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A new scheduling technique based on Dynamic Voltage Scaling for MPSoC

Chang‐Woo Park, Kyung-Woo Noh, Seok-Yoon Kim

Open publisher page 3 citations

Abstract

The DVS(Dynamic Voltage Scaling) technique is the method to reduce the dynamic energy consumption. Using slack times, it extends the execution time of big load operations by changing frequency and voltage of variable voltage processors. Many researches have been going on to control the energy consumption of the processors and the data transmission among processors by controlling the bandwidth to reduce the energy consumption of the entire system. Since operations in multiprocessor systems have the data dependency between processors, however, the DVS techniques devised for single processors are not suitable to improve the energy efficiency of multiprocessor systems. We propose a new scheduling algorithm based on DVS for increasing energy efficiency of multiprocessor systems. The proposed DVS-based scheduling algorithm can improve the energy efficiency of entire systems because it controls frequency and voltages while considering the data dependency among processors.

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What this paper is about

The DVS(Dynamic Voltage Scaling) technique is the method to reduce the dynamic energy consumption. Using slack times, it extends the execution time of big load operations by changing frequency and voltage of variable voltage processors. Many researches have been going on to control the energy consumption of the processors and the data transmission among processors by controlling the bandwidth to reduce the energy consumption of the entire system. Since operations in multiprocessor systems have the data dependency between processors, however, the DVS techniques devised for single processors are not suitable to improve the energy efficiency of multiprocessor systems. We propose a new scheduling algorithm based on DVS for increasing energy efficiency of multiprocessor systems. The proposed DVS-based scheduling algorithm can improve the energy efficiency of entire systems because it controls frequency and voltages while considering the data dependency among processors.

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Available abstract

The DVS(Dynamic Voltage Scaling) technique is the method to reduce the dynamic energy consumption. Using slack times, it extends the execution time of big load operations by changing frequency and voltage of variable voltage processors. Many researches have been going on to control the energy consumption of the processors and the data transmission among processors by controlling the bandwidth to reduce the energy consumption of the entire system. Since operations in multiprocessor systems have the data dependency between processors, however, the DVS techniques devised for single processors are not suitable to improve the energy efficiency of multiprocessor systems. We propose a new scheduling algorithm based on DVS for increasing energy efficiency of multiprocessor systems. The proposed DVS-based scheduling algorithm can improve the energy efficiency of entire systems because it controls frequency and voltages while considering the data dependency among processors.

Key concepts: Dynamic voltage scaling, Computer science, Multiprocessing, Energy consumption, Frequency scaling, MPSoC, Scheduling (production processes), Parallel computing

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