Towards soft optimization techniques for parallel cognitive applications

Subscribe (Full Service)


	Search: The ACM Digital Library The Guide

	Feedback

Towards soft optimization techniques for parallel cognitive applications

Full text

Pdf (134 KB)

Source

ACM Symposium on Parallel Algorithms and Architectures archive
Proceedings of the nineteenth annual ACM symposium on Parallel algorithms and architectures table of contents

San Diego, California, USA

SESSION: Brief announcements I: parallel and multicore systems table of contents

Pages: 59 - 60

Year of Publication: 2007

ISBN:978-1-59593-667-7

Authors

Woongki Baek	Stanford University, Stanford, CA
JaeWoong Chung	Stanford University, Stanford, CA
Chi Cao Minh	Stanford University, Stanford, CA
Christos Kozyrakis	Stanford University, Stanford, CA
Kunle Olukotun	Stanford University, Stanford, CA

Sponsors

ACM: Association for Computing Machinery
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
SIGARCH: ACM Special Interest Group on Computer Architecture

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 2, Downloads (12 Months): 79, Citation Count: 0

Additional Information:

references index terms collaborative colleagues

Tools and Actions:	Review this Article Save this Article to a Binder Display Formats: BibTex EndNote ACM Ref

DOI Bookmark:	Use this link to bookmark this Article: http://doi.acm.org/10.1145/1248377.1248389 What is a DOI?

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	Stephen Cass, Winner: a fountain of knowledge, IEEE Spectrum, v.41 n.1, p.68-75, January 2004
	2	H. Chafi et al. A scalable, non-blocking approach to transactional memory. In 13th International Symposium on High Performance Computer Architecture (HPCA). Feb 2007.
	3	P. Dubey. Recognition, mining and synthesis moves computers to the era of tera. Technology@Intel Magazine, pages 1--10, February 2005.
	4	X. Li and D. Yeung. Exploiting soft computing for increased fault tolerance. In Proceedings of Workshop on Architectural Support for Gigascale Integration, June 2006.
	5	K. Murphy et al. Loopy belief propagation for approximate inference: An empirical study. In Proceedings of the 15th Annual Conference on Uncertainty in Artificial Intelligence (UAI-99), pages 467--47, San Francisco, CA, 1999. Morgan Kaufmann.
	6	Lotfi A. Zadeh, Fuzzy logic, neural networks, and soft computing, Communications of the ACM, v.37 n.3, p.77-84, March 1994 [doi>10.1145/175247.175255]