Performance Tuning on Multicore Systems for Feature Matching within Image Collections

About this item

Title

Performance Tuning on Multicore Systems for Feature Matching within Image Collections

Content partner

University of Otago

Collection

Otago University Research Archive

Description

Parallel programming is the mainstream for today's HPC applications. Programmers need to parallelize their programs to achieve better performance on multicore systems. However, due to a lack of good understanding of parallelism in algorithms, scheduling policy in runtime systems, and multicore architectures, programmers usually find it very hard to write high-performance, scalable programs on these parallel platforms. Although using a parallelized library written by experts can reduce the amo...

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Format

Research paper

Research format

Scholarly text / Conference paper

Thesis level

Conference Proceedings

Date created

2013-01-01

Creator

Tang, Xiaoxin / Mills, Steven / Eyers, David / Huang, Zhiyi / Leung, Kai-Cheung / Guo, Minyi / IEEE

URL

https://hdl.handle.net/10523/39702

Related subjects

Computer Science / Computer Science, Hardware & Architecture / Science & Technology / Technology

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