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Nov 29, 2023 ， Abstract—We present ReLU-QP, a GPU-accelerated solver for quadratic programs (QPs) that is capable of solving high- dimensional control problems at ...
Jun 20, 2024 ， Efficient convex optimization on GPUs for embedded model predictive control. Proceedings of the General Purpose GPUs. Digital Library ， Google Scholar. [423]. W ...
Aug 6, 2024 ， The alternating direction method of multipliers (ADMM) [17, 27, 29] is a popular and efficient approach for solving convex optimization problems, including QPs ...
Aug 12, 2024 ， A. Bemporad, ＾Learning-based stochastic model predictive control for autonomous driving at uncontrolled intersections,￣ 2023, submitted for publication.
Nov 11, 2023 ， Our experimental results show that GMBE on an NVIDIA A100 GPU can achieve 70.6／ speedup over the state-of-the-art parallel MBE algorithm ParMBE on a 96-core CPU ...
Sep 14, 2024 ， We consider the problem of improving the computational efficiency of Model Predictive Control (MPC) algorithms for general nonlinear systems under non-convex ...
Sep 19, 2024 ， In this paper, we address the problem of reducing the computational burden of Model Predictive Control (MPC) for real-time robotic applications.
Jul 19, 2024 ， This paper covers the main model compression techniques applied for computer vision tasks, enabling modern models to be used in embedded systems.
Sep 23, 2024 ， This paper introduces a new C++/CUDA library for GPU-accelerated stochastic optimization called MPPI-Generic. It provides implementations of Model Predictive ...
Dec 11, 2023 ， Once trained, however, their inference is fast and can be further accelerated on dedicated hard- ware (GPUs). Numerical optimization techniques, in contrast, ...
