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In this paper, we propose a modified architecture of a Pi-Sigma Neural Network (PSNN) based on two modifications: extension of the activation function and adding delays to neurons in the hidden layer. These new networks are called respectively Activation Function Extended Pi-Sigma (AFEPS) and Delayed Pi-Sigma (DPS) are obtained first by adding an activation function to all hidden neurons and secondly...
A cruise and headway control strategy using distributed model predictive control, developed for a vehicle platooning application is proposed in this paper. The cruise control (i.e. driving the vehicle with a constant velocity demanded by the driver) is designed for the platoon's leading vehicle, whereas for the rest of the platoon, a headway control strategy is developed. Thus, the control objective...
Many software mechanisms for geophysics exploration in Oil & Gas industries are based on wave propagation simulation. To perform such simulations, state-of-art HPC architectures are employed, generating results faster and with more accuracy at each generation. The software must evolve to support the new features of each design to keep performance scaling. Furthermore, it is important to understand...
The cost of maintaining an application code would significantly increase if the application code is branched into multiple versions, each of which is optimized for a different architecture. In this work, default and vector versions of a realworld application code are refactored to be a single version, and the differences between the versions are expressed as userdefined code transformations. As a...
We present an architecture for peer-to-peer energy markets which can guarantee that operational constraints are respected and payments are fairly rendered, without relying on a centralized utility or microgrid aggregator. We demonstrate how to address trust, security, and transparency issues by using blockchains and smart contracts, two emerging technologies which can facilitate decentralized coordination...
To satisfy growing computational demands of modern applications, significant enhancements have been introduced in the contemporary processor architectures with the aim to increase their attainable performance, such as increased number of cores, improved capability of memory subsystem and enhancements in the processor pipeline [1]. Therefore, the performance improvements are usually coupled with an...
Stencil computation arises from a broad set of scientific and engineering applications and often plays a critical role in the performance of extreme-scale simulations. Due to the memory bound nature, it is a challenging task to opti- mize stencil computation kernels on modern supercomputers with relatively high computing throughput whilst relatively low data-moving capability. This work serves as...
Live Virtual Machine (VM) migration offers a couple of benefits to cloud providers and users, but it is limited within a data center. With the development of cloud computing and the cooperation between data centers, live VM migration is also desired across data centers. Based on a detailed analysis of VM deployment models and the nature of VM image data, we design and implement a new migration framework...
This paper presents the implementation of a real-time control algorithm based on model predictive control and neural network load forecasting for microgrid optimization. At each stage, the algorithm updates the optimal trajectory for system state in order to minimize operations costs while ensuring instantaneous power balance and physical constraints respect. The proposed framework is implemented...
Division is a fundamental operation used in the architectures for digital signal processing algorithms. In this paper, we propose a fixed-point divider based on an ensemble of moving average (EnMA) curves. The EnMA algorithm generates piecewise polynomial explicit functions, which are first-order continuously differentiable. Thus, applying the EnMA algorithm for generating the curve y = 1/x, we directly...
Computational electromagnetics simulations use direct solvers to find the solution to linear systems of equations. The performance of state-of-the-art libraries, used to enhance the execution time of direct solvers, are tied to the underlying architecture and problem instance. Libraries often trade portability and generality for performance and do not use domain and hardware information for optimization...
This article presents an empirical study deriving quantitative relations between vehicle properties and avionics systems. Existing optimization methods are used to calculate the optimal avionics systems for a great number of vehicles as well as common avionics platforms. A set of basic and easy-to-determine vehicle properties is suggested, which characterize the vehicle and drive the avionics system...
Urban search and rescue robots explore the area which they don't know. They must localize themselves, map the environment, and choose their targets. The usage of robot teams can be very effective for large areas instead of a single robot. Robot teams can be managed with distributed or centric methodologies. In a distributed architecture, each robot should be self-sufficient by means of all search...
This paper studies the implementation and optimization of a high-order weighted essentially non-oscillatory (WENO) solver to the solution of the Euler equations on the multi-core and many-core architectures (Intel Ivy Bridge CPU, Intel Xeon Phi 7110P coprocessor and NVIDIA Kepler K20c GPU). The implementation of up to ninth-order accurate WENO schemes is used in the solver. For the GPU platform, both...
In this paper, we present a suite of asynchronous distributed optimization algorithms for wide-area oscillation estimation in power systems using alternating direction method of multipliers (ADMMs). We first pose the estimation problem as a real-time, iterative, and distributed consensus problem. Thereafter, we consider a probabilistic traffic model for modeling delays in any typical wide-area communication...
In this paper, we accelerate a double-precision alternating direction implicit (ADI) solver for three-dimensional compressible Navier-Stokes equations from our in-house computational fluid dynamics (CFD) software on the latest multi-core and many-core architectures (Intel Ivy Bridge CPU, Intel Xeon Phi 7110P coprocessor and NVIDIA Kepler K20c GPU). For the GPU platform, both the OpenACC-based and...
We propose a methodology for architecture exploration for Cyber-Physical Systems (CPS) based on an iterative, optimization-based approach, where a discrete architecture selection engine is placed in a loop with a continuous sizing engine. The discrete optimization routine proposes a candidate architecture to the sizing engine. The sizing routine optimizes over the continuous parameters using simulation...
Spectrum, energy, and cost efficiencies will be three critical performance metrics in 5G ultra-dense green and cost-effective networks. Although research attention have been poured in optimization and tradeoff between spectrum and energy efficiencies, limited attention has been concentrated on the cost efficiency. Furthermore, there lacks a unified mathematical modeling and tradeoff investigation...
Designed with the goal of mimicking key features of real HPC workloads, mini-apps have become an important tool for co-design. An investigation of mini-app behavior can provide system designers with insight into the impact of architectures, programming models, and tools on application performance. Mini-apps can also serve as a platform for fast algorithm design space exploration, allowing the application...
This paper presents an approach that uses a supervisor architecture structure with the intention to reach flexibility of the combustion process control during the boiler functioning on the example of the high qualified GETEC Heat & Power AG. For this case, adaptive distributed 3-layer boiler control system with the supervisor on top is invented, supported on the middle layer with load distribution...
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