DiffRMST: A GPU-Accelerated Fully Differentiable Rectilinear Minimum Spanning Tree Wirelength Model for Global Placement
cs.AR
Submitted: 2026-10-20
Updated: 2026-10-20
Related papers
- WitCert: Sound Runtime Risk Observability and Gating for KV-Cache Quantization
- Golden Ruler: A Numeric Format Catalog with Bit-Exact Conformance Vectors for FP8, BF16, MXFP4, and Microscaling Formats
- RFChipAgent: Multi-Agentic AI Flow for Analog/RF Chip Design
- PoisonCap: Efficient Hierarchical Temporal Safety for CHERI
- Provisioning to Runtime Optimization of a 100 MW-Scale AI Cluster
- Bit-Accurate Modeling of GPU Matrix Multiply-Accumulate Units: Demystifying Numerical Discrepancy and Accuracy