Introducing a Stream Processing Framework for Assessing Parallel Programming Interfaces

Stream Processing applications are spread across different sectors of industry and people's daily lives. The increasing data we produce, such as audio, video, image, and text are demanding quickly and efficiently computation. It can be done through Stream Parallelism, which is still a challengi...

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Vydáno v:Proceedings - Euromicro Workshop on Parallel and Distributed Processing s. 84 - 88
Hlavní autoři: Garcia, Adriano Marques, Griebler, Dalvan, Fernandes, Luiz G. L., Schepke, Claudio
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.03.2021
Témata:
Benchmark
Computer architecture
Distributed databases
Framework
Industries
Parallel processing
Parallel programming
Stream Processing
Streaming media
Task analysis
ISSN:2377-5750
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Shrnutí:Stream Processing applications are spread across different sectors of industry and people's daily lives. The increasing data we produce, such as audio, video, image, and text are demanding quickly and efficiently computation. It can be done through Stream Parallelism, which is still a challenging task and most reserved for experts. We introduce a Stream Processing framework for assessing Parallel Programming Interfaces (PPIs). Our framework targets multi-core architectures and C++ stream processing applications, providing an API that abstracts the details of the stream operators of these applications. Therefore, users can easily identify all the basic operators and implement parallelism through different PPIs. In this paper, we present the proposed framework, implement three applications using its API, and show how it works, by using it to parallelize and evaluate the applications with the PPIs Intel TBB, FastFlow, and SPar. The performance results were consistent with the literature.
ISSN:2377-5750
DOI:10.1109/PDP52278.2021.00021