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Intel C++ Compiler Classic is available for Windows, Linux, and macOS and supports compiling C and C++ source, targeting Intel IA-32, Intel 64 (x86-64), Core, Xeon, and Xeon Scalable processors. [ 5] It supports the Microsoft Visual Studio and Eclipse IDE development environments. Intel C++ Compiler Classic supports threading via Intel oneAPI ...
C++ has enumeration types that are directly inherited from C's and work mostly like these, except that an enumeration is a real type in C++, giving added compile-time checking. Also (as with structs), the C++ enum keyword is combined with a typedef, so that instead of naming the type enum name, simply name it name.
The GNU Debugger (GDB) is a portable debugger that runs on many Unix-like systems and works for many programming languages, including Ada, Assembly, C, C++, D, Fortran, Haskell, Go, Objective-C, OpenCL C, Modula-2, Pascal, Rust, [2] and partially others.
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Clang. Clang ( / ˈklæŋ /) [ 6] is a compiler front end for the C, C++, Objective-C, and Objective-C++ programming languages, as well as the OpenMP, [ 7] OpenCL, RenderScript, CUDA, SYCL, and HIP [ 8] frameworks. It acts as a drop-in replacement for the GNU Compiler Collection (GCC), supporting most of its compilation flags and unofficial ...
C ( pronounced / ˈsiː / – like the letter c) [ 6 ] is a general-purpose programming language. It was created in the 1970s by Dennis Ritchie and remains very widely used and influential. By design, C's features cleanly reflect the capabilities of the targeted CPUs. It has found lasting use in operating systems code (especially in kernels [ 7 ...
Maple, Mathematica, and several other computer algebra software include arbitrary-precision arithmetic. Mathematica employs GMP for approximate number computation. PARI/GP, an open source computer algebra system that supports arbitrary precision. Qalculate!, an open-source free software arbitrary precision calculator with autocomplete.
MLIR (software) MLIR is a unifying software framework for compiler development. [ 1] MLIR can make optimal use of a variety of computing platforms such as GPUs, DPUs, TPUs, FPGAs, AI ASICS, and quantum computing systems (QPUs). [ 2] MLIR is a sub-project of the LLVM Compiler Infrastructure project and aims to build a "reusable and extensible ...