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Embedded systems have limited resources, such as computation capabilities and battery life. The Dynamic Voltage and Frequency Scaling (DVFS) technique is used to save energy by running the processor of the embedded system at low voltage and frequency levels. However, this prolongs the execution time, which may cause potential deadline misses for real-time tasks. In this paper, we propose a general-purpose...
Energy preservation in computing systems is very important nowadays. A large percentage of the workload submitted to large-scale systems is bag-of-tasks (BoT) applications. Each BoT is a collection of independent tasks that do not communicate with each other. This type of tasks is used in astronomy, data mining and image processing. BoT load balancing has been studied in the literature from a performance...
Energy preservation in computing systems is very important nowadays. A large percentage of the workload submitted to large-scale systems is bag-of-tasks (BoT) applications. Each BoT is a collection of independent tasks that do not communicate with each other. This type of tasks is used in astronomy, data mining and image processing. BoT load balancing has been studied in the literature from a performance...
Available energy is the most critical limitation on the performance of embedded systems along with the increasing sophistication. Phase Change Memory (PCM), with high density and low idle power has recently been extensively studied as a promising alternative main memory of DRAM. In this paper, a hybrid PCM/DRAM main memory is utilized to leverage the low power of PCM and high performance of DRAM....
Energy reduction is very important nowadays. A large percentage of the workload submitted to large-scale systems is bag-of-tasks (BoT) applications. Each BoT is a collection of independent tasks that do not communicate with each other. They are used in astronomy, Monte Carlo simulations, data mining, fractal calculations, image processing and massive searches. Due to their importance, BoT scheduling...
Emerging trends in applications with the requirement of considerable computational capacity and decreasing time-to-market have urged the need of multiprocessor systems. With the advent of multiprocessor systems, there is an increased demand to efficiently control their energy and power budget. As the technology scales to increasingly smaller feature sizes, the static power consumption is expected...
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