Reasoning about naming systems
ACM Transactions on Programming Languages and Systems (TOPLAS)
Constraint satisfaction and debugging for interactive user interfaces
Constraint satisfaction and debugging for interactive user interfaces
A study on video browsing strategies
A study on video browsing strategies
The cubic mouse: a new device for three-dimensional input
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
An extensive empirical study of feature selection metrics for text classification
The Journal of Machine Learning Research
Boost.SIMD: generic programming for portable SIMDization
Proceedings of the 2014 Workshop on Programming models for SIMD/Vector processing
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Mobile platforms have compute-bound applications, which will be executed on top of ARM processors in many cases. For such applications, the use of the ARM NEON technology should be considered since it can significantly increase the computing power of the underlying processor for vector operations. The ARM NEON technology is a media processing architecture based on SIMD (Single Instruction Multiple Data) that adds instructions targeted primarily for audio, video, and 3-D graphics processing. In this paper, we evaluate the ARM NEON technology in ARM Cortex-A8 processor for several open-source applications. To do this, we use the auto-vectorization feature of the ARM GCC compiler, which is implemented with the NEON technology. The evaluation criteria include program code size, execution time and power consumption, which are crucial in most embedded systems.