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- W35315038 abstract "Publisher Summary This chapter discusses areas where compilers fall short in optimizing Fortran programs and how programmers can restructure their code to assist the compiler in getting the most out of the target “vector” processor. A common fault of programmers optimizing a Fortran application is assuming that they know which portions of code use most of the central-processing time and beginning optimization without ever obtaining accurate run-time statistics. This often results from the belief that the distribution of time on a “scalar” computer will carry over to a vector processor. This assumption is usually very inaccurate. All of the supercomputer manufacturers understand the importance of locating the “hot spots”—the most time-consuming portions of the code. They have supplied tools for assisting their users in instrumenting the code to obtain the information necessary to determine the parts of their programs to optimize first. On some UNIX systems, a profiler of central processing time can analyze the time used within a subroutine on a line-by-line basis." @default.
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- W35315038 date "1989-01-01" @default.
- W35315038 modified "2023-09-23" @default.
- W35315038 title "VECTORIZATION OF FORTRAN PROGRAMS" @default.
- W35315038 doi "https://doi.org/10.1016/b978-0-12-444760-8.50009-2" @default.
- W35315038 hasPublicationYear "1989" @default.
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