Nvidia Virtual Applications
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Distributed Applications and Interoperable Systems
This book constitutes the proceedings of the 16th IFIP International Conference on Distributed Applications and Interoperable Systems, DAIS 2016, held in Heraklion, Crete, Greece, in June 2016. The 13 papers presented together with 3 short papers in this volume were carefully reviewed and selected from 34 submissions. They represent a compelling sample of the state-of-the-art in the area of distributed applications and interoperable systems. Cloud computing and services received a large emphasis this year.
Intelligent Automation with VMware
Author: Ajit Pratap Kundan
language: en
Publisher: Packt Publishing Ltd
Release Date: 2019-03-30
Use self-driven data centers to reduce management complexity by deploying Infrastructure as Code to gain value from investments. Key FeaturesAdd smart capabilities in VMware Workspace ONE to deliver customer insights and improve overall securityOptimize your HPC and big data infrastructure with the help of machine learningAutomate your VMware data center operations with machine learningBook Description This book presents an introductory perspective on how machine learning plays an important role in a VMware environment. It offers a basic understanding of how to leverage machine learning primitives, along with a deeper look into integration with the VMware tools used for automation today. This book begins by highlighting how VMware addresses business issues related to its workforce, customers, and partners with emerging technologies such as machine learning to create new, intelligence-driven, end user experiences. You will learn how to apply machine learning techniques incorporated in VMware solutions for data center operations. You will go through management toolsets with a focus on machine learning techniques. At the end of the book, you will learn how the new vSphere Scale-Out edition can be used to ensure that HPC, big data performance, and other requirements can be met (either through development or by fine-tuning guidelines) with mainstream products. What you will learnOrchestrate on-demand deployments based on defined policiesAutomate away common problems and make life easier by reducing errors Deliver services to end users rather than to virtual machinesReduce rework in a multi-layered scalable manner in any cloudExplore the centralized life cycle management of hybrid cloudsUse common code so you can run it across any cloud Who this book is for This book is intended for those planning, designing, and implementing the virtualization/cloud components of the Software-Defined Data Center foundational infrastructure. It helps users to put intelligence in their automation tasks to get self driving data center. It is assumed that the reader has knowledge of, and some familiarity with, virtualization concepts and related topics, including storage, security, and networking.
High Performance Computing
This book constitutes revised selected papers from 10 workshops that were held as the ISC High Performance 2017 conference in Frankfurt, Germany, in June 2017. The 59 papers presented in this volume were carefully reviewed and selected for inclusion in this book. They stem from the following workshops: Workshop on Virtualization in High-Performance Cloud Computing (VHPC) Visualization at Scale: Deployment Case Studies and Experience Reports International Workshop on Performance Portable Programming Models for Accelerators (P^3MA) OpenPOWER for HPC (IWOPH) International Workshop on Data Reduction for Big Scientific Data (DRBSD) International Workshop on Communication Architectures for HPC, Big Data, Deep Learning and Clouds at Extreme Scale Workshop on HPC Computing in a Post Moore's Law World (HCPM) HPC I/O in the Data Center ( HPC-IODC) Workshop on Performance and Scalability of Storage Systems (WOPSSS) IXPUG: Experiences on Intel Knights Landing at the One Year Mark International Workshop on Communication Architectures for HPC, Big Data, Deep Learning and Clouds at Extreme Scale (ExaComm)