Parallel programming in mobile devices with FancyJCL

Mobile devices and handheld systems, such as the smartphones and tablets universally extended, are becoming increasingly powerful. Their basic hardware configuration is usually state-of-the-art heterogeneous architectures consisting of multi-core processors and some kind of accelerator such as GPUs...

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Vydáno v:The Journal of supercomputing Ročník 80; číslo 9; s. 12891 - 12909
Hlavní autoři: Afonso, Sergio, Gómez-Cárdenes, Óscar, Expósito, Paula, Blanco, Vicente, Almeida, Francisco
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Springer US 01.06.2024
Springer Nature B.V
Témata:
Compilers
Computer Science
Design
Efficiency
Electronic devices
Image processing
Interpreters
Java
Libraries
Memory management
Microprocessors
Operating systems
Parallel programming
Processor Architectures
Programming Languages
Smartphones
Heterogeneous systems
Parallel programming
Image processing
Performance analysis
Hardware acceleration
Mobile computing
Application programming interfaces
ISSN:0920-8542, 1573-0484
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Popis
Shrnutí:Mobile devices and handheld systems, such as the smartphones and tablets universally extended, are becoming increasingly powerful. Their basic hardware configuration is usually state-of-the-art heterogeneous architectures consisting of multi-core processors and some kind of accelerator such as GPUs or DSPs. Specific code adapted to the architecture is mandatory if high-performance computation is required and low-level libraries and parallelism are needed, which constitutes an important barrier for the usual developer in such devices. In this context, we propose the FancyJCL framework. It provides a high-level abstraction layer that hides implementation details and allows to develop parallel programs for mobile devices. The target platform for FancyJCL is mainly Android and Java developers due to their high market penetration. A very simple, seemingly sequential encoding results in parallel efficient OpenCL code. FancyJCL is itself based on the Fancier framework, which enables optimal memory management across memory spaces on unified memory systems. Benchmarks of FancyJCL code developed for a wide range of image processing algorithms show good performance with low development effort.
Bibliografie:ObjectType-Article-1
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ISSN:0920-8542
1573-0484
DOI:10.1007/s11227-024-05924-1