2025-07-24 –, Main Room 3
Sparsity is a fundamental assumption that allows us to compute efficiently and find parsimonious solutions to science and engineering problems. Sparsity exists in all basic sciences such as physics, biology, and chemistry. I am going to give a sampling of our recent work on sparse computations, with an emphasis on large-scale parallelism. The underlying theme will be the challenges posed by sparsity and the computational techniques we employ to overcome these challenges.
Sparsity is a fundamental assumption that allows us to compute efficiently and find parsimonious solutions to science and engineering problems. Sparsity exists in all basic sciences such as physics, biology, and chemistry. I am going to give a sampling of our recent work on sparse computations, with an emphasis on large-scale parallelism. The underlying theme will be the challenges posed by sparsity and the computational techniques we employ to overcome these challenges. I am also going to present a review of the trends in sparse computations, powered by the changing application requirements, data size increases, and architectural forces.
