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IEEE Journal of Solid-State Circuits, ISSN 0018-9200, 04/2014, Volume 49, Issue 4, pp. 827 - 837
3840 × 2160 and 7680 × 4320 UHDTV formats deliver remarkably enhanced visual experience relative to high definition but in the meanwhile involve huge... 
SHV | Schedules | H264/AVC | ultra high definition television | video encoder | Motion estimation | VLSI | Vectors | Encoding | ASIC | Loading | Computer architecture | super hi-vision | UHDTV | Clocks | motion estimation | DESIGN | H.264 | DATA REUSE | ALGORITHM | VLSI ARCHITECTURE | ENGINEERING, ELECTRICAL & ELECTRONIC | CHIP | H264/ AVC
Journal Article
Journal Article
IEEE Journal of Solid-State Circuits, ISSN 0018-9200, 01/2013, Volume 48, Issue 1, pp. 214 - 228
Journal Article
IEEE Transactions on Parallel and Distributed Systems, ISSN 1045-9219, 11/2015, Volume 26, Issue 11, pp. 3175 - 3183
Journal Article
IEEE Transactions on Circuits and Systems II: Express Briefs, ISSN 1549-7747, 12/2018, Volume 65, Issue 12, pp. 2032 - 2036
Journal Article
Journal of Circuits, Systems and Computers, ISSN 0218-1266, 09/2015, Volume 24, Issue 8
Journal Article
Concurrency and Computation: Practice and Experience, ISSN 1532-0626, 07/2019, Volume 31, Issue 13, pp. e5072 - n/a
Summary We present a high‐performance implementation of the lattice‐Boltzmann method (LBM) on the Knights Landing generation of Xeon Phi. The Knights Landing... 
Xeon Phi | Lattice Boltzmann | SIMD | prefetching | COMPUTER SCIENCE, SOFTWARE ENGINEERING | COMPUTER SCIENCE, THEORY & METHODS | Porous media | Central processing units--CPUs | Algorithms | Computational fluid dynamics | Microprocessors | Computer simulation | Mathematical analysis | Fluid flow | Vector processing (computers) | Porous media flow | Landing
Journal Article
IEEE Journal of Solid-State Circuits, ISSN 0018-9200, 07/2013, Volume 48, Issue 7, pp. 1625 - 1637
Low-power sensing technologies have emerged for acquiring physiologically indicative patient signals. However, to enable devices with high clinical value, a... 
Support vector machines | Adaptation models | medical signal processing | Computational modeling | support vector machine (SVM) | biomedical electronics | Brain models | Data models | Active learning (subject-specific adaptation) | machine learning (artificial intelligence) | Kernel | DEVICES | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
Journal Article
IEEE Journal of Solid-State Circuits, ISSN 0018-9200, 06/2017, Volume 52, Issue 6, pp. 1628 - 1642
Journal Article
Computer Languages, Systems & Structures, ISSN 1477-8424, 01/2018, Volume 51, pp. 158 - 175
Journal Article
Ruan Jian Xue Bao/Journal of Software, ISSN 1000-9825, 12/2018, Volume 29, Issue 12, pp. 3921 - 3932
Journal Article
Optics Communications, ISSN 0030-4018, 06/2016, Volume 369, pp. 199 - 208
An effective machine learning algorithm, the support vector machine (SVM), is presented in the context of a coherent optical transmission system. As a... 
Fiber nonlinearity | Coherent detection | Digital signal processing | Machine learning | DESIGN | COMPENSATION | PERFORMANCE | DISPERSION | LINKS | TRANSMISSION | SUPPORT VECTOR MACHINE | OPTICS | COMMUNICATION | Signal processing | Algorithms | Data mining | Digital signal processors | Support vector machines | Noise | Coherence | Launches | Nonlinearity | Complexity
Journal Article
Proceedings of the 2014 international symposium on low power electronics and design, ISSN 1533-4678, 08/2014, Volume 2015-, pp. 39 - 44
Conference Proceeding