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96
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CLUSTER
2007
IEEE
15 years 21 days ago
Malleable applications for scalable high performance computing
Travis J. Desell, Kaoutar El Maghraoui, Carlos A. ...
113
Voted
PDP
2010
IEEE
15 years 5 months ago
Malleable-Lab: A Tool for Evaluating Adaptive Online Schedulers on Malleable Jobs
—The emergence of multi-core computers has led to explosive development of parallel applications and hence the need of efficient schedulers for parallel jobs. Adaptive online sc...
Yangjie Cao, Hongyang Sun, Wen-Jing Hsu, Depei Qia...
130
Voted
EGH
2011
Springer
14 years 27 days ago
High-Performance Software Rasterization on GPUs
In this paper, we implement an efficient, completely software-based graphics pipeline on a GPU. Unlike previous approaches, we obey ordering constraints imposed by current graphi...
Samuli Laine, Tero Karras
88
Voted
CLUSTER
2007
IEEE
15 years 7 months ago
Scheduling malleable applications in multicluster systems
— In large-scale distributed execution environments such as multicluster systems and grids, resource availability may vary due to resource failures and because resources may be a...
Jeremy Buisson, Omer Ozan Sonmez, Hashim H. Mohame...
215
Voted
CODES
2011
IEEE
14 years 28 days ago
DistRM: distributed resource management for on-chip many-core systems
The trend towards many-core systems comes with various issues, among them their highly dynamic and non-predictable workloads. Hence, new paradigms for managing resources of many-c...
Sebastian Kobbe, Lars Bauer, Daniel Lohmann, Wolfg...