{"id":43,"date":"2018-01-17T23:04:26","date_gmt":"2018-01-17T23:04:26","guid":{"rendered":"https:\/\/polyhedronsolutions.com\/?page_id=43"},"modified":"2020-10-28T18:47:09","modified_gmt":"2020-10-28T18:47:09","slug":"polyhedron-solutions-home-page","status":"publish","type":"page","link":"https:\/\/polyhedronsolutions.com\/","title":{"rendered":""},"content":{"rendered":"

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Polyhedron Solutions is a software house based near Oxford in the UK.  We specialize in applications within the science and engineering fields. Polyhedron consultants have many years experience dealing with scientific software, from million line \u201cdusty deck\u201d Fortran 66 and 77 stalwarts, to bleeding edge HPC codes optimized for the latest generation of GPUs. Polyhedron\u2019s tools can automate the process of modernizing your code base to reveal and enhance its value, and Polyhedron\u2019s patented IP can improve the performance of HPC number crunchers.<\/p>\n

Polyhedron’s plusFORT<\/a> toolkit takes the hard work out the process of modernizing your code base to reveal and enhance its value.  plusFORT also includes tools, including HyperKWIC<\/a> and GXCHK<\/a>, which provide stakeholders with instant and interactive access to program documentation.  HyperKWIC works equally well with other languages such as C, C++, Delphi etc., and is available as a separate product.<\/p>\n

MPNF<\/a> is an iterative solver for sparse linear equations arising from space and time discretization of fluid flow problems.  It is designed to exploit the massively parallel processing capabilities of GPU-style processors, as supplied by companies such as NVIDIA.<\/p>\n","protected":false},"excerpt":{"rendered":"

Polyhedron Solutions is a software house based near Oxford in the UK.  We specialize in applications within the science and engineering fields. Polyhedron consultants have many years experience dealing with scientific software, from million line \u201cdusty deck\u201d Fortran 66 and 77 stalwarts, to bleeding edge HPC codes optimized for the latest generation of GPUs. Polyhedron\u2019s […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/polyhedronsolutions.com\/wp-json\/wp\/v2\/pages\/43"}],"collection":[{"href":"https:\/\/polyhedronsolutions.com\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/polyhedronsolutions.com\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/polyhedronsolutions.com\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/polyhedronsolutions.com\/wp-json\/wp\/v2\/comments?post=43"}],"version-history":[{"count":13,"href":"https:\/\/polyhedronsolutions.com\/wp-json\/wp\/v2\/pages\/43\/revisions"}],"predecessor-version":[{"id":962,"href":"https:\/\/polyhedronsolutions.com\/wp-json\/wp\/v2\/pages\/43\/revisions\/962"}],"wp:attachment":[{"href":"https:\/\/polyhedronsolutions.com\/wp-json\/wp\/v2\/media?parent=43"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}