In this paper, we evaluate the suitability of the Tegra X1 processor as a platform for embedded model predictive control. MPC relies on the real time solution ...
[PDF] Efficient Convex Optimization on GPUs for Embedded Model ...
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Feb 5, 2017 ， In this paper, we evaluate the suitability of the Tegra X1 processor as a platform for embedded model pre- dictive control. MPC relies on the ...
This paper evaluates the suitability of the Tegra X1 processor as a platform for embedded model predictive control and investigates two different gradient ...
In this paper, we evaluate the suitability of the Tegra X1 processor as a platform for embedded model predictive control. MPC relies on the real time solution ...
Efficient convex optimization on gpus for embedded model predictive control. Published in the General Purpose GPUs ACM 2017, 2017.
Feb 5, 2017 ， ABSTRACT. GPU applications have traditionally run on PCs or in larger scale systems. With the introduction of the Tegra line of mobile ...
In this paper, we evaluate the suitability of the Tegra X1 processor as a platform for embedded model predictive control. MPC relies on the real time solution ...
Jun 14, 2022 ， This paper proposes a graphics processing unit (GPU)-based method to parallelize and accelerate PD-IPM for real-time MPC.
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... GPU-based computational techniques as efficient building blocks for their convex optimization code. ... control theory, structural optimization, economics ...
GPGPU '17- Proceedings of the 10th Annual Workshop on General ...
www.sigplan.org › OpenTOC › gpgpu17
Understanding The Security of Discrete GPUs ， Efficient Convex Optimization on GPUs for Embedded Model Predictive Control ， Merge or Separate?: Multi-job ...