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The volume, variety, and velocity properties of big data and the valuable information it contains have motivated the investigation of many new parallel data processing systems in addition to the approaches using traditional database management systems (DBMSs). MapReduce pioneered this paradigm change and rapidly became the primary big data processing system for its simplicity, scalability, and fine-grain...
Sharpness is an algorithm used to sharpen images. As the increase of image size, resolution, and the requirements for real-time processing, the performance of sharpness needs to get improved greatly. The independent pixel calculation of sharpness makes a good opportunity to use GPU to largely accelerate the performance. However, to transplant it to GPU, one challenge is that sharpness involves several...
Due to the idiosyncrasies of NAND flash memories, such as erase-before-write and bulk erase, SSDs employ an internal garbage collection process to recycle obsolete data to provide free spaces. To overlap the cleaning with I/O services in parallel units of multi-channel SSDs, a finer-granularity cleaning has been proposed, namely background cleaning. This method is not widely accepted for its reliability...
Systematically exploring power, performance, and energy sheds new light on the clash of two trends that unfolded over the past decade: the rise of parallel processors in response to technology constraints on power, clock speed, and wire delay; and the rise of managed high-level, portable programming languages.
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