Learn the basics of do-it-yourself ZFS storage on Linux. This book delivers explanations of key features and provides best practices for planning, creating and sharing your storage. ZFS as a file system simplifies many aspects of the storage administrator´s day-to-day job and solves a lot of problems that administrators face, but it can be confusing. Introducing ZFS on Linux addresses some of these issues and shows you how to resolve them. This book explains the technical side of ZFS, through planning the hardware list to planning the physical and logical layout of the storage. What You´ll Learn Understand the gains ZFS gives system and storage administrators and utilize its features Install and configure ZFS software Create and maintain ZFS pool Administer ZFS storage, including sharing Who This Book is For This book is ideal for those who already have experience working with Linux systems but want to understand the bare basics of ZFS before moving further.
Introducing ZFS on Linux:Understand the Basics of Storage with ZFS. 1st ed. Damian Wojslaw
Introducing Linux Distros:1st ed Jose Dieguez Castro
Introducing UNIX and Linux:Auflage 2002 Mike Joy, Stephen Jarvis, Michael Luck
Introducing UNIX and Linux: Stephen Jarvis, Mike Joy, Michael Luck
Introducing ZFS on Linux:Understand the Basics of Storage with ZFS. 1st ed Damian Wojs´aw, Damian Wojslaw
If you need to learn CUDA but don´t have experience with parallel computing, CUDA Programming: A Developer´s Introduction offers a detailed guide to CUDA with a grounding in parallel fundamentals. It starts by introducing CUDA and bringing you up to speed on GPU parallelism and hardware, then delving into CUDA installation. Chapters on core concepts including threads, blocks, grids, and memory focus on both parallel and CUDA-specific issues. Later, the book demonstrates CUDA in practice for optimizing applications, adjusting to new hardware, and solving common problems. Comprehensive introduction to parallel programming with CUDA, for readers new to both Detailed instructions help readers optimize the CUDA software development kit Practical techniques illustrate working with memory, threads, algorithms, resources, and more Covers CUDA on multiple hardware platforms: Mac, Linux and Windows with several NVIDIA chipsets Each chapter includes exercises to test reader knowledge