Demmel, James

A view of the parallel computing landscape

Asanovic, K., Bodik, R., Demmel, J., Keaveny, T., Keutzer, K., Kubiatowicz, J., Morgan, N., Patterson, D., Sen, K., Wawrzynek, J., et al. (2009) · Communications of the ACM

Parallel Computing and Optimization TechniquesDistributed and Parallel Computing Systems

Cited by 627

OSKI: A library of automatically tuned sparse matrix kernels

Vuduc, R., Demmel, J. W., & Yelick, K. A. (2005) · Journal of Physics: Conference Series

Parallel Computing and Optimization TechniquesMatrix Theory and Algorithms

Cited by 490

Self-Adapting Linear Algebra Algorithms and Software

Demmel, J., Dongarra, J., Eijkhout, V., Fuentes, E., Petitet, A., Vuduc, R., Whaley, R. C., & Yelick, K. (2005) · Proceedings of the IEEE

Matrix Theory and AlgorithmsParallel Computing and Optimization Techniques

Cited by 204

The Accurate and Efficient Solution of a Totally Positive Generalized Vandermonde Linear System

Demmel, J., & Koev, P. (2005) · SIAM Journal on Matrix Analysis and Applications

Matrix Theory and AlgorithmsMathematical functions and polynomials

Cited by 154

Performance Optimizations and Bounds for Sparse Matrix-Vector Multiply

Vuduc, R., Demmel, J. W., Yelick, K. A., Kamil, S., Nishtala, R., & Lee, B. (2002) · ACM/IEEE SC 2002 Conference (SC'02)

Parallel Computing and Optimization TechniquesMatrix Theory and Algorithms

Cited by 66