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cs.CE2024
PyPOD-GP: Using PyTorch for Accelerated Chip-Level Thermal Simulation of the GPU
Neil He, Ming-Cheng Cheng, Yu Liu
The rising demand for high-performance computing (HPC) has made full-chip dynamic thermal simulation in many-core GPUs critical for optimizing performance and extending device life…
cs.CE2024
Predicting Accurate Hot Spots in a More Than Ten-Thousand-Core GPU with a Million-Time Speedup over FEM Enabled by a Physics-based Learning Algorithm
Lin Jian, Yu Liu, Ming-Cheng Cheng
The classical proper orthogonal decomposition (POD) with the Galerkin projection (GP) has been revised for chip-level thermal simulation of microprocessors with a large number of c…
cs.CE2023
PODTherm-GP: A Physics-based Data-Driven Approach for Effective Architecture-Level Thermal Simulation of Multi-Core CPUs
Lin Jiang, Anthony Dowling, Ming-C. Cheng +1
A thermal simulation methodology derived from the proper orthogonal decomposition (POD) and the Galerkin projection (GP), hereafter referred to as PODTherm-GP, is evaluated in term…