Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Efficient full-chip thermal modeling and analysis
Proceedings of the 2004 IEEE/ACM International conference on Computer-aided design
Parallelization of cellular neural networks on GPU
Pattern Recognition
Introduction to GPU programming for EDA
Proceedings of the 2009 International Conference on Computer-Aided Design
Proceedings of the 2009 International Conference on Computer-Aided Design
Hotspot: acompact thermal modeling methodology for early-stage VLSI design
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
3D-ICE: fast compact transient thermal modeling for 3D ICs with inter-tier liquid cooling
Proceedings of the International Conference on Computer-Aided Design
Fast thermal analysis on GPU for 3D-ICs with integrated microchannel cooling
Proceedings of the International Conference on Computer-Aided Design
IC thermal simulation and modeling via efficient multigrid-based approaches
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
PRO3D: programming for future 3D manycore architectures
Proceedings of the 2012 Interconnection Network Architecture: On-Chip, Multi-Chip Workshop
Thermal prediction and adaptive control through workload phase detection
ACM Transactions on Design Automation of Electronic Systems (TODAES) - Special section on adaptive power management for energy and temperature-aware computing systems
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Heat removal is one of the major challenges faced in developing the new generation of high density integrated circuits. Future design technologies strongly depend on the availability of efficient means for thermal modeling and analysis. These thermal models must be also accurate and provide the most efficient level of abstraction enabling fast execution. We propose an innovative thermal simulation method based on Neural Networks that is able to solve the scalability problem of transient heat flow simulation in large 2D/3D multi-processor ICs by exploiting the computational power of massively parallel graphics processing units (GPUs).