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Specifically, for today's image/video applications and systems, power consumption, memory space occupancy, area cost, and reliability are as important as performance.
General functional requirements of embedded sensor and actuator platforms have been taken into account when designing KASOM, with special attention in energy consumption, memory and bandwidth.
In order to achieve large reductions in energy consumption, memory footprint, and/or execution time, data structure related optimizations are a must.
Several processor versions are available for TMS320C6x family, which differ in instruction cycle time, speed, power consumption, memory, peripherals, packaging, and cost.
Improvements can be done in two directions: better algorithms that reduce the number of arithmetic operations required to compute a solution, and more efficient architectures in terms of speed, power consumption, memory occupancy and cost.
Effectiveness is evaluated by demonstrating the performance of the framework against a selected set of attacks, while efficiency is evaluated by comparing the performance overhead in terms of energy consumption, memory and CPU utilization, with the performance of a mainline, stock version of Android.
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The lower resistive switching voltage makes it a promising candidate for future low power consumption memories.
We also propose a rule for high-speed image processing and low consumption of memory space.
This may also reduce the power Consumption, since memory consumes a significant amount of processor's power.
Table 6 Total Energy consumption for memory hierarchy normalized to base cache and compared with other heuristics.
Buffer size Scheme Rec.
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