Reducing DRAM Image Data Access Energy Consumption in Video Processing


This paper presents domain-specific techniques to reduce DRAM energy consumption for image data access in video processing. In mobile devices, video processing is one of the most energy-hungry tasks, and DRAM image data access energy consumption becomes increasingly dominant in overall video processing system energy consumption. Hence, it is highly desirable to develop domain-specific techniques that can exploit unique image data access characteristics to improve DRAM energy efficiency. Nevertheless, prior efforts on reducing DRAM energy consumption in video processing pale in comparison with that on reducing video processing logic energy consumption. In this work, we first apply three simple yet effective data manipulation techniques that exploit image data spatial/temporal correlation to reduce DRAM image data access energy consumption, then propose a heterogeneous DRAM architecture that can better adapt to unbalanced image access in most video processing to further improve DRAM energy efficiency. DRAM modeling and power estimation have been carried out to evaluate these domain-specific design techniques, and the results show that they can reduce DRAM energy consumption by up to 92%.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE :Reducing the Hardware Complexity of a Parallel Prefix Adder - 2018ABSTRACT:Currently, parallel prefix adders (PPA) are thought of effective combinational circuits for performing the binary addition of two multi-bit
PROJECT TITLE : Reducing Uncertainty of Probabilistic Top-k Ranking via Pairwise Crowd sourcing - 2017 ABSTRACT: Probabilistic top-k ranking is an important and well-studied question operator in uncertain databases. However,
PROJECT TITLE : Reducing the Cost of Triple Adjacent Error Correction in Double Error Correction Orthogonal Latin Square Codes - 2016 ABSTRACT: As multiple cell upsets (MCUs) become more frequent on SRAM memory devices, there
PROJECT TITLE: Data Encoding Techniques for Reducing EnergyConsumption in Network-on-Chip - 2015 ABSTRACT: As technology shrinks, the facility dissipated by the links of a network-on-chip (NoC) starts to compete with the facility
PROJECT TITLE :Data Encoding Techniques for Reducing Energy Consumption in Network-on-Chip (2014)ABSTRACT :The power dissipated by the connections of a network-on-chip (NoC) begins to compete with the power dissipated by the other

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry