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Salvatore Filippone
2024-07-11 13:12:17 +02:00
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@@ -27,35 +27,35 @@ preprocessing sparse matrices, and contains additional routines for dense matrix
operations. The current implementation of PSBLAS addresses a distributed memory
execution model operating with message passing.
<!--l. 14--><p class="indent" > The PSBLAS library version 3 is implemented in the Fortran&#x00A0;2003&#x00A0;<span class="cite">[<a
href="userhtmlli2.html#Xmetcalf">17</a>]</span>
href="userhtmlli2.html#Xmetcalf">16</a>]</span>
programming language, with reuse and/or adaptation of existing Fortran&#x00A0;77 and
Fortran&#x00A0;95 software, plus a handful of C routines.
<!--l. 19--><p class="indent" > The use of Fortran&#x00A0;2003 offers a number of advantages over Fortran&#x00A0;95, mostly in
the handling of requirements for evolution and adaptation of the library to new
computing architectures and integration of new algorithms. For a detailed discussion
of our design see&#x00A0;<span class="cite">[<a
href="userhtmlli2.html#XSparse03">11</a>]</span>; other works discussing advanced programming in Fortran&#x00A0;2003
href="userhtmlli2.html#XSparse03">10</a>]</span>; other works discussing advanced programming in Fortran&#x00A0;2003
include&#x00A0;<span class="cite">[<a
href="userhtmlli2.html#XDesPat:11">1</a>,&#x00A0;<a
href="userhtmlli2.html#XDesPat:11">20</a>,&#x00A0;<a
href="userhtmlli2.html#XRouXiaXu:11">18</a>]</span>; sufficient support for Fortran&#x00A0;2003 is now available from many
compilers, including the GNU Fortran compiler from the Free Software Foundation
(as of version 4.8).
<!--l. 30--><p class="indent" > Previous approaches have been based on mixing Fortran&#x00A0;95, with its support for
object-based design, with other languages; these have been advocated by a number of
authors, e.g.&#x00A0;<span class="cite">[<a
href="userhtmlli2.html#Xmachiels">16</a>]</span>. Moreover, the Fortran&#x00A0;95 facilities for dynamic memory
href="userhtmlli2.html#Xmachiels">15</a>]</span>. Moreover, the Fortran&#x00A0;95 facilities for dynamic memory
management and interface overloading greatly enhance the usability of the PSBLAS
subroutines. In this way, the library can take care of runtime memory requirements
that are quite difficult or even impossible to predict at implementation or
compilation time.
<!--l. 40--><p class="indent" > The presentation of the PSBLAS library follows the general structure of the
proposal for serial Sparse BLAS&#x00A0;<span class="cite">[<a
href="userhtmlli2.html#Xsblas97">8</a>,&#x00A0;<a
href="userhtmlli2.html#Xsblas02">9</a>]</span>, which in its turn is based on the proposal for
href="userhtmlli2.html#Xsblas97">7</a>,&#x00A0;<a
href="userhtmlli2.html#Xsblas02">8</a>]</span>, which in its turn is based on the proposal for
BLAS on dense matrices&#x00A0;<span class="cite">[<a
href="userhtmlli2.html#XBLAS1">15</a>,&#x00A0;<a
href="userhtmlli2.html#XBLAS2">5</a>,&#x00A0;<a
href="userhtmlli2.html#XBLAS3">6</a>]</span>.
href="userhtmlli2.html#XBLAS1">14</a>,&#x00A0;<a
href="userhtmlli2.html#XBLAS2">4</a>,&#x00A0;<a
href="userhtmlli2.html#XBLAS3">5</a>]</span>.
<!--l. 45--><p class="indent" > The applicability of sparse iterative solvers to many different areas causes some
terminology problems because the same concept may be denoted through different
names depending on the application area. The PSBLAS features presented in this