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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...
Recent projections suggest that applications and architectures will need to attain 75 GFLOPS/W in order to support future DoD missions. Meeting this goal requires deeper understanding of kernel and application performance as a function of power and architecture. As part of the PAKCK study, a set of DoD application areas, including signal and image processing and big data/graph computation, were surveyed...
Processing structures based on arrays of computational elements form an important class of architectures, which includes field programmable gate arrays (FPGAs), systolic arrays, and various forms of multicore processors. A wide variety of design methods and tools have been targeted to regular processing arrays involving homogeneous processing elements. In this paper, we introduce the concept of field...
Background subtraction is an important problem in computer vision and is a fundamental task for many applications. In the past, background subtraction has been limited by the amount of computing power available. The task was performed on small frames and, in the case of adaptive algorithms, with relatively small models to achieve real-time performance. With the introduction of multi- and many-core...
The current challenge for the financial services industry is to improve and refine the structures of the past to meet changing information requirements and to integrate them into existing enterprise architectures. In order to meet these computational demands, Grid computing presents a secure, reliable and scalable technology to provide shared access to heterogeneous resources.This paper presents a...
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