Ultrasound (US) elastography measures the deformation of tissue in response to applied force to derive and display its stiffness. It has been applied to various organs and tissues, e.g., as an adjunct tool to conventional US and X-ray mammography in the detection and characterization of breast masses. Real-time US elastography processing is demanding due to several computationally-expensive mod...

The discrete wavelet transform can be found at the heart of many image-processing algorithms. Until now, the transform on general-purpose processors (CPUs) was mostly computed using a separable lifting scheme. As the lifting scheme consists of a small number of operations, it is preferred for processing using single-core CPUs. However, considering a parallel processing using multi-core processo...

Microprocessor roadmaps clearly show a trend towards multiple core CPUs. Modern operating systems already make use of these CPU architectures by distributing tasks between processing cores thereby increasing system performance. This review article highlights a brief introduction of what a multicore system is, the various methods adopted to program these systems and also the industrial applicati...

The emergence and continuing use of multi-core architectures and graphics processing units require changes in the existing software and sometimes even a redesign of the established algorithms in order to take advantage of now prevailing parallelism. Parallel Linear Algebra for Scalable Multi-core Architectures (PLASMA) and Matrix Algebra on GPU and Multics Architectures (MAGMA ) are two project...

By distributing adaptively the data blocks to the processing cores to balance their computation loads and applying the strategy of “the extremum of the extremums” to select the data with the same keys, a cache-efficient and thread-level parallel algorithm for sorting Multisets on the multi-core computers is proposed. For the sorting Multisets problem, an aperiodic multi-round data distribution ...

This paper presents an implementation of Coincidence Algorithm on multi-core processors. The algorithm is suitable to solve combinatorial problems. The implementation uses Intel Threading Building Blocks library for parallel computation. The performance improvement is measured using several Traveling Salesman Problems. The result shows that a speedup of a dual-core processor over a single-core ...

In this study, we explore sequential and parallel processing architectures, utilizing a custom ultra-low-power (ULP) processing core, to extend the lifetime of health monitoring systems, where slow biosignal events and highly parallel computations exist. To this end, a singleand a multi-core architecture are proposed and compared. The single-core architecture is composed of one ULP processing c...

this paper surveys parallel scheduling problems and metrics correlated to and then applys metrics to make decision in comparison to other policy schedulers. parallel processing is new trend in computer science especially in embedded and multicore systems whereas needs more power consumption to reach speed up. the qos requirement for users is to have good responsiveness and for service providers...

* 30 Galesi Drive, Suite 202B, Wayne, NJ 07470, USA † 46555 Landing Parkway, Fremont, CA 94538, USA Abstract Software developers and architects creating and upgrading their code to run on new processor architectures for embedded market segments are trying to harness the processing power available from these multi-core platforms. These market segments include fraud detection, market risk analysi...