Skip to main content
King Abdullah University of Science and Technology
Computer Science
Computer Science
  • Study
    • Prospective Students
    • Current Students
  • Research
    • Research Areas
    • Research Groups
  • People
    • All People
    • Faculty
    • Affiliate Faculty
    • Instructional Faculty
    • Research Scientists
    • Research Staff
    • Postdoctoral Fellows
    • Administrative Staff
    • Alumni
    • Students
  • News
  • Events
  • About
  • CEMSE Division
  • Apply

Sparse Linear Algebra

Solvers That Don't Choose Sides

Esmail Abdul Fattah, Postdoctoral Research Fellow, Statistics
Oct 15, 12:00 - 13:00

B9 R2325

sparse computation scientific computing programming abstractions dense linear algebra Sparse Linear Algebra sTiles

In this talk, I will present sTiles, a direct solver that decides sparse or dense tile by tile instead of once for the whole matrix, covering the full range from sparse to fully dense and outpacing established sparse direct solvers on the repeated factorizations that drive large-scale inference.

Computer Science (CS)

Footer

  • A-Z Directory
    • All Content
    • Browse Related Sites
  • Site Management
    • Log in

© 2025 King Abdullah University of Science and Technology. All rights reserved. Privacy Notice

Disclaimer: The views and opinions expressed in this page are strictly those of the page author.