Publications related to Multicore thermal management using approximate explicit model predictive control

Reduction strategies for shape dependent inverse problems in haemodynamics

Gianluigi Rozza, Andrea Manzoni, Toni Mikael Lassila

This work deals with the development and application of reduction strategies for real-time and many query problems arising in fluid dynamics, such as shape optimization, shape registration (reconstruction), and shape parametrization. The proposed strategy ...

Springer2012

Stochastic Model Predictive Control: Controlling the Average Number of Constraint Violations

Colin Neil Jones, Milan Korda

This paper considers linear discrete-time systems with additive bounded disturbances subject to hard control input bounds and constraints on the expected number of state-constraint violations averaged over time, or, equivalently, constraints on the probabi ...

2012

A Set-Theoretic Method for Verifying Feasibility of a Fast Explicit Nonlinear Model Predictive Controller

Colin Neil Jones, John Lygeros

In this chapter an algorithm for nonlinear explicit model predictive control is presented. A low complexity receding horizon control law is obtained by approximating the optimal control law using multiscale basis function approximation. Simultaneously, fea ...

Springer London2012

Multicore thermal management using approximate explicit Model Predictive Control

Giovanni De Micheli, David Atienza Alonso, Colin Neil Jones, Francesco Zanini

Meeting temperature constraints and reducing the hot-spots are critical for achieving reliable and efficient operation of complex multi-core systems. In this paper we aim at achieving an online smooth thermal control action that minimizes the performance l ...

IEEE Press2010

Online Convex Optimization-Based Algorithm for Thermal Management of MPSoCs

Giovanni De Micheli, David Atienza Alonso, Francesco Zanini

Meeting the temperature constraints and reducing the hot-spots are critical for achieving reliable and efficient operation of complex multi-core systems. The goal of thermal management is to meet maximum operating temperature constraints, while tracking ti ...

ACM Press2010

Computing in Social Networks

Rachid Guerraoui, Anne-Marie Kermarrec, Kévin Clément Huguenin, Andrei Giurgiu

This paper defines the problem of Scalable Secure Computing in a Social network: we call it the S-3 problem. In short, nodes, directly reflecting on associated users, need to compute a function f : V -> U of their inputs in a set of constant size, in a sca ...

Springer-Verlag New York, Ms Ingrid Cunningham, 175 Fifth Ave, New York, Ny 10010 Usa2010

Optimal Linear Fusion for Distributed Detection Via Semidefinite Programming

Ali H. Sayed

Consider the problem of signal detection via multiple distributed noisy sensors. We study a linear decision fusion rule of [Z. Quan, S. Cui, and A. H. Sayed, ¿Optimal Linear Cooperation for Spectrum Sensing in Cognitive Radio Networks,¿ IEEE J. Sel. Topics ...

IEEE2010

An optimal first-order solver for the TV-$L_1$ optical flow problem

Pierre Vandergheynst, Gilles Puy, Emmanuel D'Angelo

In this study, we address the problem of computing efficiently a dense optical flow between two images under a total variation (TV) regularization and an

L_1

norm data fidelity constraint using a variational method. We build upon Nesterov's framework for ...

2010

Multicore Thermal Management with Model Predictive Control

Giovanni De Micheli, David Atienza Alonso, Luca Benini, Francesco Zanini

The goal of thermal management is to meet maximum operating temperature constraints, while at the same time tracking timevarying performance requirements. Current approaches avoid thermal violations by forcing abrupt operating points changes (e.g. processo ...

IEEE Press2009

Blocking parameterizations for improving the computational tractability of affine disturbance feedback MPC problems

Colin Neil Jones

Many model predictive control (MPC) schemes suffer from high computational complexity. Especially robust MPC schemes, which explicitly account for the effects of disturbances, can result in computationally intractable problems. So-called move-blocking is a ...

IEEE2009

Multicore thermal management using approximate explicit model predictive control

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Reduction strategies for shape dependent inverse problems in haemodynamics

Stochastic Model Predictive Control: Controlling the Average Number of Constraint Violations

A Set-Theoretic Method for Verifying Feasibility of a Fast Explicit Nonlinear Model Predictive Controller

Multicore thermal management using approximate explicit Model Predictive Control

Online Convex Optimization-Based Algorithm for Thermal Management of MPSoCs

Computing in Social Networks

Optimal Linear Fusion for Distributed Detection Via Semidefinite Programming

An optimal first-order solver for the TV-$L_1$ optical flow problem

Multicore Thermal Management with Model Predictive Control

Blocking parameterizations for improving the computational tractability of affine disturbance feedback MPC problems

A Set-Theoretic Method for Verifying Feasibility of a Fast Explicit Nonlinear Model Predictive Controller

Stochastic Model Predictive Control: Controlling the Average Number of Constraint Violations

Blocking parameterizations for improving the computational tractability of affine disturbance feedback MPC problems

Online Convex Optimization-Based Algorithm for Thermal Management of MPSoCs

Optimal Linear Fusion for Distributed Detection Via Semidefinite Programming

An optimal first-order solver for the TV-$L_1$ optical flow problem

Multicore Thermal Management with Model Predictive Control

Reduction strategies for shape dependent inverse problems in haemodynamics

Multicore thermal management using approximate explicit Model Predictive Control

Computing in Social Networks