High Performance Computing Vs Cloud Computing


Download High Performance Computing Vs Cloud Computing PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get High Performance Computing Vs Cloud Computing book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.

Download

High-Performance Computing in Finance


High-Performance Computing in Finance

Author: M. A. H. Dempster

language: en

Publisher: CRC Press

Release Date: 2018-02-21


DOWNLOAD





High-Performance Computing (HPC) delivers higher computational performance to solve problems in science, engineering and finance. There are various HPC resources available for different needs, ranging from cloud computing– that can be used without much expertise and expense – to more tailored hardware, such as Field-Programmable Gate Arrays (FPGAs) or D-Wave’s quantum computer systems. High-Performance Computing in Finance is the first book that provides a state-of-the-art introduction to HPC for finance, capturing both academically and practically relevant problems.

Cloud Computing and Big Data


Cloud Computing and Big Data

Author: C. Catlett

language: en

Publisher: IOS Press

Release Date: 2013-10-22


DOWNLOAD





Cloud computing offers many advantages to researchers and engineers who need access to high performance computing facilities for solving particular compute-intensive and/or large-scale problems, but whose overall high performance computing (HPC) needs do not justify the acquisition and operation of dedicated HPC facilities. There are, however, a number of fundamental problems which must be addressed, such as the limitations imposed by accessibility, security and communication speed, before these advantages can be exploited to the full. This book presents 14 contributions selected from the International Research Workshop on Advanced High Performance Computing Systems, held in Cetraro, Italy, in June 2012. The papers are arranged in three chapters. Chapter 1 includes five papers on cloud infrastructures, while Chapter 2 discusses cloud applications. The third chapter in the book deals with big data, which is nothing new – large scientific organizations have been collecting large amounts of data for decades – but what is new is that the focus has now broadened to include sectors such as business analytics, financial analyses, Internet service providers, oil and gas, medicine, automotive and a host of others. This book will be of interest to all those whose work involves them with aspects of cloud computing and big data applications.

High-performance Big Data Computing


High-performance Big Data Computing

Author: Dhabaleswar K. Panda

language: en

Publisher:

Release Date: 2022


DOWNLOAD





"This book explores how to achieve high performance and scalability for big data middleware and applications"--