GTC ON-DEMAND

 
SEARCH SESSIONS
SEARCH SESSIONS

Search All
 
Refine Results:
 
Year(s)

SOCIAL MEDIA

EMAIL SUBSCRIPTION

 
 

GTC ON-DEMAND

Developer - Algorithms
Presentation
Media
MAGMA: The State of the Art in High-performance Numerical Linear Algebra for GPUs
Abstract:

Learn about the newest developments in high-performance numerical linear algebra for heterogeneous GPU-based systems. A number of novel algorithms and the methodology used for their implementation on multiGPU platforms will be shown. The implementations are open source, available through the MAGMA library âààa next generation of LAPACK for heterogeneous architectures. Included are both linear system and eigenproblem solvers for both dense and sparse computations. The developments incorporate advances made through the CUDA Center of Excellence (CCOE) at University of Tennessee, the CCOE at King Abdullah University of Science and Technology, Saudi Arabia, and at INRIA, France though the StarPU and MORSE projects.

 
Topics:
Developer - Algorithms
Type:
Talk
Event:
GTC Silicon Valley
Year:
2013
Session ID:
S3281
Streaming:
Download:
Share: