• Title: Intel Trusted Execution Technology for Server Platforms: A Guide to More Secure Datacenters
• Author(s) William Futral, James Greene
• Publisher: Apress; 1st ed. edition; eBook (Creative Commons Licensed)
• License(s): Creative Commons License (CC)
• Paperback: 173 pages
• eBook: PDF and ePub
• Language: English
• ISBN-10: 143026148X
• ISBN-13: 978-1430261483
• Share This:  

Book Description

This open access book explains Intel Trusted Execution Technology for Servers, its purpose, application, advantages, and limitations. This book guides the server administrator / datacenter manager in enabling the technology as well as establishing a launch control policy that he can use to customize the server’s boot process to fit the datacenter’s requirements.

• N/A

• Amazon

• Electrical and Electronic Engineering
• Computer System, Organization, and Architecture
• Information Security

• Intel Trusted Execution Technology for Server Platforms: A Guide to More Secure Datacenters
• The Mirror Site (1) - PDF

• Intel Xeon Phi Coprocessor Architecture and Tools

  Provides developers a comprehensive introduction and in-depth look at the Intel Xeon Phi coprocessor architecture and the corresponding parallel data structure tools and algorithms used in the various technical computing applications.

• High Performance Computing (Charles Severance)

  The purpose of this book is to teach new programmers and scientists about the basics of High Performance Computing. It presents techniques that address new performance issues in the programming of High-Performance Computing (HPC) applications.

• Data Parallel C++, 2nd Edition: Programming C++ and SYCL

  Learn how to accelerate C++ programs using Data Parallelism and SYCL. Enables C++ programmers to be at the forefront of this exciting and important development that is helping to push computing to new levels.

• High Performance Computing and Numerical Modelling

  This textbook provides a step-by-step approach to numerical methods in engineering modelling. It provides a consistent treatment of the topic, from the ground up, to reinforce for students that numerical methods are a set of mathematical modelling tools.

• Introduction to High-Performance Scientific Computing (Eijkhout)

  This is a textbook that teaches the bridging topics between numerical analysis, parallel computing, code performance, large scale applications. it assumes a basic knowledge of numerical computation and proficiency in Fortran or C programming.

• High Performance Computing For Dummies, Sun & AMD Edition

  This book is intended for anyone who has heard about the many benefits of using HPC (such as streamlining processes or saving money). This book explains what HPC is and shows how it can help you or others within your company.

• Is Parallel Programming Hard? If So, What Can You Do About It?

  It examines what makes parallel programming hard, and describes design techniques that can help you avoid many parallel-programming pitfalls. It is primarily intended for low-level C/C++ code, but offers valuable lessons for other environments as well.

• Introduction to Parallel Computing (Blaise Barney)

  This book explains how to design, debug, and evaluate the performance of distributed and shared-memory programs. It teaches students how to compile, run and modify example programs. It is a complete end-to-end source of information on almost all aspects.

• The Practice of Parallel Programming (Sergey A. Babkin)

  This book provides an advanced guide to the issues of the parallel and multithreaded programming. It goes beyond the high-level design of the applications, into the details that are often overlooked but vital to make the programs work.

• Notes on Theory of Distributed Systems (James Aspnes)

  This book rovides a comprehensive source of material on the principles and practice of distributed computer systems and the exciting new developments based on them, using a wealth of modern case studies to illustrate their design and development.

• Parallel Computing Works! (Geoffrey C. Fox, et al.)

  A clear illustration of how parallel computers can be successfully applied to large-scale scientific computations. This book demonstrates how a variety of applications were implemented on real parallel computers to produce new scientific results.