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008			220601s2018 sz | s |||| 0|eng d
020			_a9783031017575
024	7		_a10.1007/978-3-031-01757-5 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9.V5 _b2018 EB
100	1		_aBhattacharjee, Abhishek, _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686875 _d1984-
245	1	0	_aArchitectural and Operating System Support for Virtual Memory _cby Abhishek Bhattacharjee, Daniel Lustig
250			_a1st edition 2018
264		1	_aCham _bSpringer International Publishing _c2018
300			_a1 recurso en línea (XVII, 157 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Computer Architecture _x1935-3243
505	0		_aPreface -- Acknowledgments -- Introduction -- The Virtual Memory Abstraction -- Implementing Virtual Memory: An Overview -- Modern VM Hardware Stack -- Modern VM Software Stack -- Virtual Memory, Coherence, and Consistency -- Heterogeneity and Virtualization -- Advanced VM Hardware -- Advanced VM Hardware-software Co-design -- Conclusion -- Bibliography -- Authors' Biographies.
520			_aThis 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.
988			_aSynthesis Collection of Technology_2018
650		7	_2embne _9666069 _aInformática en la nube
650		7	_2embne _9163324 _aSistemas virtuales (Informática)
700	1		_aLustig, Daniel _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686876 _q(Daniel Joseph)
776	0	8	_iPrinted edition: _z9783031006296
776	0	8	_iPrinted edition: _z9783031028854
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-01757-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2023 _dz _esc _zSI