Skip to main content
Applied Mathematics and Computational Sciences
AMCS
Applied Mathematics and Computational Sciences
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
SIAM Student Chapter
CEMSE Division
About
Apply
GPU Algorithms
Distributed multi-GPU Algorithms for Hierarchical Matrices
George Turkiyyah, Research Professor, Applied Mathematics and Computational Sciences
Oct 18, 12:00
-
13:00
B9 L2 R2322
GPU Algorithms
hierarchical matrices
In this talk, we show that, besides their optimal O(N) algorithmic complexity, hierarchical matrix operations also benefit from parallel scalability on distributed machines with extremely large core counts. In particular, we describe high-performance, distributed-memory, GPU-accelerated algorithms for matrix-vector multiplication and other operations on hierarchical matrices in the H^2 format.
