Dongarra’s work on linear algebra libraries (BLAS and LAPACK among others) absolutely deserves this award. The world runs on these linear algebra libraries. Factories, robots, biology, solvers, you name it and BLAS probably runs it. I know many Lobsters aren’t really interested in scientific computing, but I’m glad to see this article posted here.
Not necessary running on his library in particular. The most important thing is abstraction. He successfully designed this abstraction, and the abstraction became so pervasive. On Intel CPUs, there is MKL; on Nvidia GPUs, there is cublas; on macOS, there is the Accelerate framework.
Dongarra’s work on linear algebra libraries (BLAS and LAPACK among others) absolutely deserves this award. The world runs on these linear algebra libraries. Factories, robots, biology, solvers, you name it and BLAS probably runs it. I know many Lobsters aren’t really interested in scientific computing, but I’m glad to see this article posted here.
Not necessary running on his library in particular. The most important thing is abstraction. He successfully designed this abstraction, and the abstraction became so pervasive. On Intel CPUs, there is MKL; on Nvidia GPUs, there is cublas; on macOS, there is the Accelerate framework.
Dongarra’s libraries also introduced many important innovations including autotuning
So he’s to blame…. /s