Therefore, the Jetson TK1 embedded computing platform has higher performance-power-cost efficiency over Jetson TX1 embedded computing platform in both computing performance measurement means.
Such devices/sensors have embedded computing nature, hence energy efficiency is their major concern.
WLS complements Intel's existing assets and enables growth in mobile computing, smartphones and embedded computing.
WLS will also contribute to Intel's strategy to make connected computing ubiquitous from smartphones to laptops to embedded computing.
Hence, the Jetson TX1 embedded computing platform has lower platform cost efficiency as compared to Jetson TK1 embedded computing platform in terms of GFLOPS throughput, and slightly higher platform cost efficiency as compared to Jetson TK1 embedded computing platform in terms of image output frame rate performance.
So, instead of 1 megabyte of data being transmitted, only 100 kilobyte are sent, notes Terry Stepien, Sybase senior vice president of mobile and embedded computing.
Multi-core technology becomes a new engine that drives performance growth for both microprocessors and embedded computing.
Wireless sensor networks (WSNs) are a combination of sensing technology, embedded computing technology, distributed information processing and communication technology [1, 2].
Wireless sensor networks (WSNs) [1] have increasingly drawn attentions of researchers in the areas of wireless communication, sensor technology, distributed systems, and embedded computing.
They have embedded computing power and they will support one of the application (apps) ecosystems (such as Google, Apple, Samsung and Microsoft).
