NDLI: Scheduling stream programs with improving arithmetic unit usage on NoC-based VLIW multi-core architectures

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Scheduling stream programs with improving arithmetic unit usage on NoC-based VLIW multi-core architectures

Content Provider	ACM Digital Library
Author	Wei, Shaojun Jiang, Guoyue Wang, Fang Li, Zhaolin
Abstract	Stream programming model has received a lot of interest due to its naturally-exposed task, data and pipeline parallelism. Many researches concentrated on scheduling stream programs on multi-core systems. However, few of them consider the arithmetic unit utilization, which is a vital factor to determine the performance of multi-core systems. This paper focuses on scheduling stream programs on NoC-based VLIW multi-core architectures, aiming at improving the performance through increasing the arithmetic unit utilization. Three phases are proposed for the scheme. First, the stream program is replicated into multiple threads for providing enough parallel kernels. Second, parallel kernels are grouped and operators of each kernel group are scheduled together for high arithmetic unit utilization. Third, a hierarchical integer linear programming (ILP)-based methodology is proposed to map kernel groups onto each core for optimizing the maximum workload. A set of benchmarks are exploited for evaluation. Experimental results show that, compared with two other existing scheduling schemes, our proposed scheme can significantly improve the performance of the multi-core processor.
Starting Page	1
Ending Page	8
Page Count	8
File Format	PDF
ISBN	9781450333580
DOI	10.1145/2742854.2742872
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-05-06
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Multi-core Scheduling Stream programs Arithmetic unit utilization
Content Type	Text
Resource Type	Article

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