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Performance Prediction of distributed Applications Using Block Benchmarking Methods

Performance Prediction of Distributed Applications Using Blo...

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Euromicro conference on parallel, distributed and Network-Based Processing

作者： Bogdan Florin Cornea Julien Bourgeois LIFC University of Franche-Comté Montbeliard France

An ongoing work is presented for accurately predicting the performance of distributed applications in heterogeneous systems. We are developing dPerf, a tool built using the Rose framework for performing static analysis and an automatic instrumentation on the input source code of programs written in C, C++ or Fortran. the accuracy in predicting program computation time resides in using hardware counters, as well as in applying two block benchmarking techniques that we propose in this paper. the current work makes use of a network simulator in order to calculate the communication time used in our approach. Afterwards, the computation and communication times are being summed up obtaining an estimation of the distributed application execution time. the approach is proven experimentally using NAS Integer Sort benchmark, the communications being simulated with SimGrid.

关键词： Benchmark testing Instruments Radiation detectors Computational modeling Program processors Hardware Analytical models

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Cloud and network facilities federation in BonFIRE

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19th international conference on parallel Processing Workshops, Euro-Par 2013 - BigDataCloud, DIHC, FedICI, HeteroPar, HiBB, LSDVE, MHPC, OMHI, PADABS, PROPER, Resilience, ROME, and UCHPC 2013

作者： García-Pérez, David Lorenzo Del Castillo, Juan Ángel Al-Hazmi, Yahya Martrat, Josep Kavoussanakis, Konstantinos Hume, Alastair C. López, Celia Velayos Landi, Giada Wauters, Tim Gienger, Michael Margery, David Atos Research and Innovation Group Barcelona Spain Hewlett-Packard Laboratories Bristol United Kingdom Next Generation Networks Technical University Berlin Berlin Germany EPCC University of Edinburgh King's Buildings Edinburgh United Kingdom Distributed Applications and Networks Area I2CAT Foundation Barcelona Spain Nextworks S.r.l. Pisa Italy Department of Information Technology Ghent University IMinds Ghent Belgium Stuttgart Germany INRIA Rennes - Bretagne Atlantique Research Center Rennes France

ISBN: (纸本)9783642544194

In recent years we have seen how Cloud computing is changing the way of doing businesses and how services are delivered over the Internet. this disruption is a major challenge for Service Providers and Independent Software Vendors when creating new services and software applications for the Cloud. BonFIRE offers a federated, multi-site cloud testbed to support large-scale testing of applications, services and systems. this is achieved by federating geographically distributed, heterogeneous clouds testbeds where each exposes unique configuration and/or features while giving to the experimenters (users) an homogeneous way to interact with the facility. All those testbeds are controlled by a central set of services commonly denominated "Broker". Additionally, BonFIRE is federated with different network facilities like the Virtual Wall, FEDERICA and AutoBAHN to provide high-level interfaces to network control functionality, in order to simulate diverse network QoS scenarios, enabling vertical federation. © 2014 Springer-Verlag Berlin Heidelberg.

关键词： Testbeds

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On Designing Multicore-Aware Simulators for Biological systems

On Designing Multicore-Aware Simulators for Biological Syste...

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Euromicro conference on parallel, distributed and Network-Based Processing

作者： Marco Aldinucci Mario Coppo Ferruccio Damiani Maurizio Drocco Massimo Torquati Angelo Troina Computer Science Department University of Torino Italy Computer Science Department University of Pisa Italy

the stochastic simulation of biological systems is an increasingly popular technique in bioinformatics. It often is an enlightening technique, which may however result in being computational expensive. We discuss the main opportunities to speed it up on multi-core platforms, which pose new challenges for parallelisation techniques. these opportunities are developed in two general families of solutions involving both the single simulation and a bulk of independent simulations (either replicas of derived from parameter sweep). Proposed solutions are tested on the parallelisation of the CWC simulator (Calculus of Wrapped Compartments) that is carried out according to proposed solutions by way of the Fast Flow programming framework making possible fast development and efficient execution on multi-cores.

关键词： Computational modeling parallel processing Biological system modeling Stochastic processes parallel programming Data models

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distributed Data Register Technology as the Main Component of Economic Decentralization 7th

Distributed Data Register Technology as the Main Component o...

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7th international conference on computing in Engineering and Technology, ICCET 2022

作者： Shvachych, Gennady Moroz, Boris Khylko, Maksym Perepolkina, Olena Busygin, Volodymyr Ukrainian State University of Science and Technology Dnipro Ukraine Dnipro University of Technology Dnipro Ukraine National Academy of Science of Ukraine Kyiv Ukraine Lviv University of Trade and Economics Lviv Ukraine Higher School of Insurance and Finance VUZF University Sofia Bulgaria

ISBN: (纸本)9789811927188

the paper shows that the widespread use of advanced information and communication technologies presupposes the transition of different industries and economies to the digital area, directly reflected in management methods at the macro and commercial entities, making the transition to a decentralized management system. In this regard, the paper illustrates that the digital economy reveals new opportunities. However, the proposed approach to the study allowed noting that the digital economy has several subtleties associated with insufficient knowledge, its flexibility, and various problems of technical implementation. the research’s main task is to reveal the features and principles of the formation of one of the significant components of the digital economy, the distributed ledger technology (blockchain). As a decentralized data registry, the paper notes that blockchain technology is today the most relevant and discussed topic of digital economy development. the technology strengths are analyzed: cost reduction, high-security level, and transaction transparency. the main mechanisms of contradictions, implementation, and application of blockchain technology are highlighted in detail. Finally, the author’s approach to eliminating the identified contradictions is provided. the studies in this paper demonstrate that one of the main problems is the features of the modeling process, both machine and mathematical. For instance, this technology requires powerful computing equipment and high-performance ones for servicing and solving security problems. It is noted that the most promising approach to increase the speed and productivity of computing facilities is parallel computing. distributed modeling allows processing the problems which solution demands huge processing time to study complex mathematical models. © 2022, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Blockchain

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Supercomputer-Based Simulation of the Hydrodynamics of River Mouth Areas 15th

Supercomputer-Based Simulation of the Hydrodynamics of River...

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15th international Scientific conference on parallel Computational Technologies (PCT)

作者： Sukhinov, Alexander, I Chistyakov, Alexander E. Nikitina, Alla, V Kuznetsova, Inna Yu Atayan, Asya M. Protsenko, Elena A. Litvinov, Vladimir N. Don State Tech Univ Rostov Na Donu Russia Southern Fed Univ Rostov Na Donu Russia Supercomp & Neurocomp Res Ctr Taganrog Russia AP Chekhov Univ Taganrog Taganrog Russia Don State Agr Univ Azov Black Sea Engn Inst Zernograd Russia

ISBN: (纸本)9783030816919;9783030816902

the article is devoted to the development and numerical implementation of a 3D hydrodynamic mathematical model intended for computing the movement velocity of the aquatic environment in river mouth areas. the equations in the hydrodynamic model of a shallow reservoir are approximated using the balance method and taking into account the fullness of control areas. this approach makes it possible to take into account the complex geometry of the coastline and the bottom and significantly increase the accuracy of computations. the numerical methods and algorithms we have developed are the basis of the software package that we tested on a supercomputer cluster using MPI technology. the package can simulate hydrodynamic processes that take place in shallow-water bodies. It is designed for computing systems with distributed memory. To test the functionality of the software package, we use the mathematical model to compute the rise in the water level of a river and its course in the mouth area. the geometry of the computational area is given in the form of a depth map. the computations for a rectangular grid with 1000 x 1000 x 60 nodes on 24 processors yield an acceleration by more than a factor of 15.

关键词： Mathematical modeling 3D models Hydrodynamics River mouth area Splitting schemes for physical processes parallel algorithms

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Federated Semi-supervised Medical Image Segmentation Based on Asynchronous Transmission 1

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19th international conference on Advanced Intelligent computing Technology and Applications (ICIC)

作者： Liu, Fangbo Yang, Feng Guangxi Univ Sch Comp & Elect & Informat Nanning 530004 Guangxi Peoples R China Guangxi Univ Guangxi Key Lab Multimedia Commun Network Technol Nanning 530004 Guangxi Peoples R China Guangxi Univ Key Lab Parallel Distributed & Intelligent Comp Educ Dept Guangxi Zhuang Autonomous Reg Nanning Guangxi Peoples R China

ISBN: (数字)9789819947492

ISBN: (纸本)9789819947485;9789819947492

Most existing medical image segmentation methods under federated learning use labeled data for training. But in practice, high-quality labeled data is scarce. Due to the specialized nature of medical images, manual labeling will waste a lot of manpower and resources. In addition, due to the private nature of medical images, datasets cannot be shared between institutions. therefore, this paper proposes a semi-supervised medical image segmentation method based on asynchronous federated learning, which purposes to learn a federated model using a small amount of labelled data and a large amount of unlabeled data. First, to generate better pseudo-labels for locally unlabeled data, we set the local as the teacher model and the global as the student model to learn data information in the multi-agency. then, the global student model is used to guide the generation of the local teacher model and the consistency regularization is performed. In addition, we use the student model to maintain the stability of the global model. Finally, we propose an asynchronous federated algorithm and local iterator mechanism to address the high load and latency problems on the central server caused by differences between client devices in synchronous transmission. Our experiments on two medical image segmentation tasks demonstrate that the method effectively validates the feasibility of federated semi-supervised segmentation and significantly improves model segmentation performance and communication efficiency.

关键词： Federated learning Medical image segmentation Pseudo-label Asynchronous Iterator

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Medical Image Segmentation Based on Federated Distillation Optimization Learning on Non-IID Data 1

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19th international conference on Advanced Intelligent computing Technology and Applications (ICIC)

ISBN: (数字)9789819947492

ISBN: (纸本)9789819947485;9789819947492

Federated learning promises to alleviate this problem of low labelled data in medical image segmentation while protecting the privacy and security of the data. However, medical image segmentation under federated learning also has many problems, such as how to achieve high-precision segmentation using federated models in the presence of data imbalance, whether the communication efficiency in the federated process can be effectively improved, and how to effectively solve the model gradient explosion in federated distillation. Based on the above difficulties, this paper proposes a new optimization algorithm for federated distillation. First, we design a small-scale network model in the communication between the client and the central server to reduce the communication overhead;then, we design a distillation method to keep the local model stable. Finally, we add a coordinator for the central server before aggregation and introduce a model filtering mechanism to effectively filter and evaluate the client model parameters and weights to keep the global model optimization, while preventing the gradient explosion problem under malicious or extreme models and improving the accuracy of target domain segmentation. We conducted experiments on two medical image segmentation tasks and demonstrated that our approach achieves effective results on non-IID data, where the average DICE coefficient can reach 82.79% while the communication overhead is reduced by a factor of 16.

关键词： Federated learning Distillation algorithm Coordinator Medical image segmentation

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Campaign scheduling

Campaign scheduling

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international conference on High Performance computing

作者： Vinicius Pinheiro Krzysztof Rzadca Denis Trystram Laboratory for Parallel and Distributed Computing University of São Paulo Brazil Institute of Informatics University of Warsaw Poland Institut Universitaire de France France

We study the problem of scheduling in parallel systems with many users. We analyze scenarios with many submissions issued over time by several users. these submissions contain one or more jobs; the set of submissions are organized in successive campaigns. Jobs belonging to a single campaign are sequential and independent, but any job from a campaign cannot start until all the jobs from the previous campaign are completed. Each user's goal is to minimize the sum of flow times of his campaigns. We define a theoretical model for Campaign scheduling and show that, in the general case, it is NP-hard. For the single-user case, we show that an ρ-approximation scheduling algorithm for the (classic) parallel job scheduling problem is also an ρ-approximation for the Campaign scheduling problem. For the general case with k users, we establish a fairness criterion inspired by time sharing. We propose FAIRCAMP, a scheduling algorithm which uses campaign deadlines to achieve fairness among users between consecutive campaigns. We prove that FAIRCAMP increases the flow time of each user by a factor of at most k ρ compared with a machine dedicated to the user. We also prove that FAIRCAMP is a ρ-approximation algorithm for the maximum stretch. By simulation, we compare FAIRCAMP to the First-Come-First-Served (FCFS). We show that, compared with FCFS, FAIRCAMP reduces the maximum stretch by up to 3.4 times. the difference is significant in systems used by many (k > 5) users. Our results show that, rather than just individual, independent jobs, campaigns of jobs can be handled by the scheduler efficiently and fairly.

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.NET core technology in scientific tasks 8

.NET core technology in scientific tasks

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Selected Papers of the 8th international conference "distributed computing and Grid-Technologies in Science and Education", GRID 2018

作者： Dorokhin, V.A. Dubna State University 19 Universitetskaya St. Dubna141982 Russia

Today we have an established stack of tools to develop applications, systems and services for scientific purposes. However, not so long ago a new technology, called .NET Core appeared. It's supervised by Microsoft, but its open-source and developed by a wide community of programmers and engineers. that technology has a lot of advantages like high performance, simple and productive parallel programming abilities, support of high-level programming languages (C# 7.0, F#) and so on But the main advantage in comparison with its predecessors is cross-platform abilities. Once written code can be natively compiled on a large number of platforms and hardware systems. It can be used on Windows, Linux, Mac and all Unix-based operation systems. It supports different hardware components and processors, for example, it can be used on ARM processors. the technology supports containerization and can be used with Docker or Kubernetes. It gives an ability to develop applications with micro-service architecture out of the box and provides convenient deployment tools. Now, in a set of tasks .NET Core surpasses currently used tools in scientific sphere tools like Python, Go, Ruby, Java, *** and others. Also, it can be used to develop native desktop applications with HTML-based GUI for administration and monitoring purposes. © 2018 Victor A. Dorokhin.

关键词： parallel programming

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Analysis of a distributed election algorithm using COVERS 3.0 — A case study 4th

Analysis of a distributed election algorithm using COVERS 3....

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4th international conference on parallel computing Technologies, PaCT 1997

作者： Borshchev, Andrei V. Karpov, Yuri G. Roudakov, Victor V. Filippov, Alexei Sintotskij, Alexei Fedorenko, Sergei St.Petersburg Technical University Russia

ISBN: (纸本)3540633715

We present a case study which demonstrates a methodology of using modeling language and simulation environment for reactive system design and analysis. We describe how a distributed algorithm can be modeled and investigated on the base of a compact set of carefully selected concepts and methods offered by COVERS — an MS Windows-based object-oriented modeling and simulation tool. COVERS modeling language framework includes diagrams of object structure and interconnection, statecharts as a behavior description, and C++ for data objects and functions. Timed Transition systems are used as a semantic model. COVERS enables the user to perform the whole modeling-simulation-analysis cycle within a single graphical environment. In the paper we overview our experience in using the tool for analysis of a distributed election algorithm which has been described elsewhere. © Springer-Verlag Berlin Heidelberg 1997.

关键词： Modeling languages

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