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Fast numerical Evaluation for symbolic Expressions in Java

Fast Numerical Evaluation for Symbolic Expressions in Java

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IEEE international Conference on High Performance computing and Communications (HPCC)

作者： Yueming Liu Peng Zhang Meikang Qiu Department of Mathematics University of Texas at Arlington Arlington TX United States Biomedical Engineering Department Stony Brook University Stony Brook NY United States Computer Science Department Pace University New York NY United States

ISBN: (纸本)9781479989386

the symbolic-numeric computation has been extensively developed in scientific computing for experimenting mathematics in numerical programs, like in optimization problems and finite element methods. Many software and libraries have been developed to support symbolic-numeric computation especially in the recent years. However, most of the implementations are cumbersome and inefficient for numerically evaluating symbolic expressions. the popular implementation chooses the way that generates C/C++/FORTRAN source codes for symbolic expressions and compiles the source files using the external compilers. the compiled machine codes are then linked back to the symbolic manipulation language environment. thi sprocess suffers from slow compilation and significant overhead of external function calls. To address this problem, this paper presents a handy approach that provides fast numerical evaluation for symbolic expressions in Java. In our approach, Java bytecode is generated in memory for symbolic expressions and further Just-In-Time (JIT) compiled to machine codes onJava Virtual Machine (JVM) at runtime. We have developedSymJava (https://***/yuemingl/SymJava) to implement our approach and tested a range of benchmark problems. the results show that SymJava is 1~3 orders of magnitude faster than the existing implementations including Matlab, Mathematica, Sage, theano and SymPy. Additionally, SymJava offers a human friendly programming style for symbolic expressions by overloading operators in Java. Our approach opens up a new avenue for the development of next generation symbolic-numeric software.

关键词： Java Libraries MATLAB Benchmark testing Mathematics Runtime

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Solar Flare Classification using Modified Metaheuristic Optimized XGBoost

Solar Flare Classification using Modified Metaheuristic Opti...

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

作者： Branislav Radomirovic Luka Jovanovic Catalin Stoean Miodrag Zivkovic Angelina Njegus Nebojsa Bacanin Faculty of Informatics and Computing Singidunum University Belgrade Serbia Faculty of Technical Sciences Singidunum University Belgrade Serbia Department of Computer Science University of Craiova Craiova Romania

the Sun has a significant effect on nearly everything in the solar system. While a relatively tame star, it is nevertheless prone to strong emissions of energy in the form of solar flares. Events frequency follows a cycle of approximately 11 years. At the peak of this cycle, events occur more often. Powerful events can even reach the Earth and cause magnetic storms that can disrupt radio communications, satellite trajectories, and navigation. Particular energetic events can even cause significant harm to power and telecommunications infrastructure. A need for a robust system capable of accurately handling classification is evident. this work proposes an approach based on extreme gradient boosting optimized via metaheuristic algorithms and applied to a real-world observation dataset. Outcomes have been compared to several modern optimization algorithms and the outcomes are promising. the results have been statistically validated as significant, and the best models analyzed to determine feature impacts on classifications.

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Pedestrian Trajectory Prediction Based on Tree Method using Graph Neural Networks

Pedestrian Trajectory Prediction Based on Tree Method using ...

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

作者： Bogdan Ilie Sighencea Department of Applied Electronics Politehnica University of Timișoara Timișoara Romania

Pedestrian trajectory prediction in real-world scenarios is a challenging task for several computer vision applications, such as autonomous driving, video surveillance, and robotic systems. this is not a trivial task due to the numerous potential trajectories. In this article, it provides a tree-based approach to handle this multimodal prediction challenge. the tree is designed based on the observed data and is also used to predict future trajectories. In particular, an individual's potential future trajectory is represented by the tree's root-to-leaf route. Compared to previous approaches that use implicit latent variables to describe possible future paths, the movement behaviors may be directly represented by the path in the tree (e.g., go straight and then turn left), and thus offer more socially suitable trajectories. the experimental results on the Eth, UCY, and Stanford Drone datasets show that this approach can exceed the performance of the state-of-the-art approaches. the solution is more efficient and compact, with a smaller model size and a higher accuracy, and delivers better results with reference to average displacement error (ADE) and final displacement error (FDE) metrics.

关键词： Measurement scientific computing Predictive models Video surveillance Prediction algorithms Graph neural networks Trajectory

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Primal Congestion Control algorithms for Multimedia Streams

Primal Congestion Control Algorithms for Multimedia Streams

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

作者： Adrian Sterca Department of Computer Science Babes Bolyai University Cluj-Napoca Romania

We investigate in this paper congestion control algorithms that are TCP-friendly and media-friendly at the same time, so they are more suitable for multimedia streaming than TCP's AIMD. We use in this investigation the optimization framework developed by Kelly et al. in. Kelly et al. derived two gradient-like algorithms, a primal algorithm and a dual one, to control the congestion in a computer network in an end-to-end way and to obtain optimal bandwidth allocation among competing sources. Starting with Kelly et. al's paper, several other papers proposed different variants of the original primal and dual algorithms, but none of these considers the specific characteristics of multimedia streams. the aim of this paper is to build window-based, primal congestion control algorithms for optimizing the perceived quality of multimedia streams in best-effort networks. We build these media-friendly primal congestion control algorithms using the following recipe: 1) first we construct a window-based congestion control algorithm that is TCP-friendly, but has a much more stable throughput and then 2) we shape this stable throughput according to media characteristics (e.g. bitrate). We present two such primal congestion control algorithms and prove their stability around the equilibrium.

关键词： Streaming media Multimedia systems Bit rate Internet Bandwidth Shape control Multimedia computing throughput Codecs Network servers

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Hardware Implementation of P Systems Using Microcontrollers. An Operating Environment for Implementing a Partially Parallel Distributed Architecture

Hardware Implementation of P Systems Using Microcontrollers....

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

作者： Sandra Maria Gomez Canaval Abraham Gutierrez Rodriguez Santiago Alonso Villaverde Natural Computing Group Universidad Politecnica de Madrid Madrid Spain

Nowadays, important efforts in the research of the Transition P Systems have been focused on the simulation/implementation of the massively parallel character ofthe model. the distributed implementation of P Systems hasmet with the communications bottleneck problem. In thissense, there are several research works on analysis for distributed architectures that are technology independent and avoiding communication collisions. Recent works presentanalysis on the suitability for implementing theses architectures using an universal membrane hardware/software component based on microcontrollers. these implementations are directly programming on hardware components and the resulting data is analyzed by means of a specific program which translates the execution bit code into intelligible data for researchers. the aim of this work is to present an operating environment to automate manual tasks performed during the loading, execution and interpretation of P System into distributed architectures based on microcontrollers as well as the interpretation from inner binary data representation inside of microcontrollers.

关键词： Hardware Microcontrollers Biomembranes Computer architecture Independent component analysis Biological system modeling Power system modeling Evolution (biology) Network topology scientific computing

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Decentralized Dynamic Resource Allocation for Workflows in Grid Environments

Decentralized Dynamic Resource Allocation for Workflows in G...

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

作者： Florin Pop Ciprian Dobre Valentin Cristea Faculty of Automatics and Computer Science University Politehnica of Bucharest Romania

In this paper we present an innovative decentralized dynamic resource scheduling solution of large scale application workflows onto distributed, heterogeneous grid environments. the presented resource allocation solution aims to optimize large-scale scientific application workflows by efficiently and effectively mapping and scheduling them onto grid resources. the proposed solution is part of a framework that aims to help scientists easily deploy large-scale scientific workflow applications from a wide-range of research fields. the decentralized architecture, together with the scheduling policies and fault management being proposed in this paper, are specifically designed to optimize the scheduling management for workflows in case of a wide range of grid environment. In order to demonstrate the validity and performance of the presented scheduling solution we propose using modeling and simulation techniques. For that we present the characteristics of a generic simulator that includes all the necessary components to help in evaluating a wide-range of scheduling procedures, such as the ones presented in this, in the context of large-scale heterogeneous grid environment.

关键词： Resource management Processor scheduling Large-scale systems Dynamic scheduling Scheduling algorithm Application software Environmental management Computational modeling Context modeling Grid computing

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Random Numbers for Quantum Key Distribution

Random Numbers for Quantum Key Distribution

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

作者： Hugo Zbinden Group of Applied Physics University of Geneva Geneva Switzerland

Quantum key distribution (QKD) has seen an important development for the last ten years. Nowadays, different companies offer commercial solutions and key exchanges at pulse rates of up to 1 GHz and over distances of up to 200 km have been demonstrated in research labs. However, the generation of random bit strings has often been neglected and it remains a technical problem, as physical random number generators have still insufficient bit rates for high speed QKD. In this talk, after an introduction in QKD, a state of the art prototype developed at the University of Geneva was presented. this prototype allows generating keys at high rates over up to 200 km of optical fiber. However, due to the lack of high rate physical random generators, random bits at a rate of 350 MHz are produced by a pseudo random number generator seeded by random bits originating from a quantum random number generator (4 MHz, id Quantique). It was show how an eavesdropper could attack a QKD system based on pseudo random numbers. Finally, different possibilities to increase the rates of quantum random number generators was discussed.

关键词： Random number generation Prototypes scientific computing Quantum computing Physics Bit rate Optical fibers

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A Data Aggregation Strategy Based on Wavelet for the Internet of things

A Data Aggregation Strategy Based on Wavelet for the Interne...

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

作者： Barbara Guidi Andrea De Salve Laura Ricci Department of Computer Science University Of Pisa Pisa Italy Istituto di Informatica e Telematica Consiglio Nazionale delle Ricerche Pisa Italy

ISBN: (纸本)9781538626276

the advent of emerging information and communication technologies, such as RFID, small size sensors and sensor networks, has made accessible a huge amount of information that requires sophisticated and efficient search algorithms to support queries on that data. In this paper we focus on the problem of aggregating data collected from these devices to efficiently support queries, inferences or statistics on them. In general, data aggregation techniques are necessary to efficiently collect information in a compact and cost-effective way. Some current solutions try to meet the above criteria, by exploiting different data aggregation techniques, for instance BitVector or Q_Digest. In this manuscript, we exploit the mathematical wavelet structure to define a sophisticated data aggregation technique for information collected from different nodes. the aggregated data is then exploited for solving multi-dimensional range queries. Experimental results based on simulations of a real dataset show the effectiveness of our approach with respect to other aggregation strategies.

关键词： Peer-to-peer computing Data aggregation Histograms Internet of things Sensor phenomena and characterization Proposals

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Evaluating the Auto Scaling Performance of Flexiscale and Amazon EC2 Clouds

Evaluating the Auto Scaling Performance of Flexiscale and Am...

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

作者： Filippo Lorenzo Ferraris Davide Franceschelli Mario Pio Gioiosa Donato Lucia Danilo Ardagna Elisabetta Di Nitto Tabassum Sharif Dipartimento di Elettronica e Informazione Politecnico di Milano Italy Flexiant Limited Edinburgh UK

Nowadays cloud computing is becoming one of the most used technological solution to achieve scalability and reduce costs. Scalability is a key point for the success of any business involving the Web and providing services to end-user requests that may vary drastically from one time to another. Sizing a system to provide performance guarantees under peak traffic can be cost prohibitive, the main advantage of cloud computing lays in the opportunity to allocate resources on-demand on a pay per use basis. In this paper we extend Flexi scale public cloud with auto scaling mechanisms and compare these mechanisms with those offered by Amazon. the analysis aims at identifying useful patterns for the execution of Web applications in the cloud and at underlining the critical factors that affect the performance of the two providers. We performed a large set of experiments that demonstrated the importance of tuning correctly the auto scaling parameters.

关键词： Monitoring Servers Cloud computing Measurement Scalability Load management Availability

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On Issues Concerning Cloud Environments in Scope of Scalable Multi-Projection Methods

On Issues Concerning Cloud Environments in Scope of Scalable...

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

作者： Byron E. Moutafis Christos K. Filelis-Papadopoulos George A. Gravvanis John P. Morrison Department of Electrical and Computer Engineering University Campus Xanthi GR Greece Department of Computer Science Irish Centre for Cloud Computing and Commerce Cork Ireland

ISBN: (纸本)9781509057085

Over the last decade, Cloud environments have gained significant attention by the scientific community, due to their flexibility in the allocation of resources and the various applications hosted in such environments. Recently, high performance computing applications are migrating to Cloud environments. Efficient methods are sought for solving very large sparse linear systems occurring in various scientific fields such as Computational Fluid Dynamics, N-Body simulations and Computational Finance. Herewith, the parallel multi-projection type methods are reviewed and discussions concerning the implementation issues for IaaS-type Cloud environments are given. Moreover, phenomena occurring due to the "noisy neighbor" problem, varying interconnection speeds as well as load imbalance are studied. Furthermore, the level of exposure of specialized hardware residing in modern CPUs through the different layers of software is also examined. Finally, numerical results concerning the applicability and effectiveness of multi-projection type methods in Cloud environments based on OpenStack are presented.

关键词： Cloud computing Hardware Linear systems Virtual machine monitors Virtual machining Noise measurement

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