ARTSim: A Robust Thermal Simulator for Heterogeneous Integration Platforms
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Chiplet-based integration is a paradigm shift in system design and advanced packaging methodologies. A robust early-stage design tool supporting the thermal simulation of chiplet-based systems is essential to ensure efficient thermal management and high thermal design power. ARTSim, a robust compact thermal simulator for heterogeneous integration platforms, is presented in this work. ARTSim supports efficient thermal modeling of chiplet-based systems. ARTSim is based on a novel hybrid meshing structure that enables customization of the simulation granularity at the functional block level. Furthermore, ARTSim is backward-compatible with conventional two- and three-dimensional packaging platforms. Simulation results from ARTSim on a floorplan similar to the Alpha 21264/EV6 processor, were compared to results obtained from state-of-the-art finite element method tools. Simulation results confirm that the temperature accuracy of the thermal maps generated by ARTSim is within 3.7% maximum error, while exhibiting a reduction in runtime of up to two orders of magnitude.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it