Summary
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 weeks or months to complete. This award addresses that gap by establishing sparse linear algebra as a un
