29th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP) — 2021
Introducing a Stream Processing Framework for Assessing Parallel Programming Interfaces
Adriano Marques Garcia, Dalvan Griebler, Claudio Schepke, Luiz Gustavo Fernandes
Abstract
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.
@inproceedings{GARCIA:PDP:21,
abstract = {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.},
address = {Valladolid, Spain},
author = {Garcia, Adriano Marques and Griebler, Dalvan and Schepke, Claudio and Fernandes, Luiz Gustavo},
booktitle = {29th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)},
date-modified = {2024-08-18 14:42:47 +0200},
doi = {10.1109/PDP52278.2021.00021},
keywords = {parallel},
month = mar,
pages = {84--88},
publisher = {IEEE},
series = {PDP'21},
title = {Introducing a Stream Processing Framework for Assessing Parallel Programming Interfaces},
url = {https://iris.unito.it/retrieve/8aa73a3f-0b1f-41e4-9440-a87bbaf6e9c4/PDP_2021__Stream_bench_Framework_.pdf},
year = {2021},
bdsk-url-1 = {https://iris.unito.it/retrieve/8aa73a3f-0b1f-41e4-9440-a87bbaf6e9c4/PDP_2021__Stream_bench_Framework_.pdf}}