploit the parallel processing capabilities of the underlying hardware. There has been much research over the last decade on abstractions to develop concurrent code that is both safe and efficient, e.g., using message passing, transactional memory, or event-based programming. In this paper, we focus on the dataflow approach as a way to design scalable concurrent applications. We propose a new dataflow engine and programming framework, named Ohua, that supports implicit parallelism. Ohua marries object-oriented and functional languages: functionality developed in Java can be composed with algorithms in Clojure. This allows us to use different programming styles for the tasks each language is best adapted for. The actual dataflow graphs are automatically derived from the Clojure code. We show that Ohua is not only powerful and easy to use for the programmer, but also produces applications that scale remarkably well: comparative evaluation indicates that a simple web server developed with Ohua outperforms the highly-optimized Jetty server in terms of throughput while being competitive in terms of latency. We also evaluate the impact on energy consumption to validate previous studies indicating that dataflow and message passing can be more energy-efficient than concurrency control based on shared-memory synchronization.
Starting Page	51
Ending Page	64
Page Count	14
File Format	PDF
ISBN	9781450337120
DOI	10.1145/2807426.2807431
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-09-08
Publisher Place	New York
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

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