Batched, Reproducible, and Reduced Precision BLAS

Authors: Piotr Luszczek (University of Tennessee, Innovative Computing Laboratory), Jack Dongarra (University of Tennessee, Innovative Computing Laboratory)

Abstract: This BoF will bring together the community focused on extending the Basic Linear Algebra Software (BLAS). The existing BLAS proved to be effective in assisting portable, efficient software for sequential and the current class of high-performance computers. We’d like to investigate the possibility of extending the currently accepted standards to provide greater parallelism for small size operations, reproducibility, and reduced precision support. This is an open forum to discuss and formalize details. The agenda and talks from past workshops can be found here:

http://bit.ly/Batch-BLAS-2017

http://bit.ly/Batch-BLAS-2016

http://icl.utk.edu/bblas/

A standard interface will be considered for the Batched, Reproducible, and Reduced Precision BLAS.

Long Description: N/A

URL: http://icl.utk.edu/bblas/



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