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IEEE international workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and applications

作者： Robert Hoettger Burkhard Igel Erik Kamsties University of Applied Sciences and Arts Pimes Research Institute Dortmund Germany

Tracking, partitioning and tracing in modern dynamic high performance computing systems are three of the most innovative and important development aspects for performance optimization purposes and state-of-the-art advanced quality. This paper discusses these three aspects with respect to distributed systems and proposes new mechanisms for an advanced utilization of software in this domain. We present a specific tracking mechanism via vector clocks for model and code partitioning purposes and the determination of causality relations. Further, a tracing approach for an effective analysis and thereby utilization of code and the corresponding architecture is introduced. The combination of both approaches leads to a high degree of parallelism and a fine-grained structure of execution units, that further traced, supports a precise analysis of synchronous and asynchronous system's behavior as well as an optimal load balancing. The mechanisms are introduced with respect to a model based control engineering tool and event diagrams.

关键词： Clocks Vectors Parallel processing Partitioning algorithms optimization Computer architecture Load management

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YASK—Yet Another Stencil Kernel: A Framework for HPC Stencil Code-Generation and Tuning

YASK—Yet Another Stencil Kernel: A Framework for HPC Stenci...

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international workshop on Domain-Specific Languages and High-Level Frameworks for High Performance Computing (WOLFHPC)

作者： Charles Yount Josh Tobin Alexander Breuer Alejandro Duran Intel Corporation USA Univ. of California San Diego USA Intel Corporation Iberia Spain

ISBN: (纸本)9781509061570

Stencil computation is an important class of algorithms used in a large variety of scientific-simulation applications. While the code for many problems can certainly be written in a straightforward manner in a high-level language, this often results in sub-optimal performance on modern computing platforms. On the other hand, adding advanced optimizations such as multi-level loop interchanges and vector-folding allows the code to perform better, but at the expense of reducing readability, maintainability, and portability. This paper describes the YASK (Yet Another Stencil Kernel) framework that simplifies the tasks of defining stencil functions, generating high-performance code targeted especially for Intel® Xeon® and Intel® Xeon Phi™ processors, and running tuning experiments. The features of the framework are described, including domain-specific-languages (DSLs), code generators for stencil-equation and loop code, and a genetic-algorithm-based automated tuning tool. Two practical use-cases are illustrated with real-world examples: the standalone YASK kernel is used to tune an isotropic 3D finitedifference stencil, and the generated YASK code is integrated into an external earthquake simulator.

关键词： Mathematical model Kernel optimization C++ languages Program processors Three-dimensional displays Tuning

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Factory Planning Model of Aircraft Engine Transmission Parts based on the Genetic Annealing Algorithm

Factory Planning Model of Aircraft Engine Transmission Parts...

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international Conference on Computer Science and Network Technology

作者： Jie Jia Pei Qin China Aviation Planning and Design Institute(Group) Co. Ltd. Beijing 100120 China Aviation Planning and Design Institue (Group) Co. Ltd. Beijing 100120

ISBN: (纸本)9781467381741

According to the premature convergence and low searching efficiency of the standard simulated annealing algorithm in workshop planning applications, this paper proposes a factory planning model of aircraft engine transmission parts based on improved genetic algorithm optimized simulated annealing. First, the mechanism floatingpoint coding is referenced to arithmetic crossover operation for crossover operator of genetic algorithm, and then adaptive mutation operators are adopted to keep the diversity of population, and the global optimization of the algorithm is improved. Finally, transmission parts factory programming model is constructed according to the characteristic of aviation engine. The results showed that compared with simulated annealing algorithm, the genetic simulated annealing algorithm has good convergence in application to factory planning.

关键词： Aircraft engine transmission parts factory planning model simulated annealing algorithm improved genetic algorithm Aircraft engines simulated annealing algorithm Genetic Algorithm (GA) Industrial Plants optimization algorithms

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Formulation of the Electric Vehicle Charging and Routing Problem for a Hybrid Quantum-Classical Search Space Reduction Heuristic

Formulation of the Electric Vehicle Charging and Routing Pro...

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international Conference on Intelligent Transportation

作者： Mikel Garcia De Andoin Alberto Bottarelli Sebastian Schmitt Izaskun Oregi Philipp Hauke Mikel Sanz Department of Physical Chemistry University of the Basque Country UPV/EHU Leioa Spain TECNALIA Basque Research and Technology Alliance (BRTA) Derio Spain EHU Quantum Center University of the Basque Country UPV/EHU Leioa Spain Dipartimento di Fisica Pitaevskii BEC Center CNR-INO Università di Trento Trento Italy INFN-TIFPA Trento Institute for Fundamental Physics and Applications Trento Italy Honda Research Institute Europe GmbH Offenbach Germany IKERBASQUE Basque Foundation for Science Bilbao Spain Basque Center for Applied Mathematics BCAM Bilbao Spain

Combinatorial optimization problems have attracted much interest in the quantum computing community in the recent years as a potential testbed to showcase quantum advantage. In this paper, we show how to exploit multilevel carriers of quantum information—qudits—for the construction of algorithms for constrained quantum optimization. These systems have been recently introduced in the context of quantum optimization and they allow us to treat more general problems than the ones usually mapped into qubit systems. In particular, we propose a hybrid classical quantum heuristic strategy that allows us to sample constrained solutions while greatly reducing the search space of the problem, thus optimizing the use of fewer quantum resources. As an example, we focus on the Electric Vehicle Charging and Routing Problem (EVCRP). We translate the classical problem and map it into a quantum system, obtaining promising results on a toy example which shows the validity of our technique.

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Linear Precoder Design for Physical Layer Security via Reconfigurable Intelligent Surfaces

Linear Precoder Design for Physical Layer Security via Recon...

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IEEE workshop on Signal Processing Advances in Wireless Communications (SPAWC)

作者： Gayan Amarasuriya Rafael F. Schaefer H. Vincent Poor Department of Electrical and Computer Engineering Southern Illinois University Information Theory and Applications Chair Technische Universität Berlin Dept. of Electrical Engineering Princeton University

ISBN: (数字)9781728154787

ISBN: (纸本)9781728154794

The feasibility of provisioning physical layer security via reconfigurable intelligent surfaces (RISs) is investigated. The key idea is to constructively combine the signals received through the direct and reflected channels at a legitimate user, while degrading the signal quality at a passive eavesdropper by destructive combining of these two signals enabled via a joint effect of intelligent phase control at a large number of passive reflective elements of the RIS and a corresponding precoder design of the base-station. To this end, we advocate adoption of linear precoders, which are designed based on cascaded channels, with sole optimization of phase-shifts at the RIS to maximize the achievable secrecy rate in the presence of a passive eavesdropper. The underlying optimization problem is solved by developing an alternating algorithm to iteratively update the phase-shifts of the RIS. Specifically, the optimal phase-shift design problem can be modeled as a semidefinite program by using relaxation techniques. Thereby, the optimal phase-shift values can be closely approximated by using Gaussian randomization techniques. Our numerical results show that the proposed technique serves as a practical-viable low-complexity alternative to joint optimization of non-linear precoder and RIS phase-shifts.

关键词： optimization Wireless communication Signal processing algorithms Physical layer Communication system security Transmission line matrix methods Fading channels

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Millimeter-wave technology for medical applications

Millimeter-wave technology for medical applications

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IEEE MTT-S international Microwave workshop Series (IMWS)

作者： Fujiang Lin Wei Hu Ao Li University of Science and Technology Hefei Anhui China

All living cells generate alternating electromagnetic fields. Cells communicate within our body in millimeter waves (mmWave), or frequencies centre at 42.2, 53.6, and 61.2 GHz. Unbalances in these waves are a basic cause for health problem. If an external low power (mW/cm2) mmWave source with right frequency is brought to right exposure site, it can stimulates and establish communicate with body cells and cell membranes. Harmonic and balanced resonance contact with the frequencies of the body can thus correct the unbalances in the organism. This non-thermal low-intensity electromagnetic energy treatment is millimeter-wave therapy (MWT), a new revolutionary method in health care. Scientifically it is based on quantum physics. Over 40 years of researches and clinic trials have been conducted, in particular in Russia. It has shown clear healing effect for cardiovascular disorders, diabetes, dermatitis, gastrointestinal disorders, wound healing, pain relief, and the reduction of toxic side effects of chemotherapy in cancer patients, depression, etc. In order to use millimeter-wave as an effective medical treatment method, we must first explore the different nature of the millimeter-wave source and a variety of specific effects on organisms, and based on them, doing specific treatment research and design optimization of millimeter-wave instruments, including millimeter-wave source, instrument hardware platform and treatment methods (algorithms). In addition, in order to using it in family occasions, there is a need for miniaturized medical devices, and do low-power design, and thus making it portable and wearable. In this talk, the most recently early staege MWT study will be shared, including possible mechanism and mininature MWT solutions in this new R&D direction for the next integrated waves of biology, neurology and electromagnetics coming together.

关键词： Millimeter wave technology Resonant frequency Cells (biology) Organisms Medical treatment

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Adjustable Module Isolation for Distributed Computing Infrastructures

Adjustable Module Isolation for Distributed Computing Infras...

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international workshop on Grid Computing

作者： Sven Schulz Wolfgang Blochinger Institute of Parallel and Distributed Systems (IPVS) University of Stuttgart Germany

Cloud Computing infrastructures and Grid Computing platforms are representatives of a new breed of systems that leverage the modularity paradigm to assemble large-scale dynamic applications from modules contributed by different, possibly untrustworthy providers. Increased susceptibility to faults, diminished accountability, and complex system configuration are major challenges when assembling and operating such systems. In this paper, we describe how to solve these problems by retrofitting module management systems with the ability to deploy modules to execution environments with adjustable degree of isolation. We give a formal definition of the underlying hierarchical Module Isolation Problem and devise an online algorithm to solve it in an incremental fashion. We discuss how to apply our approach to a state-of-the-art module management system and demonstrate its effectiveness by an experimental evaluation.

关键词： Virtual machining Production facilities Runtime Heuristic algorithms optimization Java Registers

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Bandwidth enhancement of microstrip patch antenna using Curve fitting based Differential Evolution and Cuckoo Search optimization - a comparative study

Bandwidth enhancement of microstrip patch antenna using Curv...

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international Conference and workshop on Computing and Communication (IEMCON)

作者： Arunava Mukhopadhyay Suvrajit Manna Sounak Lahiri Udit Sharma Malay Gangopadhyaya Pinaki Mukherjee Bob Gill Department of Electronics and Communication Engineering Institute of Engineering and Management Kolkata India Department of Electronics and Communication Engineering Govt. College of Engineering and Ceramic Technology Kolkata India Department of Electrical and Computer Engineering British Columbia Institute of Technology British Columbia Canada

ISBN: (纸本)9781509009978

Microstrip patch antenna has extensive applications in areas requiring light weight and low profile antenna sub system. Differential Evolution (DE) algorithm and Cuckoo Search (CS) algorithm are modern optimization algorithms used here for determining the design parameters of microstrip antenna. In literature, there does not exist any direct relation between the bandwidth of a microstrip patch antenna with its design parameters. In this paper, a relationship between bandwidth and geometrical parameters of co-ax fed microstrip patch antenna has been established using Curve fitting model. The investigation is performed for microwave frequencies over a certain range. A comparative study is performed between the results obtained for bandwidth enhancement by optimizing the patch length, patch width and the position of feed using DE and CS algorithms.

关键词： Bandwidth Microstrip antennas Patch antennas Microstrip optimization Algorithm design and analysis Feeds

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Adaptive reference update (ARU) algorithm. A stochastic search algorithm for efficient optimization of multi-drug cocktails

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BMC GENOMICS 2012年第6-Sup期13卷 S12-S12页

作者： Kim, Mansuck Yoon, Byung-Jun Texas A&M Univ Dept Elect & Comp Engn College Stn TX 77843 USA

Background: Multi-target therapeutics has been shown to be effective for treating complex diseases, and currently, it is a common practice to combine multiple drugs to treat such diseases to optimize the therapeutic outcomes. However, considering the huge number of possible ways to mix multiple drugs at different concentrations, it is practically difficult to identify the optimal drug combination through exhaustive testing. Results: In this paper, we propose a novel stochastic search algorithm, called the adaptive reference update (ARU) algorithm, that can provide an efficient and systematic way for optimizing multi-drug cocktails. The ARU algorithm iteratively updates the drug combination to improve its response, where the update is made by comparing the response of the current combination with that of a reference combination, based on which the beneficial update direction is predicted. The reference combination is continuously updated based on the drug response values observed in the past, thereby adapting to the underlying drug response function. To demonstrate the effectiveness of the proposed algorithm, we evaluated its performance based on various multi-dimensional drug functions and compared it with existing algorithms. Conclusions: Simulation results show that the ARU algorithm significantly outperforms existing stochastic search algorithms, including the Gur Game algorithm. In fact, the ARU algorithm can more effectively identify potent drug combinations and it typically spends fewer iterations for finding effective combinations. Furthermore, the ARU algorithm is robust to random fluctuations and noise in the measured drug response, which makes the algorithm well-suited for practical drug optimization applications.

关键词： Drug Combination Drug Response Drug Cocktail Reference Concentration Finite State Automaton

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Coded Caching with Uneven Channels: A Quality of Experience Approach

Coded Caching with Uneven Channels: A Quality of Experience ...

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IEEE workshop on Signal Processing Advances in Wireless Communications (SPAWC)

作者： MohammadJavad Salehi Antti Tölli Seyed Pooya Shariatpanahi Center for Wireless Communications (CWC) University of Oulu Oulu Finland School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran

ISBN: (数字)9781728154787

ISBN: (纸本)9781728154794

The rate performance of wireless coded caching schemes is typically limited by the lowest achievable per-user rate in the given multicast group, during each transmission time slot. In this paper, we provide a new coded caching scheme, alleviating this worst-user effect for the prominent case of multimedia applications. In our scheme, instead of maximizing the symmetric rate among all served users, we maximize the total quality of experience (QoE); where QoE at each user is defined as the video quality perceived by that user. We show the new scheme requires solving an NP-hard optimization problem. Thus, we provide two heuristic algorithms to solve it in an approximate manner; and numerically demonstrate the near-optimality of the proposed approximations. Our approach allows flexible allocation of distinct video quality for each user, making wireless coded caching schemes more suitable for real-world implementations.

关键词： Quality of experience Wireless communication Cache memory 5G mobile communication Video recording Quality assessment optimization

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