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CuPy is an open source library for GPU-accelerated computing with Python programming language, providing support for multi-dimensional arrays, sparse matrices, and a variety of numerical algorithms implemented on top of them. [3] CuPy shares the same API set as NumPy and SciPy, allowing it to be a drop-in replacement to run NumPy/SciPy code on GPU.
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.
CUDA provides both a low level API (CUDA Driver API, non single-source) and a higher level API (CUDA Runtime API, single-source). The initial CUDA SDK was made public on 15 February 2007, for Microsoft Windows and Linux. Mac OS X support was later added in version 2.0, [17] which supersedes the beta released February 14, 2008. [18]
The Nvidia CUDA Compiler (NVCC) translates code written in CUDA, a C++-like language, into PTX instructions (an assembly language represented as American Standard Code for Information Interchange text), and the graphics driver contains a compiler which translates PTX instructions into executable binary code, [2] which can run on the processing ...
Free/open source - BSD version is part of 4.2BSD and GNU version is part of GNU Binutils (by GNU Project) HWPMC: FreeBSD 6.0+ System-level and process-level counting and sampling hardware performance monitoring framework supporting multiple architectures. BSD Instana: Linux, Windows, iOS, Android, Azure, AWS, AIX, Solaris, HP/UX, zOS, zLinux
A platform-independent, command-line static source code analyzer. Integrates with PMD and SpotBugs. Sourcetrail (retired) 2021-04 (2021.4.19) Yes; GPL — C, C++ Java — — Python Perl An open-source source code explorer that provides interactive dependency graphs and supports multiple programming languages. Sparse: 2021-09-06 (0.6.4) Yes ...
The computations are offloaded to the GPUs through either the low-level or the high-level API introduced with CUDA. CUDA is only available for Nvidia's graphics products. Nvidia OptiX is part of Nvidia GameWorks. OptiX is a high-level, or "to-the-algorithm" API, meaning that it is designed to encapsulate the entire algorithm of which ray ...
kitty is a free and open-source GPU-accelerated [2] [3] terminal emulator for Linux, macOS, [4] and some BSD distributions. [5] focused on performance and features. kitty is written in a mix of C and Python programming languages.