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Nov 29, 2023Abstract—We present ReLU-QP, a GPU-accelerated solver for quadratic programs (QPs) that is capable of solving high- dimensional control problems at ...
Nov 11, 2023Our 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 ...
Jun 11, 2024We present a method to solve convex continuous optimization problems with quadratic cost functions and linear constraints on Intel's scalable neuromorphic ...
Aug 12, 2024This paper proposes DeepPlan to minimize inference latency while provisioning DL models from host to GPU in server environments.
Oct 11, 2024A. Bemporad, ^Learning-based stochastic model predictive control for autonomous driving at uncontrolled intersections, ̄ 2023, submitted for publication.
Aug 19, 2024Small models cater to the need for efficiency, particularly important for deploying multimodal systems on edge devices, while large models emphasize the pursuit ...
Dec 13, 2023FlyBot utilizes model predictive control (MPC) [89] to follow the path identified by the planner. MPC formulates motion control as a convex optimization ...
Sep 28, 2024In particular, we will introduce policy optimization-based approaches, formal methods-based approaches, control theory-based approaches, and Gaussian processes- ...
Jun 20, 2024This paper explores the use of neuromorphic hardware for efficient and scalable model predictive control (MPC) by solving quadratic programming (QP) ...
Feb 7, 2024My research interests include algorithmic, software, and hardware techniques for high-performance machine learning, with a focus on relaxed-consistency variants ...