thermal map Sheldon Tan Professor@UCR, IEEE Fellow, EiC for Integration--the VLSI journal We’re excited to share the first publicly available thermal map dataset from commercial CPU/GPU/TPU multi-core and many-core processors! These datasets were gathered using our advanced thermal imaging system at VSCLAB, UC Riverside and include both raw thermal maps and workload-dependent utilization metrics (e.g., Intel PCM, AMD uProf 4.0). This unique combination enables real-time full-chip thermal modeling using deep learning for runtime thermal, power, and reliability management (see our recent works on this). Access the dataset here: https://lnkd.in/gKXRWa6b We hope this resource will foster innovative research in thermal map estimation, modeling, and management. Below is an example of measured thermal maps and hotspots from an AMD Ryzen 7 4800U (8-core) CPU under real workloads.