9781627056021-1627056025-Architectural and Operating System Support for Virtual Memory (Synthesis Lectures on Computer Architecture, 42)

Architectural and Operating System Support for Virtual Memory (Synthesis Lectures on Computer Architecture, 42)

ISBN-13: 9781627056021
ISBN-10: 1627056025
Author: Margaret Martonosi, Abhishek Bhattacharjee, Daniel Lustig
Publication date: 2017
Publisher: Morgan & Claypool
Format: Paperback 157 pages
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Book details

ISBN-13: 9781627056021
ISBN-10: 1627056025
Author: Margaret Martonosi, Abhishek Bhattacharjee, Daniel Lustig
Publication date: 2017
Publisher: Morgan & Claypool
Format: Paperback 157 pages

Summary

Architectural and Operating System Support for Virtual Memory (Synthesis Lectures on Computer Architecture, 42) (ISBN-13: 9781627056021 and ISBN-10: 1627056025), written by authors Margaret Martonosi, Abhishek Bhattacharjee, Daniel Lustig, was published by Morgan & Claypool in 2017. With an overall rating of 3.9 stars, it's a notable title among other Computer Science books. You can easily purchase or rent Architectural and Operating System Support for Virtual Memory (Synthesis Lectures on Computer Architecture, 42) (Paperback) from BooksRun, along with many other new and used Computer Science books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $2.34.

Description

This book provides computer engineers, academic researchers, new graduate students, and seasoned practitioners an end-to-end overview of virtual memory. We begin with a recap of foundational concepts and discuss not only state-of-the-art virtual memory hardware and software support available today, but also emerging research trends in this space. The span of topics covers processor microarchitecture, memory systems, operating system design, and memory allocation. We show how efficient virtual memory implementations hinge on careful hardware and software cooperation, and we discuss new research directions aimed at addressing emerging problems in this space.

Virtual memory is a classic computer science abstraction and one of the pillars of the computing revolution. It has long enabled hardware flexibility, software portability, and overall better security, to name just a few of its powerful benefits. Nearly all user-level programs today take for granted that they will have been freed from the burden of physical memory management by the hardware, the operating system, device drivers, and system libraries.

However, despite its ubiquity in systems ranging from warehouse-scale datacenters to embedded Internet of Things (IoT) devices, the overheads of virtual memory are becoming a critical performance bottleneck today. Virtual memory architectures designed for individual CPUs or even individual cores are in many cases struggling to scale up and scale out to today's systems which now increasingly include exotic hardware accelerators (such as GPUs, FPGAs, or DSPs) and emerging memory technologies (such as non-volatile memory), and which run increasingly intensive workloads (such as virtualized and/or "big data" applications). As such, many of the fundamental abstractions and implementation approaches for virtual memory are being augmented, extended, or entirely rebuilt in order to ensure that virtual memory remains viable and performant in the years to come.

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