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» Incorporating Data Movement into Grid Task Scheduling
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IPPS
2008
IEEE
14 years 3 months ago
Data throttling for data-intensive workflows
— Existing workflow systems attempt to achieve high performance by intelligently scheduling tasks on resources, sometimes even attempting to move the largest data files on the hi...
Sang-Min Park, Marty Humphrey
IROS
2008
IEEE
151views Robotics» more  IROS 2008»
14 years 3 months ago
A performance sensitive hormone-inspired system for task distribution amongst evolving robots
— A hormone-inspired task scheduling method is described which assigns tasks to a group of robots, taking into account the robots’ performances. This method draws on previous w...
Joanne H. Walker, Myra S. Wilson
HIPC
2009
Springer
13 years 6 months ago
Optimizing the use of GPU memory in applications with large data sets
Abstract--With General Purpose programmable GPUs becoming more and more popular, automated tools are needed to bridge the gap between achievable performance from highly parallel ar...
Nadathur Satish, Narayanan Sundaram, Kurt Keutzer
ISPDC
2005
IEEE
14 years 2 months ago
Adaptive window scheduling for a hierarchical agent system
DIET (Distributed Interactive Engineering Toolbox) is a toolbox for the construction of Network Enabled Server (NES) systems. For most NES systems, as for most grid middleware sys...
Holly Dail, Frederic Desprez
SIGMOD
2011
ACM
276views Database» more  SIGMOD 2011»
12 years 11 months ago
Schedule optimization for data processing flows on the cloud
Scheduling data processing workflows (dataflows) on the cloud is a very complex and challenging task. It is essentially an optimization problem, very similar to query optimizati...
Herald Kllapi, Eva Sitaridi, Manolis M. Tsangaris,...