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The need to analyze increasingly larger graph datasets has driven the exploration of new methods and unique system architectures for graph processing. One such method moves away from the typical edge- and vertex-centric approaches and describes graph algorithms using linear-algebra operations, bringing the added benefits of predictable data-access patterns and ease of implementation. The performance...
Image segmentation is essential to image processing because it provides a solution to the task of separating the objects in an image from the background and from each other, which is an important step in object recognition, tracking, and other high-level image-processing applications. By partitioning the input image into smaller regions, segmentation performs the balancing act of extracting the main...
Reconfigurable computing (RC) devices such as field-programmable gate arrays (FPGAs) offer significant advantages over fixed-logic, many-core CPU and GPU architectures, including increased performance for many computationally challenging applications, superior power efficiency, and reconfigurability. Difficulties of using FPGAs, however, has limited their acceptance in high-performance computing (HPC)...
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