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Intel Fortran Compiler, as part of Intel OneAPI HPC toolkit, is a group of Fortran compilers from Intel for Windows, macOS, and Linux. Overview.
oneAPI is an open standard, adopted by Intel, [1] for a unified application programming interface (API) intended to be used across different computing accelerator (coprocessor) architectures, including GPUs, AI accelerators and field-programmable gate arrays. It is intended to eliminate the need for developers to maintain separate code bases ...
Intel oneAPI DPC++/C++ Compiler is available for Windows and Linux and supports compiling C, C++, SYCL, and Data Parallel C++ (DPC++) source, targeting Intel IA-32, Intel 64 (aka x86-64), Core, Xeon, and Xeon Scalable processors, as well as GPUs including Intel Processor Graphics Gen9 and above, Intel X e architecture, and Intel Programmable Acceleration Card with Intel Arria 10 GX FPGA. [5]
Intel oneAPI DPC++/C++ Compiler (icx) Intel: Yes: ... Simply Fortran, Lahey Fortran Intel Fortran Compiler Classic (ifort) Intel: ... List of free C/C++ compilers and ...
Intel oneAPI Base Toolkit + Intel oneAPI HPC toolkit contain all the tools in Parallel Studio XE and more. One significant addition is a Data Parallel C++ (DPC++) [ 6 ] compiler designed to allow developers to reuse code across hardware targets (CPUs and accelerators such as GPUs and FPGAs).
Intel launched the oneAPI Math Kernel Library in November 1994, and called it Intel BLAS Library. [9] In 1996, the library was renamed to Intel Math Kernel Library until April 2020, when intel oneMKL has become part of oneAPI initiative to support multiple hardware architectures, holding the current name Intel oneAPI Math Kernel Library.
The library supports Intel and compatible processors and is available for Linux, macOS and Windows. It is available separately or as a part of Intel oneAPI Base Toolkit. [4] Intel IPP releases use a semantic versioning schema, so that even though the major version looks like a year (YYYY), it is not technically meant to be a year. So it might ...
Intel Advisor helps find the loops that will benefit from better vectorization, identify where it is safe to force compiler vectorization. [3] It supports analysis of scalar, SSE , AVX , AVX2 and AVX-512 -enabled codes generated by Intel , GNU and Microsoft compilers auto-vectorization.