SEARCH SESSIONS

Search All
 
Refine Results:
 
Year(s)

SOCIAL MEDIA

EMAIL SUBSCRIPTION

 
 

GTC ON-DEMAND

Programming Languages
Presentation
Media
Language and Compiler Extensions for Heterogeneous Computing
Speakers:
Albert Sidelnik
- University of Illinois at Urbana-Champaign
Abstract:
GPGPU architectures offer large performance gains over their traditional CPU counterparts for many applications. However, current GPU programming models present numerous challenges to the programmer: lower-level languages, explicit data movement, loss of portability, and performance optimization challenges. In this paper, we present novel methods and compiler transformations that increase productivity by enabling users to easily program GPUs using the high productivity programming language Chapel.
 
Topics:
Programming Languages
Type:
Poster
Event:
GTC Silicon Valley
Year:
2010
Session ID:
P10R03
Download:
Share: