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检索条件"任意字段=12th Euromicro Conference on Parallel, Distributed and Network-Based Processing"

共 1250 条记录，以下是261-270 订阅

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Combining parallel Genetic Algorithms and Machine Learning to improve the research of optimal vaccination protocols 26

Combining Parallel Genetic Algorithms and Machine Learning t...

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26th euromicro International conference on parallel, distributed, and network-based processing (PDP)

作者： Pennisi, Marzio Russo, Giulia Pappalardo, Francesco Univ Catania Dept Math & Comp Sci Catania Italy Univ Catania Dept Biomed Sci Catania Italy Univ Catania Dept Drug Sci Catania Italy

ISBN: (纸本)9781538649756

the developing of novel prophylactic and therapeutic vaccine candidates in the field of cancer immunology brought to very promising results against tumors, entitling full protection with reduced amount of the typical side effects of the actual conventional treatments. However, such treatments required a constant, life-long, administration procedure to keep protection. As both the period of protection and the relative number of administrations grow, the problem of finding the best administration protocol, in time and dosage, becomes more and more complex. Such a problem cannot be usually solved in in vivo experiments, as the costs in terms of time, money, and people would be prohibitive. We propose a hybrid approach that integrates machine learning and parallel genetic algorithms to enhance the research in silico of optimal administration protocols for a cancer vaccine. A neural network is used to improve both crossover and mutation operators. Preliminary results suggest that the use of such could bring to better administration protocols using a similar computational effort.

关键词： Genetic algorithms machine learning neural networks agent based models optimal vaccine protocol cancer

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distributed Heuristics for Optimizing Cohesive Groups: A Support for Clinical Patient Engagement in Social network Analysis 26

Distributed Heuristics for Optimizing Cohesive Groups: A Sup...

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26th euromicro International conference on parallel, distributed, and network-based processing (PDP)

作者： Zoppis, Italo Dondi, Riccardo Coppetti, Davide Beltramo, Alessandro Mauri, Giancarlo Univ Milano Bicocca Dept Comp Sci Milan Italy Univ Bergamo Dept Letters Philosophy & Commun Studies Bergamo Italy ITC B Belotti Bergamo Italy

ISBN: (纸本)9781538649756

Social interaction allows to support the disease management by creating online spaces where patients can interact with clinicians, and share experiences with other patients. therefore, promoting targeted communication in online social spaces is a means to group patients around shared goals, offer emotional support, and finally engage patients in their healthcare decision-making process. In this paper, we approach the argument from a theoretical perspective: we design an optimization problem aimed to encourage the creation of (induced) sub-networks of patients which, being recently diagnosed, wish to deepen the knowledge about their medical treatment with some other similar profiled patients, which have already been followed up by specific (even alternative) care centers. In particular, due to the computational hardness of the proposed problem, we provide approximated solutions based on distributed heuristics (i.e., Genetic Algorithms). Results are given for simulated data using Erdos-Renyi random graphs.

关键词： Social network distributed Heuristic Genetic Algorithm Dense Communities 2-club optimization problem

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Closed-form Solutions for Dense Matrix-Matrix Multiplication on Heterogeneous Platforms using Divisible Load Analysis 26

Closed-form Solutions for Dense Matrix-Matrix Multiplication...

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26th euromicro International conference on parallel, distributed, and network-based processing (PDP)

作者： Barlas, Gerssimos El Hiny, Lamees Amer Univ Sharjah Comp Sci & Engn Dept Coll Engn Sharjah U Arab Emirates

ISBN: (纸本)9781538649756

In this paper we analytically solve the partitioning problem for performing matrix multiplication on a cluster of heterogeneous multicore machines, equipped with an accelerator, typically a GPU. We derive closed-form solutions that not only solve the problem in an exact manner, but they also allow for predictive analysis that can guide system design. Our work allows an optimum partitioning to be calculated in linear time with respect to the number of cores in the system. the static partitioning afforded by our Divisible Load theory (DLT) based analysis, minimizes communication overhead and improves efficiency. Our work leverages existing optimized Dense Linear Algebra (DLA) libraries, such as cuBLAS and BLAS, which translates to an easy deployment that can readily exploit state-of-the-art tools. A comparison study concludes the paper, highlighting the beneficial effect of our partitioning approach.

关键词： GPU computing dense linear algebra heterogeneous parallel computing hybrid numerical computation divisible load theory

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Enabling Dynamic and Efficient Data Access Control in Cloud Computing based on Attribute Certificate Management and CP-ABE 26

Enabling Dynamic and Efficient Data Access Control in Cloud ...

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26th euromicro International conference on parallel, distributed, and network-based processing (PDP)

作者： Fugkeaw, Somchart Sato, Hiroyuki Thai Digital ID Co Ltd Bangkok Thailand Univ Tokyo Dept Elect Engn & Informat Syst Tokyo Japan

ISBN: (纸本)9781538649756

In this paper, we propose an access control model featured with the efficient key update function in data outsourcing environment. Our access control is based on the combination of Ciphertext Policy Attribute-based Encryption (CP-ABE) and Role-based Access Control (RBAC). the proposed scheme aims to improve the attribute and key update management of the original CP-ABE. In our scheme, a user's key is incorporated into the attribute certificate (AC) which will be used to decrypt the ciphertext encrypted with CP-ABE policy. If there is any change (update or revoke) of the attributes appearing in the key, the key in the AC will be updated upon the access request. this significantly reduces the overheads in updating and distributing keys of all users simultaneously compared to the existing CP-ABE based schemes. Finally, we conduct the experiment to evaluate the performance of our proposed scheme to show the efficiency of our proposed scheme.

关键词： access control attribute certificate CP-ABE key update performance

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Structured Grid-based parallel Simulation of a Simple DEM Model on Heterogeneous Systems 26

Structured Grid-based Parallel Simulation of a Simple DEM Mo...

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26th euromicro International conference on parallel, distributed, and network-based processing (PDP)

作者： De Rango, Alessio Napoli, Pietro D'Ambrosio, Donato Spataro, William Di Renzo, Alberto Di Maio, Francesco Univ Calabria Dept Math & Comp Sci Arcavacata Di Rende Italy Univ Calabria Dept Envir & Chem Engn Arcavacata Di Rende Italy

ISBN: (纸本)9781538649756

Here we present different preliminary parallel grid-based implementations of a simple particle system with the purpose to evaluate its performances on multi-and many-core computational devices. the system is modeled by means of the Discrete Element Method and the Extended Cellular Automata formalism, while OpenMP and OpenCL are used for parallelization. In particular, both the 3.1 and 4.5 OpenMP specifications have been considered, the latter also able to run on many-core computational devices like GPUs. the results of a first test simulation performed by considering a cubic domain with about 316,000 particles have shown a clear advantage of OpenCL on the considered Tesla K40 Nvidia GPU, while the OpenMP 3.1 implementation has performed better than the corresponding OpenMP 4.5 on the considered Intel Xeon E5-2650 16-thread CPU.

关键词： Discrete Element Method Cellular Automata OpenMP OpenCL Heterogeneous Computing

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Solving sparse triangular linear systems in modern GPUs: a Synchronization-Free algorithm 26

Solving sparse triangular linear systems in modern GPUs: a S...

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26th euromicro International conference on parallel, distributed, and network-based processing (PDP)

作者： Dufrechou, Ernesto Ezzatti, Pablo Univ Republica Inst Computac Montevideo Uruguay

ISBN: (纸本)9781538649756

Sparse triangular linear systems are ubiquitous in a wide range of science and engineering fields, and represent one of the most important building blocks of Sparse Numerical Lineal Algebra methods. For this reason, their parallel solution has been subject of exhaustive study, and efficient implementations of this kernel can be found for almost every hardware platform. However, the strong data dependencies that serialize a great deal of the execution and the load imbalance inherent to the triangular structure poses serious difficulties for its parallel performance, specially in the context of massively-parallel processors such as GPUs. To this day, the most widespread GPU implementation of this kernel is the one distributed in NVIDIA CUSPARSE library, which relies on a preprocessing stage to determine the parallel execution schedule. Although the solution phase is highly efficient, this strategy pays the cost of constant synchronizations with the CPU. In this work, we present a synchronization-free GPU algorithm to solve sparse triangular linear systems for the CSR format. the experimental evaluation shows performance improvements over CUSPARSE and a recently proposed synchronization-free method for the CSC matrix format.

关键词： Sparse triangular linear systems synchronization-free methods graphics processors (GPUs)

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the multi-layer graph based technique for proactive automatic response against cyber attacks 26

The multi-layer graph based technique for proactive automati...

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26th euromicro International conference on parallel, distributed, and network-based processing (PDP)

作者： Doynikova, Elena Kotenko, Igor Russian Acad Sci SPIIRAS St Petersburg Inst Informat & Automat Lab Comp Secur Problems St Petersburg Russia ITMO Univ Int Lab Cyber Phys Secur St Petersburg Natl Res Univ Informat Technol Mech St Petersburg Russia

ISBN: (纸本)9781538649756

the paper evolves an approach for proactive automatic cyber security incident response. the approach is based on usage of data from open sources, analytical modeling and a hierarchical integrated set of heterogeneous security metrics. the paper outlines the features of the analytical models that are crucial for countermeasure selection. It determines a set of security metrics for countermeasure selection. the algorithms that implement the suggested multi layer countermeasure selection technique are specified. Introduction of the layers allows getting the result at any time with the maximum accuracy depending on the available data. the experiments that demonstrate the efficiency of the suggested technique are outlined.

关键词： response against cyber attacks countermeasures security metrics attack graph service dependency graph security incidents

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An Improved One-to-All Broadcasting in Higher Dimensional Eisenstein-Jacobi networks 26

An Improved One-to-All Broadcasting in Higher Dimensional Ei...

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26th euromicro International conference on parallel, distributed, and network-based processing (PDP)

作者： Hussain, Zaid Kuwait Univ Dept Comp Sci Kuwait Kuwait

ISBN: (纸本)9781538649756

Recently, a higher dimensional Eisenstein-Jacobi (EJ) networks, EJ(alpha)((n)), has been proposed in [22], which is shown that they have better average distance with more number of nodes than a single dimensional EJ networks. Some communication algorithms such as one-to-all and all-to-all communications are well known and used in interconnection networks. In one-to-all communication, a source node sends a message to every other node in the network. Whereas, in all-to-all communication, every node is considered as a source node and sends its message to every other node in the network. In this paper, an improved one-to-all communication algorithm in EJ(alpha)((n)) networks is presented. the paper shows that the proposed algorithm achieves a lower average number of steps to receiving the broadcasted message. In addition, since the links are assumed to be half-duplex, the all-to-all broadcasting algorithm is divided into three phases. the simulation results are discussed and showed that the improved one-to-all algorithm achieves better traffic performance than the well-known one-to-all algorithm and has 2.7% less total number of senders.

关键词： parallel Computing Interconnection network Eisenstein-Jacobi network Broadcast Traffic Distribution One-to-All All-to-All

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Evaluation Of Time-Triggered Traffic In Time-Sensitive networks Using the OPNET Simulation Framework 26

Evaluation Of Time-Triggered Traffic In Time-Sensitive Netwo...

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26th euromicro International conference on parallel, distributed, and network-based processing (PDP)

作者： Pahlevan, Maryam Obermaisser, Roman Univ Siegen Siegen Germany

ISBN: (纸本)9781538649756

Highly reliable, scalable and deployable networks with strict temporal constraints are inevitable for future cyber physical systems. Due to widespread usage and success of Ethernet technologies, the Time Sensitive networking task group introduces a series of protocol extensions to the IEEE 802.1 Ethernet standard. these standards provide real time capabilities and performance improvements. Simulation environments are intensively used to investigate correctness and applicability of new protocol suites. this paper presents an OPNET simulation framework for simulating TSN time-based features. Our framework implements ingress time-based policing and enhancements for scheduled traffic as an extensions of the Ethernet standard. We describe the implementation details of our simulation models which provide temporal properties. We also evaluate and compare our results with the expected behaviors of the aforementioned protocols.

关键词： Temporal Constraints Cyber Physical Systems Time Sensitive networking OPNET Simulation Models

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Reducing Message Latency and CPU Utilization in the CAF Actor Framework 26

Reducing Message Latency and CPU Utilization in the CAF Acto...

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26th euromicro International conference on parallel, distributed, and network-based processing (PDP)

作者： Torquati, Massimo Menga, Tullio De Matteis, Tiziano De Sensi, Daniele Mencagli, Gabriele Univ Pisa Dept Comp Sci Largo B Pontecorvo 3 I-56127 Pisa Italy ATS Adv Technol Solut SpA Via Montefeltro 6 I-20156 Milan Italy

ISBN: (纸本)9781538649756

In this work, we consider the C++ Actor Framework (CAF), a recent proposal that revamped the interest in building concurrent and distributed applications using the actor programming model in C++. CAF has been optimized for high-throughput computing, whereas message latency between actors is greatly influenced by the message data rate: at low and moderate rates the latency is higher than at high data rates. To this end, we propose a modification of the polling strategies in the work-stealing CAF scheduler, which can reduce message latency at low and moderate data rates up to two orders of magnitude without compromising the overall throughput and message latency at maximum pressure. the technique proposed uses a lightweight event notification protocol that is general enough to be used used to optimize the runtime of other frameworks experiencing similar issues.

关键词： Actor model CAF multi-cores message latency work-stealing polling strategies

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