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检索条件"任意字段=8th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing"

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Using the distribution of cells by dimension in a cylindrical algebraic decomposition 16

Using the distribution of cells by dimension in a cylindrica...

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16th international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Wilson, David England, Matthew Bradford, Russell Davenport, James H. Univ Bath Dept Comp Sci Bath BA2 7AY Avon England

ISBN: (纸本)9781479984480

We investigate the distribution of cells by dimension in cylindrical algebraic decompositions (CADs). We find that they follow a standard distribution which seems largely independent of the underlying problem or CAD algorithm used. Rather, the distribution is inherent to the cylindrical structure and determined mostly by the number of variables. this insight is then combined with an algorithm that produces only full-dimensional cells to give an accurate method of predicting the number of cells in a complete CAD. Since constructing only full-dimensional cells is relatively inexpensive (involving no costly algebraic number calculations) this leads to heuristics for helping with various questions of problem formulation for CAD, such as choosing an optimal variable ordering. Our experiments demonstrate that this approach can be highly effective.

关键词： algebra CAD cells distribution cylindrical algebraic decomposition full-dimensional cells optimal variable ordering Buildings Complexity theory Design automation Polynomials Prediction algorithms scientific computing Standards cell distribution heuristic problem formulation Computer-Aided Design cellular distribution Problem Formulation Prediction algorithms scientific computing Algebra Complexity theory Heuristics Polynomial Buildings DFFB gene dimensions Cells Cylindrical

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OFBench: an Enterprise Application Benchmark for Cloud Resource Management Studies

OFBench: an Enterprise Application Benchmark for Cloud Resou...

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14th international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Moschetta, Jean Casale, Giuliano Univ London Imperial Coll Sci Technol & Med Dept Comp London SW7 2AZ England

ISBN: (纸本)9780769549347;9781467350266

We introduce OFBench, a new research benchmark for enterprise applications. OFBench is a load generator for the demo e-commerce component of the Apache OFBiz enterprise resource planning (ERP) framework. ERP applications are increasingly important in the cloud market due to the growing popularity of Software-as-a-Service (SaaS) solutions, hence OFBench is useful to explore the resource consumption patterns arising in these applications. On client-side, OFBench features randomized customer surfing patterns, workload generation based on automation of real web browsers, reproducible burstiness in inter-request and inter-session think times, non-stationary workload generation. On server-side, it features JMX performance monitoring, business logic instrumentation, and synchronization with client-side monitoring via TCP sockets. We illustrate the execution of the benchmark in example runs and use them to investigate the overheads of JMX-based monitoring.

关键词： Web services cloud computing electronic commerce enterprise resource planning formal logic randomised algorithms resource allocation synchronisation transport protocols

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Identification of Discrete Non-Linear Dynamics of a Radio-Frequency Power Amplifier Circuit using symbolic Regression 24

Identification of Discrete Non-Linear Dynamics of a Radio-Fr...

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24th international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Steiger, Martin Brachtendorf, Hans-Georg Kronberger, Gabriel UAS Upper Austria Embedded Syst Lab Hagenberg Austria UAS Upper Austria Josef Ressel Ctr Symbol Regress Heurist & Evolutionary Algorithms Lab Hagenberg Austria

ISBN: (纸本)9781665465458

the identification of non-linearities or undesirable dynamic behavior of electrical components is a common problem. Previous modeling forms are largely based on extensive physical knowledge at the semiconductor level, which has produced reliable solutions over the past decades. this however implies the measurement of physical prototypes in laboratories, which can be costly. It is therefore desirable to have reliable software models of the prototypes available to outsource this procedure to simulators. this paper presents a number of solutions from the field of empirical modeling including symbolic regression, which allow to parameterize such models from measured values. As an example we are utilizing time-domain data from a real radio-frequency power amplifier circuit. We compare a Hammerstein-Wiener model with two methods for symbolic regression, and find that the Hammerstein-Wiener model produces the best predictions but has many non-zero coefficients. Both symbolic regression methods produce short linear models with slightly higher prediction error than the HW model.

关键词： Non-Linear System Identification Sparse Identification Genetic Programming symbolic Regression Power Amplifier

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On computing non-negative loop-free edge-bipartite graphs

On computing non-negative loop-free edge-bipartite graphs

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15th international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Marczak, Grzegorz Simson, Daniel Zajac, Katarzyna Nicolaus Copernicus Univ Fac Math & Comp Sci Torun Poland

ISBN: (纸本)9781479930357

We continue the Coxeter spectral study of finite connected loop-free edge-bipartite graphs Delta, with n >= 2 vertices (a class of signed graphs), started in [ SIAM J. Discrete Math., 27(2013), 827-854] by means of the complex Coxeter spectrum specc(Delta) subset of C. Here, we discuss Coxeter spectral analysis problems of non-negative edge-bipartite graphs of corank s <= n - 1, which means that the symmetric Gram matrix G(Delta) is an element of M-n(Z) is positive semi-definite of rank n - s <= n. In particular, we study in details the loop-free edge-bipartite graphs of corank s = n - 1. We present algorithms that generate all such edge-bipartite graphs of a given size and, using symbolic and numerical computer calculations in Python, and we obtain their complete classification in relation with Diophantine geometry problems. We also construct algorithms that allow us to classify all connected loop-free non-negative edge-bipartite graphs Delta, with a fixed number n >= 2 of vertices, by means of their Coxeter spectra specc(Delta).

关键词： Coxeter spectrum Z-congruence edge-bipartite graph mesh root system unit quadratic form Bipartite graph loop-free Nonnegative Positive semi-definite Pythonidae

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Supporting the Development and Operation of Multi-Cloud Applications: the MODAClouds Approach

Supporting the Development and Operation of Multi-Cloud Appl...

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15th international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Di Nitto, Elisabetta da Silva, Marcos Aurelio Almeida Ardagna, Danilo Casale, Giuliano Craciun, Ciprian Dorin Ferry, Nicolas Muntes, Victor Solberg, Arnor Politecn Milan DEIB I-20133 Milan Italy SOFTEAM Paris France Univ London Imperial Coll Sci Technol & Med London England IEAT Timisoara Romania SINTEF Oslo Norway CA Barcelona Spain

ISBN: (纸本)9781479930357

Vendor lock-in and cloud outages are two important challenges that make IT managers reluctant in widely adopting the cloud within the enterprise. Vendor lock-in happens when the adoption of cloud provider-specific technologies and APIs forces consumers to stay with the same provider even if they would like to change. Cloud outages can happen to any provider, as the events of the last years have largely demonstrated, and have a critical impact on the actual reliability of cloud applications. A solution to both problems could be to support application developers and operators in the adoption of a multi-cloud approach: applications are built to run and replicate on different clouds, and mechanisms for fast switching from a cloud installation to the other are offered. In the MODA Clouds project we pursue this approach and rely on model-driven development combined with risk analysis and quality prediction. In this paper we provide an overview of our approach and present the architecture of the corresponding platform.

关键词： cloud computing multi-cloud applications model-driven design QoS analysis monitoring self-adaptation

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Reducing energy consumption by using Clouds

Reducing energy consumption by using Clouds

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15th international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Brandic, Ivona Vienna Univ Technol Vienna Austria

ISBN: (纸本)9781479930357

Cloud computing is a promising technology for the realization of large, scalable, and on-demand provisioned computing infrastructures. Currently, many enterprises are adopting Clouds to achieve high performance and scalability for their applications while maintaining low costs. Service provisioning in the Cloud is based on a set of predefined nonfunctional properties specified and negotiated by means of Service Level Agreements (SLAs). Cloud workloads are dynamic and change constantly. thus, in order to reduce steady human interactions, self-manageable Cloud techniques are required to comply with the agreed customers' SLAs. Flexible and reliable management of SLAs is of paramount importance for both, Cloud providers and consumers. On one hand, the prevention of SLA violations avoids penalties that are costly to providers. On the other hand, based on flexible and timely reactions to possible SLA violation threats, user interaction with the system can be minimized enabling Cloud computing to take roots as a flexible and reliable form of on-demand computing. Furthermore, a trade-off has to be found between proactive actions that prevent SLA violations and those that reduce energy consumption, i.e., increase energy efficiency. In this talk we discuss how the application of Cloud computing technologies can support the work of scientists working in the field of high-throughput sequencing, while at the same time optimizing utilization of resource and increasing energy efficiency.

关键词： Clouds Cloud computing Energy efficiency energy consumption SLA gene reduced power FLEXIBLE CLOUDS Scalability user-computer interaction Speaking

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Early Prediction of the Cost of HPC Application Execution in the Cloud 16

Early Prediction of the Cost of HPC Application Execution in...

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16th international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Rak, Massimiliano Turtur, Mauro Villano, Umberto Univ Naples 2 Dept Ind & Informat Engn Aversa Italy Univ Sannio Dept Engn Benevento Italy

ISBN: (纸本)9781479984480

Even if clouds are not fit for high-end HPC applications, they could be profitably used to bring the power of economic and scalable parallel computing to the masses. But this requires both simple development environments, able to exploit cloud scalability, and the capability to easily predict the cost of HPC application runs. this paper presents a framework built on the top of a cloud-aware programming platform (mOSAIC) for the development of bag-of-tasks scientific applications. the framework integrates a cloud-based simulation environment able to predict the behavior of the developed applications. Simulations enable the developer to predict at an early development stage performance and cloud resource usage, and so the infrastructure lease cost on a public cloud. the paper sketches the framework organization and discusses the approach followed for application development. Moreover, some validation tests of prediction results are presented.

关键词： cloud computing parallel processing HPC application execution cost prediction bag-of-tasks scientific applications cloud aware programming platform cloud resource usage cloud-based simulation environment mOSAIC public cloud scalable parallel computing Benchmark testing Cloud computing Computational modeling Corporate acquisitions Load modeling Prediction algorithms Predictive models Cloud computing bag of tasks mosaic performance prediction scientific applications simulation Cloud computing PARALLEL PROCESSING (COMPUTERS) corporate acquisitions Benchmark testing mosaic pattern Prediction algorithms Load modeling performance prediction Computational modeling Prediction models Clouds Patchy burn Mosaic CLOUDS High Performance computing

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'Descente Infinie' Induction-based Saturation Procedures

'Descente Infinie' Induction-based Saturation Procedures

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9th international symposium on symbolic and numeric algorithms for scientific computing

作者： Stratulat, Sorin Univ Paul Verlaine Metz LITA F-57000 Metz France

ISBN: (纸本)9780769530789

In [11], we have shown that implicit induction and saturation proof techniques share the same logic, witnessed by an inference system implementing the Fermat's 'Descente Infinie' induction principle. As a case study, a simple paramodulation-based inference system has been proved as an instance of it. In this paper, we detail the instantiation method to treat general saturation-based systems and apply it to analyse a non-trivial resolution-based system. We also propose a methodology to build variants of existing systems, which preserve crucial properties like soundness and refutational completeness.

关键词： Logic Carbon capture and storage Inference algorithms scientific computing Computer science Calculus Testing Concrete

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Adapting a partitioning-based heuristic load-balancing algorithm to heterogeneous computing environments

Adapting a partitioning-based heuristic load-balancing algor...

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7th international symposium on symbolic and numeric algorithms for scientific computing

作者： Petcu, D W Univ Timisoara Dept Comp Sci Inst eAustria Timisoara Timisoara 300223 Romania

A graph partitioning-based heuristic load-balancing algorithm known as the Largest-task- rst-with-minimum- nish-time-and-available-communication-costs from EVAH package [3] is modied in order to be dynamically adapted... 详细信息

ISBN: (纸本)0769524532

关键词： Natural sciences computing

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A Combined Analytical Modeling Machine Learning Approach for Performance Prediction of MapReduce Jobs in Cloud Environment 18

A Combined Analytical Modeling Machine Learning Approach for...

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18th international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Ataie, Ehsan Gianniti, Eugenio Ardagna, Danilo Movaghar, Ali Sharif Univ Technol Dept Comp Engn Tehran Iran Politecn Milan Dipartimento Elettron Informaz & Bioingn Milan Italy

ISBN: (纸本)9781509057078

Nowadays MapReduce and its open source implementation, Apache Hadoop, are the most widespread solutions for handling massive dataset on clusters of commodity hardware. At the expense of a somewhat reduced performance in comparison to HPC technologies, the MapReduce framework provides fault tolerance and automatic parallelization without any efforts by developers. Since in many cases Hadoop is adopted to support business critical activities, it is often important to predict with fair confidence the execution time of submitted jobs, for instance when SLAs are established with end-users. In this work, we propose and validate a hybrid approach exploiting both queuing networks and support vector regression, in order to achieve a good accuracy without too many costly experiments on a real setup. the experimental results show how the proposed approach attains a 21% improvement in accuracy over applying machine learning techniques without any support from analytical models.

关键词： Analytical performance modeling machine learning cloud computing MapReduce

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