Accelerated MD Program Using CUDA Technology
نویسندگان
چکیده
منابع مشابه
Cuda Accelerated Ltl Model Checking Cuda Accelerated Ltl Model Checking *
Recent technological developments made available various many-core hardware platforms. For example, a SIMD-like hardware architecture became easily accessible for many users who have their computers equipped with modern NVIDIA GPU cards with CUDA technology. In this paper we redesign the maximal accepting predecessors algorithm [7] for LTL model checking in terms of matrix-vector product in ord...
متن کاملGPU-Accelerated SART Reconstruction Using the CUDA Programming Environment
The Common Unified Device Architecture (CUDA) introduced in 2007 by NVIDIA is a recent programming model making use of the unified shader design of the most recent graphics processing units (GPUs). The programming interface allows algorithm implementation using standard C language along with a few extensions without any knowledge about graphics programming using OpenGL, DirectX, and shading lan...
متن کاملGPU-Accelerated Geodesic Fiber Tracking for HARDI Data using CUDA
Disclaimer This document contains a student thesis (bachelor's or master's), as authored by a student at Eindhoven University of Technology. Student theses are made available in the TU/e repository upon obtaining the required degree. The grade received is not published on the document as presented in the repository. The required complexity or quality of research of student theses may vary by pr...
متن کاملPoster: CUDA-Accelerated Continuous 2D Scatterplots
In this poster, we present how our previously published method of computing continuous 2D scatterplots can be performed with hardware acceleration on a GPU. By doing this, we exploit the parallel processing ability of current graphics hardware to improve the performance of continuous scatterplots by up to two orders of magnitude. For medium-sized tetrahedral data sets, we achieve interactive co...
متن کاملCUDA-accelerated feature matching for image stitching
Image stitching is an algorithmic pipeline that takes as input an unordered set of images and combines a subset of the input into one continuous canvas. It has applications in a wide variety of fields, including mobile phones, agriculture, military surveillance and medical imaging. For large problem sizes, the compute time of the pipeline is dominated by a step known as “feature matching”. How ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Communications in Physics
سال: 2011
ISSN: 0868-3166,0868-3166
DOI: 10.15625/0868-3166/21/2/107