CAREER: System-Technology Co-Optimization for 3-D ICs With Hierarchical Digital Twins — NSF Award to Carnegie Mellon University (P
This award supports research on three-dimensional (3D) chip design methods that advance national prosperity by enabling more capable and energy-efficient computing systems. Modern software applications, such as Artificial Intelligence (AI) large-language models, require orders-of-magnitude improvements in performance a
| Award title | CAREER: System-Technology Co-Optimization for 3-D ICs With Hierarchical Digital Twins |
|---|---|
| Award ID | 2544278 |
| Awardee | Carnegie Mellon University |
| City | PITTSBURGH |
| State | PA |
| Amount obligated | $367,934 |
| Principal investigator | Tathagata Srimani |
| Program | Software & Hardware Foundation |
| Start date | 06/01/2026 |
| Abstract | This award supports research on three-dimensional (3D) chip design methods that advance national prosperity by enabling more capable and energy-efficient computing systems. Modern software applications, such as Artificial Intelligence (AI) large-language models, require orders-of-magnitude improvements in performance and energy efficiency beyond what traditional transistor scaling can deliver, and a growing share of energy is wasted shuttling data between processors and memory rather than perfor |
| Source | NSF Awards |
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