Results 41 to 50 of about 524,572 (112)

Optimal Flood Control [PDF]

, 2011
A mathematical model for optimal control of the water levels in a chain of reservoirs is studied. Some remarks regarding sensitivity with respect to the time horizon, terminal cost and forecast of inflow are ...
Dickinson, P, Hulshof, J, Ran, A
core  

Automated Curvy Waveguide Routing for Large-Scale Photonic Integrated Circuits [PDF]

arXiv
As photonic integrated circuit (PIC) designs advance and grow in complexity, largely driven by innovations in photonic computing and interconnects, traditional manual physical design processes have become increasingly cumbersome. Available PIC layout automation tools are mostly schematic-driven, which has not alleviated the burden of manual waveguide ...
arxiv  

Using Collective Intelligence to Route Internet Traffic [PDF]

Advances in Information Processing Systems - 11, eds M. Kearns, S. Solla, D. Cohn, MIT Press, 1999, 1999
A COllective INtelligence (COIN) is a set of interacting reinforcement learning (RL) algorithms designed in an automated fashion so that their collective behavior optimizes a global utility function. We summarize the theory of COINs, then present experiments using that theory to design COINs to control internet traffic routing.
arxiv  

LiDAR 2.0: Hierarchical Curvy Waveguide Detailed Routing for Large-Scale Photonic Integrated Circuits [PDF]

arXiv
Driven by innovations in photonic computing and interconnects, photonic integrated circuit (PIC) designs advance and grow in complexity. Traditional manual physical design processes have become increasingly cumbersome. Available PIC layout tools are mostly schematic-driven, which has not alleviated the burden of manual waveguide planning and layout ...
arxiv  

Automated Routing-Informed Placement for Large-Scale Photonic Integrated Circuits [PDF]

arXiv
As technology advances, photonic integrated circuits (PICs) are rapidly scaling in size and complexity, with modern designs integrating thousands of components. However, the analog custom layout nature of photonics, the curvy waveguide structures, and single-layer routing resources impose stringent physical constraints, such as minimum bend radii and ...
arxiv  

Depth First Always On Routing Trace Algorithm [PDF]

arXiv, 2017
In this paper, we discussed current limitation in the electronic-design-automotation (EDA) tool on tracing the always on routing. We developed an algorithm to efficiently track the secondary power routing and accurately estimate the routing quality using approximate voltage drop as the criteria.
arxiv  

A Lightweight Inception Boosted U-Net Neural Network for Routability Prediction [PDF]

arXiv
As the modern CPU, GPU, and NPU chip design complexity and transistor counts keep increasing, and with the relentless shrinking of semiconductor technology nodes to nearly 1 nanometer, the placement and routing have gradually become the two most pivotal processes in modern very-large-scale-integrated (VLSI) circuit back-end design.
arxiv  

Piloted simulation of an air-ground profile negotiation process in a time-based Air Traffic Control environment [PDF]

Historically, development of airborne flight management systems (FMS) and ground-based air traffic control (ATC) systems has tended to focus on different objectives with little consideration for operational integration.
Green, Steven M., Williams, David H.
core   +1 more source

Deep Representation Learning for Electronic Design Automation [PDF]

arXiv
Representation learning has become an effective technique utilized by electronic design automation (EDA) algorithms, which leverage the natural representation of workflow elements as images, grids, and graphs. By addressing challenges related to the increasing complexity of circuits and stringent power, performance, and area (PPA) requirements ...
arxiv  

E2ESlack: An End-to-End Graph-Based Framework for Pre-Routing Slack Prediction [PDF]

arXiv
Pre-routing slack prediction remains a critical area of research in Electronic Design Automation (EDA). Despite numerous machine learning-based approaches targeting this task, there is still a lack of a truly end-to-end framework that engineers can use to obtain TNS/WNS metrics from raw circuit data at the placement stage.
arxiv