Emerging NVM; Nvidia GPU confidential computing; breaking the HBM bit cost barrier; LLM system-performance and cost modeling; gate dielectrics for 2D TMDs; hardware trojans in superconducting electronic circuits; LLM-powered automatic design flow tuning framework.
New technical papers recently added to Semiconductor Engineering’s library:
| Name of Paper | Research Organizations |
|---|---|
| System-performance and cost modeling of Large Language Model training and inference | imec |
| Breaking the HBM Bit Cost Barrier: Domain-Specific ECC for AI Inference Infrastructure | Rensselaer Polytechnic Institute and IBM |
| NVIDIA GPU Confidential Computing Demystified | IBM Research and Ohio State University |
| Emerging Nonvolatile Memory Technologies in the Future of Microelectronics | Texas A&M University, University of Massachusetts and USC |
| Gate dielectrics for transistors based on two-dimensional transition metal dichalcogenide semiconductors | University of Cambridge |
| Hardware trojans in superconducting electronic circuits | University of Rochester |
| CROP: Circuit Retrieval and Optimization with Parameter Guidance using LLMs | Duke University and Synopsys |
Find more semiconductor research papers here.
Leave a Reply