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Generative Methods for Out-of-distribution Prediction and Applications for Threat Detection and Analysis: A Short Review 1st

Generative Methods for Out-of-distribution Prediction and Ap...

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1st International Workshop on Digital Sovereignty in Cyber Security: New Challenges in Future Vision, CyberSec4Europe 2022

作者： Coppolillo, Erica Liguori, Angelica Guarascio, Massimo Pisani, Francesco Sergio Manco, Giuseppe Department of Mathematics and Computer Science University of Calabria Rende Italy Department of Computer Engineering Modeling Electronics an d Systems University of Calabria Rende Italy Institute for High Performance Computing and Networking of Italian National Research Council Rende Italy

ISBN: (纸本)9783031360954

In recent times, Machine Learning has played an important role in developing novel advanced tools for threat detection and mitigation. Intrusion Detection, Misinformation, Malware, and Fraud Detection are just some examples of cybersecurity fields in which Machine Learning techniques are used to reveal the presence of malicious behaviors. However, Out-of-Distribution, i.e., the potential distribution gap between training and test set, can heavily affect the performances of the traditional Machine Learning based methods. Indeed, they could fail in identifying out-of-samples as possible threats, therefore devising robust approaches to cope with this issue is a crucial and relevant challenge to mitigate the risk of undetected attacks. Moreover, a recent emerging line proposes to use generative models to yield synthetic likely examples to feed the learning algorithms. In this work, we first survey recent Machine Learning and Deep Learning based solutions to face both the problems, i.e., outlier detection and generation;then we illustrate the main cybersecurity application scenarios in which these approaches have been adopted successfully. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： Learning systems

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Impact of sub-optimal checkpoint intervals on application efficiency in computational clusters 10

Impact of sub-optimal checkpoint intervals on application ef...

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Proceedings of the 19th ACM International Symposium on high performance Distributed computing

作者： Jones, William M. Daly, John T. DeBardeleben, Nathan Department of Computer Science Coastal Carolina University Conway SC United States Center for Exceptional Computing Department of Defense Fort Meade MD United States High Performance Computing Los Alamos National Laboratory Los Alamos NM United States

ISBN: (纸本)9781605589428

As computational clusters rapidly grow in both size and complexity, system reliability and, in particular, application resilience have become increasingly important factors to consider in maintaining efficiency and providing improved computational performance over predecessor systems. One commonly used mechanism for providing application fault tolerance in parallel systems is the use of checkpointing. By making use of a multi-cluster simulator, we study the impact of sub-optimal checkpoint intervals on overall application efficiency. By using a model of a 1926 node cluster and workload statistics from Los Alamos National laboratory to parameterize the simulator, we find that dramatically over-estimating the AMTTI has a fairly minor impact on application efficiency while potentially having a much more severe impact on user-centric performance metrics such a queueing delay. We compare and contrast these results with the trends predicted by an analytical model. Copyright 2010 ACM.

关键词： Fault tolerance

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On implementation of an enhanced and integrated parallel programming web-based toolkit

On implementation of an enhanced and integrated parallel pro...

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ITRE 2005 - 3rd International Conference on Information Technology: Research and Education

作者： Li, Kuan-Ching Yang, Chao-Tung Parallel and Distributed Processing Center Dept. of Computer Science and Information Management Providence University Shalu Taichung 43301 Taiwan High Performance Computing Laboratory Dept. of Computer Science and Information Engineering Tunghai University Taichung City Taichung 40704 Taiwan

ISBN: (纸本)0780389328

The computing power provided by high performance and low cost PC-based clusters and Grid computing platforms are attractive and they are equal or superior to supercomputers and mainframes. In parallel, discussions on how to obtain more computing power from these computing platforms become an interesting issue. The development of applications for these high-performance computing platforms is complicated for several reasons: The complexity of applications themselves, which combines aspects of supercomputing and distributed computing, and by the need to achieve higher performance. This paper describes the design rationale and implementation of a parallel programming web-based toolkit, to ease the parallel programming learning process, with the use of web-based interface. The toolkit has widely been used in MPI parallel programming courses (both in graduate and undergraduate levels) and industry trainings. © 2005 IEEE.

关键词： computer programming

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Evaluating the flexibility of dynamic loop scheduling on heterogeneous systems in the presence of fluctuating load using SimGrid

Evaluating the flexibility of dynamic loop scheduling on het...

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2013 IEEE 37th Annual computer Software and Applications Conference, COMPSAC 2013

作者： Sukhija, Nitin Banicescu, Ioana Srivastava, Srishti Ciorba, Florina M. Mississippi State University Department of Computer Science and Engineering Mississippi State MS 39762 United States Technische Universiẗat Dresden Center for Information Services and High Performance Computing 01062 Dresden Germany

ISBN: (纸本)9780769549798

Scientific applications running on heterogeneous computing systems, which often have unpredictable behavior, enhance their performance by employing loop scheduling techniques as methods to avoid load imbalance through an optimized assignment of their parallel loops. With current computing platforms facilitating petascale performance and promising exascale performance towards the end of the present decade, efficient and robust algorithms are required to guarantee optimal performance of parallel applications in the presence of unpredictable perturbations. A number of dynamic loop scheduling (DLS) methods based on probabilistic analyses have been developed to achieve the desired robust performance. In earlier work, two metrics (flexibility and resilience) have been formulated to quantify the robustness of various DLS methods in heterogeneous computing systems with uncertainties. In this work, to ensure robust performance of the scientific applications on current (petascale) and future(exascale) high performance computing systems, a simulation model was designed and integrated into the SimGrid simulation toolkit, thus enabling a comprehensive study of the robustness of the DLS methods which uses results of experimental cases with various combinations of number of processors, problem sizes, and scheduling methods. The DLS methods have been implemented into the simulation model and analyzed for the purpose of exploring their flexibility (robustness against unpredictable variations in the system load), when involved in a range of case scenarios comprised of various distributions characterizing loop iteration execution times and system availability. The simulation results reported are used to compare the robustness of the DLS methods under the various environments considered, using the flexibility metric. © 2013 IEEE.

关键词： Iterative methods

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A framework for faster porting of scientific applications between heterogeneous clouds 1st

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1st International Conference on Infrastructure, Technologies and Applications, SCITA 2017

作者： Ahmed, Waseem Khan, Mohsin Khan, Adeel Ahmed Mehmood, Rashid Algarni, Abdullah Albeshri, Aiiad Katib, Iyad Faculty of Computing and Information Technology King Abdulaziz University Jeddah Saudi Arabia Department of Computer Science and Engineering HKBK College of Engineering Visvesvaraya Technological University Bangalore India High Performance Computing Center King Abdulaziz University Jeddah Saudi Arabia

ISBN: (纸本)9783319941790

The emergence of pay-as-you-use compute clouds has enabled scientists to experiment with the latest processor architectures and accelerators. However, the lack of standardization in cloud computing, more specifically in the interoperability context, makes the task of portability of applications between clouds challenging. Two main tasks that users of multi-vendor clouds will need to perform are porting cost analysis and faster source-to-source translation. Cost analysis is essential to help evaluate the feasibility and cost of portability. And any automation of the source-to-source translation step will help developers perform the translation faster while taking advantage of platform-specific features. This paper presents a framework that assists a developer in performing these two tasks. The first task is achieved using the Maintainability Analyzer module which generates unique funnel shaped patterns that give an insight about the maintainability of an application and its potential for porting. Different scientific applications from various domains, that were developed using different programming paradigms, were evaluated using this module. For the second task, a set of modules use a knowledge repository to perform source-to-source translations while ensuring the maintainability of the generated code. The framework has been tested with different architecture and library combinations with promising results. © 2018, ICST Institute for computer sciences, Social Informatics and Telecommunications engineering.

关键词： Cost benefit analysis

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Using PVFS2 to Construct a Large File System in Data Grids

Using PVFS2 to Construct a Large File System in Data Grids

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IEEE International Conference on Parallel and Distributed computing, Applications and Technologies (PDCAT)

作者： Chao-Tung Yang Chien-Tung Pan Ping-I Chen Taiwan High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung Taiwan

Grid technology is the great progress of network after Internet, since grid enables the integrated and collaborative use of distributed computing resources owned and managed by multiple organizations, available over a local or wide area network. In this paper, we provided a data grid platform with integrated storage to solve such data grid problems by using PVFS2 to increase the data storage space. The experimental results presented show the effectiveness of such proposed combination of technologies

关键词： File systems Space technology IP networks Collaboration Distributed computing computer network management Resource management Technology management Wide area networks Memory

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An efficient technique for optimization of the Concentric Array Radial Line Slot Antenna (CA-RLSA)

An efficient technique for optimization of the Concentric Ar...

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2005 IEEE Antennas and Propagation Society International Symposium and USNC/URSI Meeting

作者： Feng, Zhuo Li, Le-Wei Li, Er-Ping Yeo, Tat Soon Department of Electrical and Computer Engineering National University of Singapore Kent Ridge 119260 Singapore Computational Electronics and Electromagnetics Division Institute of High Performance Computing Science Park II Singapore 117528 Singapore

ISBN: (纸本)0780388836

In this paper, an efficient technique is proposed to optimize the geometie and arrangements of the slots of the CARLSAs. Moment method in carried out to obtain the unknown excitation coefficients after spliting the slot pairs into several identical sectors. The slot lengths and positions are then optimized to achieve the uniform amplitude and phase over the aperture. The computation of the admittance matrix is reduced a lot while the unknowns of the slot excitation coefficients are also minimized. © 2005 IEEE.

关键词： Antenna arrays

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The anatomy of a course in cluster and grid computing

The anatomy of a course in cluster and grid computing

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ITRE 2005 - 3rd International Conference on Information Technology: Research and Education

作者： Yang, Chao-Tung Li, Kuan-Ching High Performance Computing Laboratory Dept. of Computer Science and Information Engineering Tunghai University Taichung City Taichung 40704 Taiwan Parallel and Distributed Processing Center Dept. of Computer Science and Information Management Providence University Shalu Taichung 43301 Taiwan

ISBN: (纸本)0780389328

Cluster and grid computing is a relatively new interdisciplinary field, where computer science, engineering and computational biology as its core supporting disciplines. The rise of cluster and grid computing discipline brings to computer science faculty members new opportunities and challenges, both in education and in research. In this paper, we will explore issues in teaching Cluster and Grid computing, the developing of curricula, and thoughts to foster student to work on research projects in Cluster and Grid computing. © 2005 IEEE.

关键词： Education

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A travel distance power consumption model for battery electric vehicles

A travel distance power consumption model for battery electr...

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2nd International Conference on Advances in Energy and Environmental science, ICAEES 2014

作者： Tseng, Chia-Wei Yang, Yao-Tsung Chou, Li-Der Broadband Network Laboratory Chunghwa Telecom Laboratories Taoyuan Taiwan Dept. of Computer Science and Information Engineering National Central University Taoyuan Taiwan National Center fo High-performance Computing Hsinchu Taiwan

ISBN: (纸本)9783038352082

Electric Vehicles (EVs) are becoming increasingly popular in recent years. Battery Electric Vehicles (BEVs) are a type of EVs use stored energy more efficiently than typical internal combustion engine powered counterparts. A key challenge of BEV is the limited battery energy. In order to relieve electric vehicle range anxiety for BEV owners and achieve an optimal battery sizing for BEV, a travel distance power consumption model has been created to model the travel behavior of BEV in the fleet. The model provides an efficient way of estimating the power requirements of electric vehicles reach the destination. © (2014) Trans Tech Publications, Switzerland.

关键词： Electric power utilization

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Imprecise Neural Computation in Real-Time Neural System Design

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IFAC Proceedings Volumes 1998年第14期31卷 123-128页

作者： John Sum Gilbert H. Young Wing-kay Kan High Performance Computing Laboratory Department of Computer Science and Engineering Chinese University of Hong Kong Shatin N. T. Hong Kong

In order to solve real-time control problems, a good software design together with an appropriate control scheme and a system identification method are extremely importance. To facilitate the software design to cope with such a time critical system, the concept of imprecise and approximate computation has been imposed and applied in real-time scheduling problems for more than a decade. Applying neural network to solve real-time problem is always a problem to neural network practitioners. In this paper, a principle for neural computation and real-time system 一 imprecise neural computation 一 will be presented. This principle extends the idea of imprecise computation in real-time systems by introducing concepts like mandatory neural structure and imprecise pruning. Using such concepts, it is able to design and analyze a real-time neural system for different real-time applications.

关键词： Imprecise computation Model complexity Neural computation Pruning Real-time systems Training

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