CAREER: Sparse Linear Algebra as a Scalable Computational Paradigm — NSF Award to Cornell University (NY, $425,666)
Scientific discovery increasingly relies on the ability to analyze datasets of unprecedented scale and complexity. In genomics, studies that once examined a few thousand individuals now aim to analyze millions. Computing systems capable of handling this scale exist but using them effectively requires expertise in paral
| Award title | CAREER: Sparse Linear Algebra as a Scalable Computational Paradigm |
|---|---|
| Award ID | 2542947 |
| Awardee | Cornell University |
| City | ITHACA |
| State | NY |
| Amount obligated | $425,666 |
| Principal investigator | Giulia Guidi |
| Program | CAREER: FACULTY EARLY CAR DEV |
| Start date | 07/01/2026 |
| Abstract | Scientific discovery increasingly relies on the ability to analyze datasets of unprecedented scale and complexity. In genomics, studies that once examined a few thousand individuals now aim to analyze millions. Computing systems capable of handling this scale exist but using them effectively requires expertise in parallel programming and modern accelerator architectures, which most scientists lack. As a result, important scientific questions remain unanswered because computations would take week |
| Source | NSF Awards |
$799/mo
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