Titlebook: GPU Computing and Applications; Yiyu Cai,Simon See Book 2015 Springer Science+Business Media Singapore 2015 Big Data GPU.Big Data Processi

Pantry

Graphics Native Approach to Identifying Surface Atoms of Macromolecules,molecular docking. We present a simple and easy-to-implement algorithm for identifying surface atoms of macromolecules from interior atoms. Unlike existing methods that are based on geometry computations, our approach takes the advantage of graphics hardware, and most of the computations are fulfill

硬化

callous

macular-edema

Collision Detection Based on Fuzzy Scene Subdivision,s and even discontinuous ones. For this, we subdivide the whole scene with all objects into connected but totally independent parts by a fuzzy clustering algorithm. Following, for every part, our algorithm performs a Principal Component Analyses to achieve the best sweep direction for the sweep-plan

追蹤

Smoothed Particle Hydrodynamics Applied to Cartilage Deformation,nt (FAI), a condition that is considered a primary cause of osteoarthritis. Presented is a previously proven method for elastic solid deformation using smoothed particle hydrodynamics (SPH). Smoothed particle hydrodynamics is a mesh-free method that has advantages in computational speed and accuracy

中國紀(jì)念碑

反復(fù)無常

A Middleware Framework for Programmable Multi-GPU-Based Big Data Applications,here is no existing middleware framework that enables automatic distribution of data and processing across heterogeneous computing resources for structured and unstructured Big Data applications. Thus, we propose a middleware framework for “Big Data” analytics that provides mechanisms for automatic

GIBE

On the Efficient Implementation of a Real-Time Kd-Tree Construction Algorithm,performance. Several years ago, Zhou et al. devised an effective kd-tree construction algorithm that runs entirely on a GPU. In this chapter, we present improved GPU programming techniques for implementing the algorithm more efficiently on current GPUs. One of the major ideas is to reduce the number

蚊子

kindred

Soft Computing Methods for Big Data Problems,gery, and hyperspectral imagery. Therefore, big data computing needs advanced technologies or methods to solve the issues of computational time to extract valuable information without information loss. In this context, generally, machine learning (ML) algorithms have been considered to learn and fin