Optimizing matrix multiply using PHiPAC

research-article Share on Optimizing matrix multiply using PHiPAC: a portable, high-performance, ANSI C coding methodology Authors: Jeff Bilmes CS Division, University of California at Berkeley, Berkeley, CA and International Computer Science Institute, Berkeley, CA CS Division, University of California at Berkeley, Berkeley, CA and International Computer Science Institute, Berkeley, CAView Profile , Krste Asanovic CS Division, University of California at Berkeley, Berkeley, CA and International Computer Science Institute, Berkeley, CA CS Division, University of California at Berkeley, Berkeley, CA and International Computer Science Institute, Berkeley, CAView Profile , Chee-Whye Chin CS Division, University of California at Berkeley, Berkeley, CA and International Computer Science Institute, Berkeley, CA CS Division, University of California at Berkeley, Berkeley, CA and International Computer Science Institute, Berkeley, CAView Profile , Jim Demmel CS Division, University of California at Berkeley, Berkeley, CA and International Computer Science Institute, Berkeley, CA CS Division, University of California at Berkeley, Berkeley, CA and International Computer Science Institute, Berkeley, CAView Profile Authors Info & Claims ACM International Conference on Supercomputing 25th Anniversary VolumeJune 2014 Pages 253–260https://doi.org/10.1145/2591635.2667174Online:11 July 1997Publication History 16citation295DownloadsMetricsTotal Citations16Total Downloads295Last 12 Months36Last 6 weeks5 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access