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A concurrent programming language is defined as one which uses the concept of simultaneously executing processes or threads of execution as a means of structuring a program. A parallel language is able to express programs that are executable on more than one processor.
Download as PDF; Printable version; ... List of cross-platform multi-threading libraries for the C++ programming language. ... List of C++ multi-threading libraries.
OpenMP is an application programming interface (API) that supports multi-platform shared-memory multiprocessing programming in C, C++, and Fortran, [3] on many platforms, instruction-set architectures and operating systems, including Solaris, AIX, FreeBSD, HP-UX, Linux, macOS, and Windows.
This has the advantage of low-overhead polymorphism, since templates are a compile-time construct which modern C++ compilers can largely optimize away. oneTBB is available commercially as a binary distribution with support, [ 4 ] and as open-source software in both source and binary forms.
The GGUF (GGML Universal File) [30] file format is a binary format that stores both tensors and metadata in a single file, and is designed for fast saving, and loading of model data. [31] It was introduced in August 2023 by the llama.cpp project to better maintain backwards compatibility as support was added for other model architectures.
pthreads defines a set of C programming language types, functions and constants. It is implemented with a pthread.h header and a thread library.. There are around 100 threads procedures, all prefixed pthread_ and they can be categorized into five groups:
Qore is unique because it is an interpreted scripting language with fundamental support for multithreading (meaning more than one part of the same code can run at the same time), and additionally because it features automatic memory management (meaning programmers do not have to allocate and free memory explicitly) while also supporting the ...
Chapel, the Cascade High Productivity Language, is a parallel programming language that was developed by Cray, [3] and later by Hewlett Packard Enterprise which acquired Cray. It was being developed as part of the Cray Cascade project, a participant in DARPA 's High Productivity Computing Systems (HPCS) program, which had the goal of increasing ...