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Triangle counting serves as a key building block for a set of important graph algorithms in network science. In this paper, we address the IEEE HPEC Static Graph Challenge problem of triangle counting, focusing on obtaining the best parallel performance on a single multicore node. Our implementation uses a linear algebra-based approach to triangle counting that has grown out of work related to our...
The Graph BLAS effort to standardize a set of graph algorithms building blocks in terms of linear algebra primitives promises to deliver high performing graph algorithms and greatly impact the analysis of big data. However, there are challenges with this approach, which our data analytics miniapp miniTri exposes. In this paper, we improve upon a previously proposed task-parallel approach to linear...
In this paper the performance of a new algorithm for path-planning of autonomous mobile robots is presented. This algorithm, SIA, is based on the Structured Intelligence Approach, which combines theories on genesis and classification of intelligent behavior in a transdisciplinary manner. The SIA utilizes available knowledge about the environment and handles dynamically changing environments during...
This IEEE Signal Processing Magazine forum discusses the latest advances and challenges in ultra-low power (ULP) signal processing (SP). The forum members bring their expert insights to issues such as design requirements and future applications of ULP SP systems.
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