ACM Home Page
Please provide us with feedback. Feedback
A performance-oriented data parallel virtual machine for GPUs
Full text MovMov (23:48),  PdfPdf (142 KB)
Source International Conference on Computer Graphics and Interactive Techniques archive
ACM SIGGRAPH 2006 Sketches table of contents
Boston, Massachusetts
SESSION: Sketches: cache flow table of contents
Article No. 184  
Year of Publication: 2006
ISBN:1-59593-364-6
Authors
Mark Peercy  ATI Research, Inc.
Mark Segal  ATI Research, Inc.
Derek Gerstmann  ATI Research, Inc.
Sponsor
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 11,   Downloads (12 Months): 96,   Citation Count: 11
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1179849.1180079
What is a DOI?

ABSTRACT

Existing GPU programming interfaces require applications to adopt a graphics-centric programming model exported by a device driver tuned for real-time graphics and games. This programming model, however, hinders the development and performance of non-graphics applications by imposing a graphics policy for program execution and hiding hardware resources. We present a new virtual machine abstraction for GPUs that provides policy-free, low-level access to the hardware and is designed for high-performance, data-parallel applications.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
{GPGPU} General-Purpose Computation Using Graphics Hardware. <http://www.gpgpu.org>
 
2
{ATI}ATI, INC. 2006. Radeon X1K Family Tech Overview.

CITED BY  11

Collaborative Colleagues:
Mark Peercy: colleagues
Mark Segal: colleagues
Derek Gerstmann: colleagues