美国计算机协会期刊
期刊
会议
图书
作者:Arjen Markus
来源:[J].ACM SIGPLAN Fortran Forum, 2014, Vol.33 (1), pp.4-5ACM
作者:John Reid
来源:[J].ACM SIGPLAN Fortran Forum, 2018, Vol.37 (1), pp.5-43ACM
摘要:The aim of this paper is to summarize the new features of the Fortran standard that is expected to be published in 2018. It was known informally as Fortran 2015 because the choice of features to include was made in 2015, but WG5 has decided to rename it Fortran 2018 to reflect th...
作者:Ian D. Chivers , Jane Sleightholme
来源:[J].ACM SIGPLAN Fortran Forum, 2018, Vol.37 (2), pp.19-41ACM
摘要:This is a repeating article in Fortran Forum. The first version appeared in Fortran Forum in April 2007. The basis for the entries in the original list of features was a report by John Reid. An electronic version can be found at: ftp://ftp.nag.co.uk/sc22wg5/N1601-N1650/N1648.pdf ...
作者:Michelle Anderson , Sisi Garnet Liu , Daniel Nagle
来源:[J].ACM SIGPLAN Fortran Forum, 2018, Vol.37 (2), pp.8-18ACM
摘要:Large, high-performance programs are often written in Fortran. Modern Fortran supports interoperability with C, which is beneficial because many useful libraries expose a C language interface. However, manually preparing the Fortran interfaces for each routine in a substantial C ...
作者:Dick Hendrikson
来源:[J].ACM SIGPLAN Fortran Forum, 2018, Vol.37 (2), pp.2-7ACM
摘要:There was a reunion of the J3/WG5 Fortran old timers, the "geezers", on June 9th and 10th; just before the joint J3/WG5 meeting in Oakland CA. 25 people attended parts of the reunion. 18 were old enough to be true Fortran geezers; many joined the committee back in the 70s. Anothe...
作者:Ian D. Chivers , Jane Sleightholme
来源:[J].ACM SIGPLAN Fortran Forum, 2019, Vol.37 (3), pp.8-31ACM
摘要:This is a repeating article in Fortran Forum. The first version appeared in Fortran Forum in April 2007. It has been revised on a regular basis since. The 25th revision has updated all references to WG5 documents which used to reside on an ftp server at Nag (https://www.nag.co.uk...
作者:Milan Curcic
来源:[J].ACM SIGPLAN Fortran Forum, 2019, Vol.38 (1), pp.4-21ACM
摘要:This paper describes neural-fortran, a parallel Fortran framework for neural networks and deep learning. It features a simple interface to construct feed-forward neural networks of arbitrary structure and size, several activation functions, and stochastic gradient descent as the ...

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