scholar.google.com › citations
In this work, we combine skeletal programming with model-driven software development (MDSD) to increase the freedom of choice regarding the employed GPU library ...
In this paper, we will show how CUDA can fully utilize the tremendous power of these GPUs. CUDA is NVIDIA's parallel computing architecture. It enables dramatic ...
People also ask
What is the typical programming method to develop applications with GPUs?
What is GPU Modelling?
What is the programming model of NVIDIA GPU?
What programming language do GPUs use?
The use of transformations is an element of the Model-Driven Engineering approach (MDE) [19, 21, 27]. The aim of the paper is to present transformations of a ...
Jul 26, 2022 · There are three main ways to accelerate GPU applications: compiler directives, programming languages, and preprogrammed libraries.
Aug 22, 2023 · HMM simplifies the programming model by removing the need for explicit memory management for GPU programs that run on common PCIe-based (x86, ...
Feb 1, 2024 · By powering AI and ML projects with GPUs instead of other hardware, you can reshape the way data-centric applications are conceived and executed ...
Jun 29, 2020 · We combine trace-driven simulation of MPI communication using the TraceR-CODES framework with a profiling-based roofline model for GPU kernels.
It is a C++-based ecosystem that provides a programming model for developing efficient and scalable parallel applications that run on many-core architectures ...
Missing: Driven | Show results with:Driven
Nov 2, 2024 · This article explores the role of GPUs in modern software development, discussing their architecture, applications, programming models, ...
Jun 29, 2020 · We propose a methodology for end-to-end performance modeling of distributed GPU applications. Our work strives to create performance models that are both ...