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P1674: Changes based on PR suggestions for P1673 #232

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25 changes: 15 additions & 10 deletions D1674/evolving-from-blas.md
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Expand Up @@ -100,10 +100,11 @@ comes only in Fortran. It's also slow; for example,
its matrix-matrix multiply routine uses nearly the same triply nested
loops that a naïve developer would write. The intent of the BLAS is
that users who care about performance find optimized implementations,
either by hardware vendors or by projects like ATLAS (Whaley et
al. 2001), the
either by hardware vendors or by projects like
[ATLAS](http://math-atlas.sourceforge.net/) (see also Whaley et al. 2001),
[GotoBLAS](https://www.tacc.utexas.edu/research-development/tacc-software/gotoblas2),
or [OpenBLAS](http://www.openblas.net).
[OpenBLAS](https://github.com/xianyi/OpenBLAS),
or [BLIS](https://github.com/flame/blis).

Suppose that our developer has found an optimized implementation of
the BLAS, and they want to call some of its routines from C++. Here
Expand Down Expand Up @@ -1494,16 +1495,16 @@ Thanks to Damien Lebrun-Grandie for reviewing Revision 1 changes.
A Portable, High-Performance, ANSI C Coding Methodology and its
application to Matrix Multiply," LAPACK Working Note 111, 1996.

* K. Goto and R. A. van de Geijn, "Anatomy of high-performance matrix
multiplication", ACM Transactions of Mathematical Software (TOMS),
Vol. 34, No. 3, May 2008.
* K. Goto and R. A. van de Geijn,
["Anatomy of high-performance matrix multiplication"](https://doi.org/10.1145/1356052.1356053),
*ACM Transactions of Mathematical Software* (TOMS),
Vol. 34, No. 3, May 2008. See also

* M. Hoemmen, D. Hollman, C. Trott, D. Sunderland, N. Liber, A. Klinvex,
Li-Ta Lo, D. Lebrun-Grandie, G. Lopez, P. Caday, S. Knepper, P. Luszczek,
and T. Costa,
"A free function linear algebra interface based on the BLAS,"
P1673R6,
Dec. 2021.
P1673R7, Apr. 2022.

* C. Trott, D. Hollman, M. Hoemmen, and D. Sunderland,
"`mdarray`: An Owning Multidimensional Array Analog of `mdspan`",
Expand All @@ -1521,14 +1522,18 @@ Thanks to Damien Lebrun-Grandie for reviewing Revision 1 changes.

* J. Siek and A. Lumsdaine, "The Matrix Template Library: A Generic
Programming Approach to High Performance Numerical Linear Algebra,"
in proceedings of the Second International Symposium on Computing in
in Proceedings of the Second International Symposium on Computing in
Object-Oriented Parallel Environments (ISCOPE) 1998, Santa Fe, NM,
USA, Dec. 1998.

* F. G. Van Zee and R. A. van de Geijn,
["BLIS: A Framework for Rapidly Instantiating BLAS Functionality,"](https://doi.org/10.1145/2764454),
*ACM Transactions on Mathematical Software* (TOMS), Vol. 41, No. 3, June 2015.

* R. Vuduc, "Automatic performance tuning of sparse matrix kernels,"
PhD dissertation, Electrical Engineering and Computer Science,
University of California Berkeley, 2004.

* R. C. Whaley, A. Petitet, and J. Dongarra, "Automated Empirical
Optimization of Software and the ATLAS Project," Parallel Computing,
Optimization of Software and the ATLAS Project," *Parallel Computing*,
Vol. 27, No. 1-2, Jan. 2001, pp. 3-35.