Proceedings of the 12th International Symposium on Memory Management
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Perry Cheng, Erez Petrank
Proceedings of the 12th International Symposium on Memory Management
ISMM, 2013.

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@proceedings{ISMM-2013,
	acmid         = "2491894",
	address       = "Seattle, Washington, USA",
	editor        = "Perry Cheng and Erez Petrank",
	isbn          = "978-1-4503-2100-6",
	publisher     = "{ACM}",
	title         = "{Proceedings of the 12th International Symposium on Memory Management}",
	year          = 2013,
}

Contents (12 items)

ISMM-2013-Musuvathi #approach #consistency #memory management #modelling
Safety-first approach to memory consistency models (MM), pp. 1–2.
ISMM-2013-ReamesN #garbage collection #towards
Towards hinted collection: annotations for decreasing garbage collector pause times (PR, GCN), pp. 3–14.
ISMM-2013-MorikawaUI #adaptation #garbage collection #lisp
Adaptive scanning reduces sweep time for the Lisp2 mark-compact garbage collector (KM, TU, HI), pp. 15–26.
ISMM-2013-WhiteSAJ
Control theory for principled heap sizing (DRW, JS, JMA, REJ), pp. 27–38.
ISMM-2013-BrockGBD #named
Pacman: program-assisted cache management (JB, XG, BB, CD), pp. 39–50.
ISMM-2013-WangNG #effectiveness #generative #memory management
Generating sound and effective memory debuggers (YW, IN, RG), pp. 51–62.
ISMM-2013-KaliberaJ #benchmark #metric
Rigorous benchmarking in reasonable time (TK, REJ), pp. 63–74.
ISMM-2013-AignerK #benchmark #metric #named #towards
ACDC: towards a universal mutator for benchmarking heap management systems (MA, CMK), pp. 75–84.
ISMM-2013-LiCK #analysis #graph #pointer #precise #scalability
Precise and scalable context-sensitive pointer analysis via value flow graph (LL, CC, NK), pp. 85–96.
ISMM-2013-RavitchL #c #library #memory management
Analyzing memory ownership patterns in C libraries (TR, BL), pp. 97–108.
ISMM-2013-RicciGM #garbage collection #precise
Elephant tracks: portable production of complete and precise gc traces (NPR, SZG, JEBM), pp. 109–118.
ISMM-2013-BuBXC #big data #design
A bloat-aware design for big data applications (YB, VRB, G(X, MJC), pp. 119–130.

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