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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.
AMD Core Math Library (ACML) is an end-of-life [1] software development library released by AMD, replaced by many open source libraries, including AMD libm 4.0. This library provides mathematical routines optimized for AMD processors. The successor to ACML is the AMD Optimizing CPU Libraries (AOCL), a set of mostly open source libraries ...
AMD CodeAnalyst is a GUI-based code profiler for x86 and x86-64-based machines.CodeAnalyst has similar look and feel on both Linux and Microsoft Windows platforms. CodeAnalyst uses specific hardware profiling techniques which are designed to work with AMD processors, as well as a timer-based profiling technique which does not require specific hardware support; this allows a subset of profiling ...
ROCm as a stack ranges from the kernel driver to the end-user applications. AMD has introductory videos about AMD GCN hardware, [10] and ROCm programming [11] via its learning portal. [12] One of the best technical introductions about the stack and ROCm/HIP programming, remains, to date, to be found on Reddit. [13]
In 2008, AMD deprecated the APL library in favor of an open-source derivative named Framewave. [ 1 ] [ 2 ] [ 3 ] Framewave is available as 32- and 64-bit static libraries for GCC 4.3 and Microsoft Visual Studio 2008, and as 32- and 64-bit dynamic libraries for the operating systems Linux, macOS , Solaris, and Windows.
Asynchronous module definition (AMD) is a specification for the programming language JavaScript. It defines an application programming interface (API) that defines code modules and their dependencies, and loads them asynchronously if desired. Implementations of AMD provide the following benefits: Website performance improvements.
AGESA was open sourced in early 2011, aiming to aid in the development of coreboot, a project attempting to replace PC's proprietary BIOS. [1] However, such releases never became the basis for the development of coreboot beyond AMD's family 15h, as they were subsequently halted.
They found that a C implementation of RDRAND ran about 2× slower than the default random number generator in C, and about 20× slower than the Mersenne Twister. Although a Python module of RDRAND has been constructed, it was found to be 20× slower than the default random number generator in Python, [ 20 ] although a performance comparison ...