GTC ON-DEMAND

 
SEARCH SESSIONS
SEARCH SESSIONS

Search All
 
Refine Results:
 
Year(s)

SOCIAL MEDIA

EMAIL SUBSCRIPTION

 
 

GTC ON-DEMAND

Algorithms & Numerical Techniques
Presentation
Media
Hierarchical Computations on Manycore Architectures
Abstract:
Learn about a new hierarchical matrix structure for fast linear algebra computations on GPUs! Recursivity, tree traversal, hierarchical data layout, and batched kernel executions are some of the ingredients of a new HPC recipe for computing challenging linear algebra operations and solving large scientific problems (e.g., spatial statistics) on GPUs. By exploiting the low-rank matrix representations, the original dense matrix of the problem can be approximated, which results in saving the memory footprint and reducing the algorithmic complexity, while still maintaining an adequate solution accuracy. In addition, the talk showcases a new high-performance hierarchical symmetric eigensolver and SVD, juicing the horsepower out of multiple GPUs to the fullest.
 
Topics:
Algorithms & Numerical Techniques, Performance Optimization, Tools & Libraries
Type:
Talk
Event:
GTC Silicon Valley
Year:
2016
Session ID:
S6230
Streaming:
Download:
Share: