GTC ON-DEMAND

 
SEARCH SESSIONS
SEARCH SESSIONS

Search All
 
Refine Results:
 
Year(s)

SOCIAL MEDIA

EMAIL SUBSCRIPTION

 
 

GTC ON-DEMAND

Artificial Intelligence and Deep Learning
Presentation
Media
Demystifying Learning at Scale: From Distributed Mathematics to Effective HPC Infrastructure
Abstract:
We'll demonstrate some of the design choices required to provide a distributed, in-memory, GPU-accelerated, parallel mathematics library, distributed mathematics (dMath). The library considers some of the most common functionality required for effective scaling of deep learning pipelines for a variety of recognition and understanding tasks. The core of the problem is efficient implementations of common basic linear algebra subprograms (BLAS) and specific abstractions for learning at scale.
 
Topics:
Artificial Intelligence and Deep Learning
Type:
Talk
Event:
GTC Silicon Valley
Year:
2016
Session ID:
S6669
Streaming:
Download:
Share: