Design, implementation and testing of extended and mixed precision BLAS

  • Authors:

  • Xiaoye S. Li;James W. Demmel;David H. Bailey;Greg Henry;Yozo Hida;Jimmy Iskandar;William Kahan;Suh Y. Kang;Anil Kapur;Michael C. Martin;Brandon J. Thompson;Teresa Tung;Daniel J. Yoo

  • Affiliations:

  • Lawrence Berkeley National Laboratory;University of California, Berkeley, CA;Lawrence Berkeley National Laboratory;Intel Corporation, Hillsboro, OR;University of California, Berkeley, CA;University of California, Berkeley, CA;University of California, Berkeley, CA;University of California, Berkeley, CA;University of California, Berkeley, CA;University of California, Berkeley, CA;University of California, Berkeley, CA;University of California, Berkeley, CA;University of California, Berkeley, CA

  • Venue:
  • ACM Transactions on Mathematical Software (TOMS)
  • Year:
  • 2002

Quantified Score

Hi-index 0.00

Visualization

Abstract

This article describes the design rationale, a C implementation, and conformance testing of a subset of the new Standard for the BLAS (Basic Linear Algebra Subroutines): Extended and Mixed Precision BLAS. Permitting higher internal precision and mixed input/output types and precisions allows us to implement some algorithms that are simpler, more accurate, and sometimes faster than possible without these features. The new BLAS are challenging to implement and test because there are many more subroutines than in the existing Standard, and because we must be able to assess whether a higher precision is used for internal computations than is used for either input or output variables. We have therefore developed an automated process of generating and systematically testing these routines. Our methodology is applicable to languages besides C. In particular, our algorithms used in the testing code will be valuable to all other BLAS implementors. Our extra precision routines achieve excellent performance---close to half of the machine peak Megaflop rate even for the Level 2 BLAS, when the data access is stride one.