We have focused on two major research directions that leverage approximation to provide cross-stack solutions for (1) accelerating computation and (2) addressing the bottlenecks of data communication and storage.
We have focused on two major research directions that leverage approximation to provide cross-stack solutions for (1) accelerating computation and (2) addressing the bottlenecks of data communication and storage.
We present a framework based on constraint satisfaction that adds self-integration capabilities to component-based embeddedsystems by identifying correct compositions of the desired components and their dependencies....
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We present a framework based on constraint satisfaction that adds self-integration capabilities to component-based embeddedsystems by identifying correct compositions of the desired components and their dependencies. This not only allows autonomous integration of additional functionality but can also be extended to ensure that the new configuration does not violate any extra-functional requirements, such as safety or security, imposed by the application domain.
embeddedsystems which are used for monitoring and controlling safety and mission critical systems cannot be shut down for want of making changes to the ES software for the reasons of updating, adding and deleting tas...
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ISBN:
(纸本)9781467383240
embeddedsystems which are used for monitoring and controlling safety and mission critical systems cannot be shut down for want of making changes to the ES software for the reasons of updating, adding and deleting tasks. ES software must evolve dynamically while the software is up and running due to the criticality reasons. Many architectures have been presented related to loaded systems and few related to embeddedsystems for effecting semantic evolution of the embedded software. Dynamic evolution of embedded software is quite complicated due to the availability of fewer resources and especially when the evolution has to be carried under the influence of a real time operating system (RTOS). In this paper the implementation of dynamic semantic evolution of embedded software which runs under an RTOS has been presented.
The proceedings contain 25 papers. The special focus in this conference is on ATSE 2015 and HOFM 2015. The topics include: Learning-based testing of distributed microservice architectures;the synergy between user expe...
ISBN:
(纸本)9783662492239
The proceedings contain 25 papers. The special focus in this conference is on ATSE 2015 and HOFM 2015. The topics include: Learning-based testing of distributed microservice architectures;the synergy between user experience design and software testing;combining time and concurrency in model-based statistical testing of embedded real-time systems;towards supporting agile combinatorial test design;behavioral types for component-based development of cyber-physical systems;refactoring proofs with tactician;exploring the role of logic and formal methods in information systems education;type-based enforcement of programming guidelines;clustering formulation using constraint optimization;towards a boosted route planner using individual mobility models;design of a business-to-government information sharing architecture using business rules;beyond the domain of business process management;on integrating social and sensor networks for emergency management;quantitative modelling of residential smart grids;attributed probabilistic p systems and their application to the modelling of social interactions in primates;probabilistic modelling and analysis of a fish population;a tool for the modelling and simulation of ecological systems based on grid systems;distributed coordinated adaptation of cloud-based applications;fuzzy description logics for component selection in software design;towards adapting choreography-based service compositions through enterprise integration patterns;an experimental evaluation on runtime verification of self-adaptive systems in the presence of uncertain transition probabilities;towards automatic decision support for bike-sharing system design and automated synthesis of protocol converters with BALM-II.
The proceedings contain 49 papers. The special focus in this conference is on Multilevel Methods on Graphs, Mathematical modeling and Analysis of PDEs Describing Physical Problems. The topics include: Preconditioners ...
ISBN:
(纸本)9783319265193
The proceedings contain 49 papers. The special focus in this conference is on Multilevel Methods on Graphs, Mathematical modeling and Analysis of PDEs Describing Physical Problems. The topics include: Preconditioners for mixed FEM solution of stationary and nonstationary porous media flow problems;fast constrained image segmentation using optimal spanning trees;on computersimulation of fluid-porous structure interaction problems for a class of filtration problems;spin-based CMOS-compatible devices;shortest-path queries in planar graphs on GPU-accelerated architectures;a numerical approach to price path dependent asian options;operator-difference scheme with a factorized operator;computational identification of the right hand side of the parabolic equations in problems of filtration;algebraic multigrid based preconditioners for fluid-structure interaction and its related sub-problems;functional differential model of an anaerobic biodegradation process;time-optimal control problem in the space of probability measures;sufficient conditions for small time local attainability for a class of control systems;financing the reduction of emissions from deforestation;relaxation of euler-type discrete-time control system;uncertainty quantification for porous media flow using multilevel monte carlo;on the preconditioned quasi-monte carlo algorithm for matrix computations;energy performance evaluation of quasi-monte carlo algorithms on hybrid HPC;towards RBF interpolation on heterogeneous HPC systems;on the relation between matrices and the greatest common divisor of polynomials;distributed evolutionary computing migration strategy by incident node participation;slot machine RTP optimization and symbols wins equalization with discrete differential evolution and application of ants ideas on image edge detection.
Macro-scale simulation has been advanced as one tool for application -- architecture co-design to express operation of exascale systems. These simulations approximate the behavior of system components, trading off acc...
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Macro-scale simulation has been advanced as one tool for application -- architecture co-design to express operation of exascale systems. These simulations approximate the behavior of system components, trading off accuracy for increased evaluation speed. Application skeletons serve as the vehicle for these simulations, but they require accurately capturing the execution behavior of computation. The complexity of application codes, the heterogeneity of the platforms, and the increasing importance of simulating multiple performance metrics (e.g., execution time, energy) require new modeling techniques. We propose flexible statistical models to increase the fidelity of application simulation at scale. We present performance model validation for several exascale mini-applications that leverage a variety of parallel programming frameworks targeting heterogeneous architectures for both time and energy performance metrics. When paired with these statistical models, application skeletons were simulated on average 12.5 times faster than the original application incurring only 6.08% error, which is 12.5% faster and 33.7% more accurate than baseline models.
The rapid development of Intelligent Transport systems has created new objectives and requirements for traffic simulation models. The development of visualization, procedural modeling, decision support requirements me...
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The rapid development of Intelligent Transport systems has created new objectives and requirements for traffic simulation models. The development of visualization, procedural modeling, decision support requirements mean that simulation models need to satisfy different requirements. The chapter presents methods and tools to create distribute, integrated and interactive transport simulations, to enable the holistic exploration of complex transport systems, to test different strategies for monitoring and control and for training personnel. The integrated simulation is built leveraging gaming technologies, integrating commercial or off-the-shelf simulations using methods from distributed simulation and procedural modeling techniques.
Cyber-Physical systems (CPS) are in most cases safety- and mission-critical. Standard design techniques used for securing embeddedsystems are not suitable for CPS due to the restricted computation and communication b...
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ISBN:
(纸本)9781467383219
Cyber-Physical systems (CPS) are in most cases safety- and mission-critical. Standard design techniques used for securing embeddedsystems are not suitable for CPS due to the restricted computation and communication budget available in the latter. In addition, the sensitivity of sensed data and the presence of actuation components further increase the security requirements of CPS. To address these issues, it is necessary to provide new design methods in which security is considered from the beginning of the whole design flow and addressed in a holistic way. In this paper, we focus on the design of secure CPS as part of the complete CPS design process, and provide insights into new requirements on platform-aware design of control components, design methodologies and architectures posed by CPS design. We start by discussing methods for the multi-disciplinary modeling, simulation, tools, and software synthesis challenges for CPS. We also present a framework for design of secure control systems for CPS, while taking into account properties of the underlying computation and communication platforms. Finally, we describe the security challenges in the computing hardware that is used in CPS.
Hybrid systemsmodeling languages are widely used in the development of embeddedsystems. Two representatives are Simulink/Stateflow 1 that combine Ordinary Differential Equations (ODEs), data-flow and difference equ...
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Hybrid systemsmodeling languages are widely used in the development of embeddedsystems. Two representatives are Simulink/Stateflow 1 that combine Ordinary Differential Equations (ODEs), data-flow and difference equations, hierarchical automata a la StateCharts [14] together with imperative features; and the Modelica language [1] 2 based on DAEs with features for modeling discrete components. Ptolemy II 3 is another example in which several models of computation are combined [15]. The formal verification of hybrid systems has been extensively studied [9]. Yet, we share the viewpoint of Lee and Zheng that hybrid modeling languages are best viewed as programming languages that happen to have a hybrid systems semantics [16, 17]. This raises important questions related to their design, semantics and implementation, to get efficient and reliable simulations as well as provably equivalent embedded target code. While sequential code generation in hybrid modeling tools is routinely used for efficient simulation, it is little used or not used at all to produce target embedded code in critical applications that are submitted to strong safety requirements. This results in a break in the development chain: parts of applications must be rewritten into sequential code and all properties verified on the source model cannot be trusted and have to be reverified on the target code.
The proceedings contain 66 papers. The special focus in this conference is on BigDataCloud and Euro-EDUPAR. The topics include: Distributed range-based meta-data management for an in-memory storage;network-based data ...
ISBN:
(纸本)9783319273075
The proceedings contain 66 papers. The special focus in this conference is on BigDataCloud and Euro-EDUPAR. The topics include: Distributed range-based meta-data management for an in-memory storage;network-based data processing architecture for reliable and high-performance distributed storage system;file-less approach to large scale data management;parallel computing vs. distributed computing;a web-based automated assessment tool for teaching parallel programming;teaching parallel programming in interdisciplinary studies;on-line service for teaching parallel programming;challenges of a systematic approach to parallel computing and supercomputing education;teaching heart modeling and simulation on parallel computing systems;integration of ICT in concurrent and parallel programming lectures;high-performance computing meets engineering;an educational module illustrating how sparse matrix-vector multiplication on parallel processors connects to graph partitioning;visualizing thread access on java objects using lightweight runtime monitoring;a randomized LU-based solver using GPU and intel xeon phi accelerators;identifying optimization opportunities within kernel execution in GPU codes;modeling contention and mapping effects in multi-core clusters;towards community detection on heterogeneous platforms;a design proposal for a next generation scientific software framework;accelerating direction-optimized breadth first search on hybrid architectures;a framework for accelerating nested simulations on heterogeneous platforms and communication models insights meet simulations.
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