High-Performance Computation of Bézier Surfaces on Parallel and Heterogeneous Platforms.
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| Title: | High-Performance Computation of Bézier Surfaces on Parallel and Heterogeneous Platforms. |
|---|---|
| Authors: | Cheikh, Faouzi A.1, Palomar, Rafael1,2, Elle, Ole J.2,3, Gómez-Luna, Juan4, Olivares-Bueno, Joaquín4 |
| Source: | International Journal of Parallel Programming. Dec2018, Vol. 46 Issue 6, p1035-1062. 28p. |
| Subjects: | Graphics processing units, Parallel programs (Computer programs), Heterogeneous computing, Texture analysis (Image processing), Mathematical physics |
| Abstract: | Bézier surfaces are mathematical tools employed in a wide variety of applications. Some works in the literature propose parallelization strategies to improve performance for the computation of Bézier surfaces. These approaches, however, are mainly focused on graphics applications and often are not directly applicable to other domains. In this work, we propose a new method for the computation of Bézier surfaces, together with approaches to efficiently map the method onto different platforms (CPUs, discrete and integrated GPUs). Additionally, we explore CPU-GPU cooperation mechanisms for computing Bézier surfaces using two integrated heterogeneous systems with different characteristics. An exhaustive performance evaluation—including different data-types, rendering and several hardware platforms—is performed. The results show that our method achieves speedups as high as 3.12x (double-precision) and 2.47x (single-precision) on CPU, and 3.69x (double-precision) and 13.14x (single-precision) on GPU compared to other methods in the literature. In heterogeneous platforms, the CPU-GPU cooperation increases the performance up to 2.09x with respect to the GPU-only version. Our method and the associated parallelization approaches can be easily employed in domains other than computer-graphics (e.g., image registration, bio-mechanical modeling and flow simulation), and extended to other Bézier formulations and Bézier constructions of higher order than surfaces. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Parallel Programming is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 132975199 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: High-Performance Computation of Bézier Surfaces on Parallel and Heterogeneous Platforms. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Cheikh%2C+Faouzi+A%2E%22">Cheikh, Faouzi A.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Palomar%2C+Rafael%22">Palomar, Rafael</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Elle%2C+Ole+J%2E%22">Elle, Ole J.</searchLink><relatesTo>2,3</relatesTo><br /><searchLink fieldCode="AR" term="%22Gómez-Luna%2C+Juan%22">Gómez-Luna, Juan</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Olivares-Bueno%2C+Joaquín%22">Olivares-Bueno, Joaquín</searchLink><relatesTo>4</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Parallel+Programming%22">International Journal of Parallel Programming</searchLink>. Dec2018, Vol. 46 Issue 6, p1035-1062. 28p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Graphics+processing+units%22">Graphics processing units</searchLink><br /><searchLink fieldCode="DE" term="%22Parallel+programs+%28Computer+programs%29%22">Parallel programs (Computer programs)</searchLink><br /><searchLink fieldCode="DE" term="%22Heterogeneous+computing%22">Heterogeneous computing</searchLink><br /><searchLink fieldCode="DE" term="%22Texture+analysis+%28Image+processing%29%22">Texture analysis (Image processing)</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+physics%22">Mathematical physics</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Bézier surfaces are mathematical tools employed in a wide variety of applications. Some works in the literature propose parallelization strategies to improve performance for the computation of Bézier surfaces. These approaches, however, are mainly focused on graphics applications and often are not directly applicable to other domains. In this work, we propose a new method for the computation of Bézier surfaces, together with approaches to efficiently map the method onto different platforms (CPUs, discrete and integrated GPUs). Additionally, we explore CPU-GPU cooperation mechanisms for computing Bézier surfaces using two integrated heterogeneous systems with different characteristics. An exhaustive performance evaluation—including different data-types, rendering and several hardware platforms—is performed. The results show that our method achieves speedups as high as 3.12x (double-precision) and 2.47x (single-precision) on CPU, and 3.69x (double-precision) and 13.14x (single-precision) on GPU compared to other methods in the literature. In heterogeneous platforms, the CPU-GPU cooperation increases the performance up to 2.09x with respect to the GPU-only version. Our method and the associated parallelization approaches can be easily employed in domains other than computer-graphics (e.g., image registration, bio-mechanical modeling and flow simulation), and extended to other Bézier formulations and Bézier constructions of higher order than surfaces. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Parallel Programming is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10766-017-0506-1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 28 StartPage: 1035 Subjects: – SubjectFull: Graphics processing units Type: general – SubjectFull: Parallel programs (Computer programs) Type: general – SubjectFull: Heterogeneous computing Type: general – SubjectFull: Texture analysis (Image processing) Type: general – SubjectFull: Mathematical physics Type: general Titles: – TitleFull: High-Performance Computation of Bézier Surfaces on Parallel and Heterogeneous Platforms. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Cheikh, Faouzi A. – PersonEntity: Name: NameFull: Palomar, Rafael – PersonEntity: Name: NameFull: Elle, Ole J. – PersonEntity: Name: NameFull: Gómez-Luna, Juan – PersonEntity: Name: NameFull: Olivares-Bueno, Joaquín IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2018 Type: published Y: 2018 Identifiers: – Type: issn-print Value: 08857458 Numbering: – Type: volume Value: 46 – Type: issue Value: 6 Titles: – TitleFull: International Journal of Parallel Programming Type: main |
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