CAREER: Error-Resilient Algorithmic Design for Emerging Hardware Technologies — NSF Award to Stanford University (CA, $414,320)
Running artificial intelligence workloads requires vast amounts of memory and energy, motivating a new generation of memory and transistor technologies that pack more storage closer to compute and operate at lower power. These emerging devices are promising candidates for accelerating AI, but they experience data corru
| Award title | CAREER: Error-Resilient Algorithmic Design for Emerging Hardware Technologies |
|---|---|
| Award ID | 2540782 |
| Awardee | Stanford University |
| City | STANFORD |
| State | CA |
| Amount obligated | $414,320 |
| Principal investigator | Sara Achour |
| Program | Software & Hardware Foundation |
| Start date | 06/01/2026 |
| Abstract | Running artificial intelligence workloads requires vast amounts of memory and energy, motivating a new generation of memory and transistor technologies that pack more storage closer to compute and operate at lower power. These emerging devices are promising candidates for accelerating AI, but they experience data corruption at rates far higher than conventional hardware, making them unreliable without costly error-correction techniques that erase their efficiency advantage. This project develops |
| Source | NSF Awards |
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