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Windows 64-bit and 32-bit applications, C, C++, .NET, and dlls generated by any language compiler. Performance and memory profiler that identifies time-intensive functions and detects memory leaks and errors. Proprietary gprof: Linux/Unix Any language supported by gcc: Several tools with combined sampling and call-graph profiling.
Nvidia's CUDA is closed-source, whereas AMD ROCm is open source. There is open-source software built on top of the closed-source CUDA, for instance RAPIDS . CUDA is able run on consumer GPUs, whereas ROCm support is mostly offered for professional hardware such as AMD Instinct and AMD Radeon Pro .
In computing, Windows on Windows (commonly referred to as WOW) [1] [2] [3] is a discontinued compatibility layer of 32-bit versions of the Windows NT family of operating systems since 1993 with the release of Windows NT 3.1, which extends NTVDM to provide limited support for running legacy 16-bit programs written for Windows 3.x or earlier.
Fat binaries were a feature of NeXT's NeXTSTEP/OPENSTEP operating system, starting with NeXTSTEP 3.1. In NeXTSTEP, they were called "Multi-Architecture Binaries". Multi-Architecture Binaries were originally intended to allow software to be compiled to run both on NeXT's Motorola 68k-based hardware and on Intel IA-32-based PCs running NeXTSTEP, with a single binary file for both platforms. [10]
Singularity is a free and open-source computer program that performs operating-system-level virtualization also known as containerization. [4]One of the main uses of Singularity is to bring containers and reproducibility to scientific computing and the high-performance computing (HPC) world.
DPC++ [8] [9] is a programming language implementation of oneAPI, built upon the ISO C++ and Khronos Group SYCL standards. [10] DPC++ is an implementation of SYCL with extensions that are proposed for inclusion in future revisions of the SYCL standard, including: unified shared memory, group algorithms, and sub-groups. [11] [12] [13]
The dominant proprietary framework is Nvidia CUDA. [13] Nvidia launched CUDA in 2006, a software development kit (SDK) and application programming interface (API) that allows using the programming language C to code algorithms for execution on GeForce 8 series and later GPUs. ROCm, launched in 2016, is AMD's open-source response to CUDA.
CUDA code runs on both the central processing unit (CPU) and graphics processing unit (GPU). NVCC separates these two parts and sends host code (the part of code which will be run on the CPU) to a C compiler like GNU Compiler Collection (GCC) or Intel C++ Compiler (ICC) or Microsoft Visual C++ Compiler, and sends the device code (the part which will run on the GPU) to the GPU.