3 citations · 6 across the 3 of their papers we have counts for
3 papers
Making root cause analysis feasible for large code bases: a solution approach for a climate model
Daniel J. Milroy, Allison H. Baker, Dorit M. Hammerling +3
For large-scale simulation codes with huge and complex code bases, where bit-for-bit comparisons are too restrictive, finding the source of statistically significant discrepancies…
Lighthouse: A User-Centered Web Service for Linear Algebra Software
Boyana Norris, Sa-Lin Bernstein, Ramya Nair +1
Various fields of science and engineering rely on linear algebra for large scale data analysis, modeling and simulation, machine learning, and other applied problems. Linear algebr…
Reliable Generation of High-Performance Matrix Algebra
Geoffrey Belter, Elizabeth Jessup, Thomas Nelson +2
Scientific programmers often turn to vendor-tuned Basic Linear Algebra Subprograms (BLAS) to obtain portable high performance. However, many numerical algorithms require several BL…